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ModelArts 20210430 (GA) API 24062022 provided by R&D (#27)

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Reviewed-on: docs/doc-exports#27
Reviewed-by: gtema <artem.goncharov@gmail.com>
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gtema 2022-09-06 07:30:43 +00:00
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</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.3 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Whether to clear hard example properties. The options are as follows: - <strong>true</strong>: Clear hard example properties. (Default value) - <strong>false</strong>: Do not clear hard example properties.</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Whether to clear hard example properties. The options are as follows:</p>
<ul><li><p><strong>true</strong>: Clear hard example properties. (Default value)</p>
</li><li><p><strong>false</strong>: Do not clear hard example properties.</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.1 "><p>description</p>
@ -72,7 +75,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.3 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Whether to export images to the version output directory during release. The options are as follows: - <strong>true</strong>: Export images to the version output directory. - <strong>false</strong>: Do not export images to the version output directory. (Default value)</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Whether to export images to the version output directory during release. The options are as follows:</p>
<ul><li><p><strong>true</strong>: Export images to the version output directory.</p>
</li><li><p><strong>false</strong>: Do not export images to the version output directory. (Default value)</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.1 "><p>remove_sample_usage</p>
@ -81,7 +87,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.3 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Whether to clear the existing usage information of a dataset during release. The options are as follows: - <strong>true</strong>: Clear the existing usage information of a dataset. (Default value) - <strong>false</strong>: Do not clear the existing usage information of a dataset.</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Whether to clear the existing usage information of a dataset during release. The options are as follows:</p>
<ul><li><p><strong>true</strong>: Clear the existing usage information of a dataset. (Default value)</p>
</li><li><p><strong>false</strong>: Do not clear the existing usage information of a dataset.</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.1 "><p>train_evaluate_sample_ratio</p>
@ -99,7 +108,11 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Format of a dataset version. The options are as follows: - <strong>Default</strong>: default format - <strong>CarbonData</strong>: CarbonData (supported only by table datasets) - <strong>CSV</strong>: CSV</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Format of a dataset version. The options are as follows:</p>
<ul><li><p><strong>Default</strong>: default format</p>
</li><li><p><strong>CarbonData</strong>: CarbonData (supported only by table datasets)</p>
</li><li><p><strong>CSV</strong>: CSV</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.1 "><p>version_name</p>
@ -117,7 +130,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.3 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Whether to write the column name in the first line of the CSV file during release. This field is valid for the table dataset. The options are as follows: - <strong>true</strong>: Write the column name in the first line of the CSV file. (Default value) - <strong>false</strong>: Do not write the column name in the first line of the CSV file.</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Whether to write the column name in the first line of the CSV file during release. This field is valid for the table dataset. The options are as follows:</p>
<ul><li><p><strong>true</strong>: Write the column name in the first line of the CSV file. (Default value)</p>
</li><li><p><strong>false</strong>: Do not write the column name in the first line of the CSV file.</p>
</li></ul>
</td>
</tr>
</tbody>

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</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.3 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.3.2.5.1.4 "><p>Label type. The options are as follows: - <strong>0</strong>: image classification - <strong>1</strong>: object detection - <strong>100</strong>: text classification - <strong>101</strong>: named entity recognition - <strong>102</strong>: text triplet relationship - <strong>103</strong>: text triplet entity - <strong>200</strong>: speech classification - <strong>201</strong>: speech content - <strong>202</strong>: speech paragraph labeling - <strong>600</strong>: video classification</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.3.2.5.1.4 "><p>Label type. The options are as follows:</p>
<ul><li><p><strong>0</strong>: image classification</p>
</li><li><p><strong>1</strong>: object detection</p>
</li><li><p><strong>100</strong>: text classification</p>
</li><li><p><strong>101</strong>: named entity recognition</p>
</li><li><p><strong>102</strong>: text triplet relationship</p>
</li><li><p><strong>103</strong>: text triplet entity</p>
</li><li><p><strong>200</strong>: speech classification</p>
</li><li><p><strong>201</strong>: speech content</p>
</li><li><p><strong>202</strong>: speech paragraph labeling</p>
</li><li><p><strong>600</strong>: video classification</p>
</li></ul>
</td>
</tr>
</tbody>
@ -154,7 +165,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p>Label attribute type. The options are as follows: - <strong>text</strong>: text - <strong>select</strong>: single-choice drop-down list</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p>Label attribute type. The options are as follows:</p>
<ul><li><p><strong>text</strong>: text</p>
</li><li><p><strong>select</strong>: single-choice drop-down list</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.1 "><p>values</p>
@ -227,7 +241,15 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.6.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.6.2.5.1.4 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows: - <strong>bndbox</strong>: rectangle - <strong>polygon</strong>: polygon - <strong>circle</strong>: circle - <strong>line</strong>: straight line - <strong>dashed</strong>: dotted line - <strong>point</strong>: point - <strong>polyline</strong>: polyline</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.6.2.5.1.4 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows:</p>
<ul><li><p><strong>bndbox</strong>: rectangle</p>
</li><li><p><strong>polygon</strong>: polygon</p>
</li><li><p><strong>circle</strong>: circle</p>
</li><li><p><strong>line</strong>: straight line</p>
</li><li><p><strong>dashed</strong>: dotted line</p>
</li><li><p><strong>point</strong>: point</p>
</li><li><p><strong>polyline</strong>: polyline</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.6.2.5.1.1 "><p>@modelarts:from_type</p>
@ -305,7 +327,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows: - <strong>true</strong>: The operation is successful. - <strong>false</strong>: The operation is failed.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows:</p>
<ul><li><p><strong>true</strong>: The operation is successful.</p>
</li><li><p><strong>false</strong>: The operation is failed.</p>
</li></ul>
</td>
</tr>
</tbody>
@ -338,7 +363,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows: - <strong>true</strong>: The operation is successful. - <strong>false</strong>: The operation is failed.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows:</p>
<ul><li><p><strong>true</strong>: The operation is successful.</p>
</li><li><p><strong>false</strong>: The operation is failed.</p>
</li></ul>
</td>
</tr>
</tbody>
@ -398,7 +426,7 @@
</div>
<div>
<div class="familylinks">
<div class="parentlink"><strong>Parent topic:</strong> <a href="label_management.html">Label Management</a></div>
<div class="parentlink"><strong>Parent topic:</strong> <a href="topic_300000012.html">Label Management</a></div>
</div>
</div>

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<a name="CreateModelArtsAgency"></a><a name="CreateModelArtsAgency"></a>
<h1 class="topictitle1">Creating a ModelArts Agency</h1>
<div><div class="section"><h4 class="sectiontitle">Function</h4><p>This API is used to create an agency so that ModelArts can access dependent services such as OBS, SWR, and IEF.</p>
<div><div class="section"><h4 class="sectiontitle">Function</h4><p>This API is used to create a ModelArts agency for dependent services such as OBS, SWR, and IEF.</p>
</div>
<div class="section"><h4 class="sectiontitle">URI</h4><p>POST /v2/{project_id}/agency</p>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Path parameters</caption><thead align="left"><tr><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.2.3.2.5.1.1"><p>Parameter</p>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Path Parameters</caption><thead align="left"><tr><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.2.3.2.5.1.1"><p>Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.2.3.2.5.1.2"><p>Mandatory</p>
</th>

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@ -5,7 +5,7 @@
</div>
<div class="section"><h4 class="sectiontitle">URI</h4><p>DELETE /v2/{project_id}/authorizations</p>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Path parameters</caption><thead align="left"><tr><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.2.3.2.5.1.1"><p>Parameter</p>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Path Parameters</caption><thead align="left"><tr><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.2.3.2.5.1.1"><p>Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.2.3.2.5.1.2"><p>Mandatory</p>
</th>
@ -28,7 +28,7 @@
</table>
</div>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Query parameters</caption><thead align="left"><tr><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.2.4.2.5.1.1"><p>Parameter</p>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Query Parameters</caption><thead align="left"><tr><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.2.4.2.5.1.1"><p>Parameter</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.2.4.2.5.1.2"><p>Mandatory</p>
</th>
@ -44,7 +44,7 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.2.4.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>User ID. If this parameter is set to <strong>all</strong>, the authorization of all IAM users will be deleted.</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>User ID. If <strong>user_id</strong> is set to <strong>all-users</strong>, the authorization of all IAM users will be deleted.</p>
</td>
</tr>
</tbody>

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@ -62,7 +62,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.2.4.2.5.1.3 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>Whether to delete the sample source files. The options are as follows: - <strong>true</strong>: Delete the sample source files. - <strong>false</strong>: Do not delete the sample source files. (Default value)</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>Whether to delete the sample source files. The options are as follows:</p>
<ul><li><p><strong>true</strong>: Delete the sample source files.</p>
</li><li><p><strong>false</strong>: Do not delete the sample source files. (Default value)</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.2.4.2.5.1.1 "><p>label_type</p>
@ -71,7 +74,18 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.2.4.2.5.1.3 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>Label type. The options are as follows: - <strong>0</strong>: image classification - <strong>1</strong>: object detection - <strong>100</strong>: text classification - <strong>101</strong>: named entity recognition - <strong>102</strong>: text triplet relationship - <strong>103</strong>: text triplet entity - <strong>200</strong>: speech classification - <strong>201</strong>: speech content - <strong>202</strong>: speech paragraph labeling - <strong>600</strong>: video classification</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>Label type. The options are as follows:</p>
<ul><li><p><strong>0</strong>: image classification</p>
</li><li><p><strong>1</strong>: object detection</p>
</li><li><p><strong>100</strong>: text classification</p>
</li><li><p><strong>101</strong>: named entity recognition</p>
</li><li><p><strong>102</strong>: text triplet relationship</p>
</li><li><p><strong>103</strong>: text triplet entity</p>
</li><li><p><strong>200</strong>: speech classification</p>
</li><li><p><strong>201</strong>: speech content</p>
</li><li><p><strong>202</strong>: speech paragraph labeling</p>
</li><li><p><strong>600</strong>: video classification</p>
</li></ul>
</td>
</tr>
</tbody>
@ -108,7 +122,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows: - <strong>true</strong>: The operation is successful. - <strong>false</strong>: The operation is failed.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows:</p>
<ul><li><p><strong>true</strong>: The operation is successful.</p>
</li><li><p><strong>false</strong>: The operation is failed.</p>
</li></ul>
</td>
</tr>
</tbody>
@ -155,7 +172,7 @@
</div>
<div>
<div class="familylinks">
<div class="parentlink"><strong>Parent topic:</strong> <a href="label_management.html">Label Management</a></div>
<div class="parentlink"><strong>Parent topic:</strong> <a href="topic_300000012.html">Label Management</a></div>
</div>
</div>

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docs/modelarts/api-ref/DeleteLabels.html
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@ -53,7 +53,11 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.2.4.2.5.1.3 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>Whether to delete a label and samples containing the label. The options are as follows: - <strong>0</strong>: Delete the label. - <strong>1</strong>: Delete the label and the samples that only contain this label, but do not delete source files. - <strong>2</strong>: Delete the label and the samples that only contain this label and also delete source files.</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>Whether to delete a label and samples containing the label. The options are as follows:</p>
<ul><li><p><strong>0</strong>: Delete the label.</p>
</li><li><p><strong>1</strong>: Delete the label and the samples that only contain this label, but do not delete source files.</p>
</li><li><p><strong>2</strong>: Delete the label and the samples that only contain this label and also delete source files.</p>
</li></ul>
</td>
</tr>
</tbody>
@ -127,7 +131,18 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.3 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.3.2.5.1.4 "><p>Label type. The options are as follows: - <strong>0</strong>: image classification - <strong>1</strong>: object detection - <strong>100</strong>: text classification - <strong>101</strong>: named entity recognition - <strong>102</strong>: text triplet relationship - <strong>103</strong>: text triplet entity - <strong>200</strong>: speech classification - <strong>201</strong>: speech content - <strong>202</strong>: speech paragraph labeling - <strong>600</strong>: video classification</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.3.2.5.1.4 "><p>Label type. The options are as follows:</p>
<ul><li><p><strong>0</strong>: image classification</p>
</li><li><p><strong>1</strong>: object detection</p>
</li><li><p><strong>100</strong>: text classification</p>
</li><li><p><strong>101</strong>: named entity recognition</p>
</li><li><p><strong>102</strong>: text triplet relationship</p>
</li><li><p><strong>103</strong>: text triplet entity</p>
</li><li><p><strong>200</strong>: speech classification</p>
</li><li><p><strong>201</strong>: speech content</p>
</li><li><p><strong>202</strong>: speech paragraph labeling</p>
</li><li><p><strong>600</strong>: video classification</p>
</li></ul>
</td>
</tr>
</tbody>
@ -177,7 +192,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p>Label attribute type. The options are as follows: - <strong>text</strong>: text - <strong>select</strong>: single-choice drop-down list</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p>Label attribute type. The options are as follows:</p>
<ul><li><p><strong>text</strong>: text</p>
</li><li><p><strong>select</strong>: single-choice drop-down list</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.1 "><p>values</p>
@ -250,7 +268,15 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.6.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.6.2.5.1.4 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows: - <strong>bndbox</strong>: rectangle - <strong>polygon</strong>: polygon - <strong>circle</strong>: circle - <strong>line</strong>: straight line - <strong>dashed</strong>: dotted line - <strong>point</strong>: point - <strong>polyline</strong>: polyline</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.6.2.5.1.4 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows:</p>
<ul><li><p><strong>bndbox</strong>: rectangle</p>
</li><li><p><strong>polygon</strong>: polygon</p>
</li><li><p><strong>circle</strong>: circle</p>
</li><li><p><strong>line</strong>: straight line</p>
</li><li><p><strong>dashed</strong>: dotted line</p>
</li><li><p><strong>point</strong>: point</p>
</li><li><p><strong>polyline</strong>: polyline</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.6.2.5.1.1 "><p>@modelarts:from_type</p>
@ -328,7 +354,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows: - <strong>true</strong>: The operation is successful. - <strong>false</strong>: The operation is failed.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows:</p>
<ul><li><p><strong>true</strong>: The operation is successful.</p>
</li><li><p><strong>false</strong>: The operation is failed.</p>
</li></ul>
</td>
</tr>
</tbody>
@ -361,7 +390,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows: - <strong>true</strong>: The operation is successful. - <strong>false</strong>: The operation is failed.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows:</p>
<ul><li><p><strong>true</strong>: The operation is successful.</p>
</li><li><p><strong>false</strong>: The operation is failed.</p>
</li></ul>
</td>
</tr>
</tbody>
@ -417,7 +449,7 @@
</div>
<div>
<div class="familylinks">
<div class="parentlink"><strong>Parent topic:</strong> <a href="label_management.html">Label Management</a></div>
<div class="parentlink"><strong>Parent topic:</strong> <a href="topic_300000012.html">Label Management</a></div>
</div>
</div>

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@ -54,7 +54,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.3 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Whether to delete the source file. This field is valid for non-text datasets. (A text dataset is the entire text file. Therefore, deleting a piece of data from the text file does not affect the source text.) The options are as follows: - <strong>false</strong>: Do not delete the source file. (Default value) - <strong>true</strong>: Delete the source file. (Note: This operation may affect the dataset versions or other datasets that have used these files. As a result, the page display, training, or inference is abnormal.)</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Whether to delete the source file. This field is valid for non-text datasets. (A text dataset is the entire text file. Therefore, deleting a piece of data from the text file does not affect the source text.) The options are as follows:</p>
<ul><li><p><strong>false</strong>: Do not delete the source file. (Default value)</p>
</li><li><p><strong>true</strong>: Delete the source file. (Note: This operation may affect the dataset versions or other datasets that have used these files. As a result, the page display, training, or inference is abnormal.)</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.1 "><p>samples</p>
@ -105,7 +108,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows: - <strong>true</strong>: The operation is successful. - <strong>false</strong>: The operation is failed.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows:</p>
<ul><li><p><strong>true</strong>: The operation is successful.</p>
</li><li><p><strong>false</strong>: The operation is failed.</p>
</li></ul>
</td>
</tr>
</tbody>
@ -138,7 +144,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows: - <strong>true</strong>: The operation is successful. - <strong>false</strong>: The operation is failed.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows:</p>
<ul><li><p><strong>true</strong>: The operation is successful.</p>
</li><li><p><strong>false</strong>: The operation is failed.</p>
</li></ul>
</td>
</tr>
</tbody>

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</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>OBS path or <strong>manifest</strong> path to be imported. - When importing a manifest file, ensure that the path is accurate to the manifest file.- When a path is imported as a directory, the dataset type can only support image classification, object detection, text classification, or sound classification.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>OBS path or <strong>manifest</strong> path to be imported.</p>
<ul><li><p>When importing a manifest file, ensure that the path is accurate to the manifest file.</p>
</li><li><p>When a path is imported as a directory, the dataset type can only support image classification, object detection, text classification, or sound classification.</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.1 "><p>import_type</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.2 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Import mode. The options are as follows: - <strong>0</strong>: Import by directory. - <strong>1</strong>: Import by manifest file.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Import mode. The options are as follows:</p>
<ul><li><p><strong>0</strong>: Import by directory.</p>
</li><li><p><strong>1</strong>: Import by manifest file.</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.1 "><p>imported_sample_count</p>
@ -174,7 +180,14 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Status of an import task. The options are as follows: - <strong>QUEUING</strong>: queuing - <strong>STARTING</strong>: execution started - <strong>RUNNING</strong>: running - <strong>COMPLETED</strong>: completed - <strong>FAILED</strong>: failed - <strong>NOT_EXIST</strong>: not found</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Status of an import task. The options are as follows:</p>
<ul><li><p><strong>QUEUING</strong>: queuing</p>
</li><li><p><strong>STARTING</strong>: execution started</p>
</li><li><p><strong>RUNNING</strong>: running</p>
</li><li><p><strong>COMPLETED</strong>: completed</p>
</li><li><p><strong>FAILED</strong>: failed</p>
</li><li><p><strong>NOT_EXIST</strong>: not found</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.1 "><p>task_id</p>
@ -249,7 +262,15 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.2 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Data type. The options are as follows: - <strong>0</strong>: OBS bucket (default value) - <strong>1</strong>: GaussDB(DWS) - <strong>2</strong>: DLI - <strong>3</strong>: RDS - <strong>4</strong>: MRS - <strong>5</strong>: AI Gallery - <strong>6</strong>: Inference service</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Data type. The options are as follows:</p>
<ul><li><p><strong>0</strong>: OBS bucket (default value)</p>
</li><li><p><strong>1</strong>: GaussDB(DWS)</p>
</li><li><p><strong>2</strong>: DLI</p>
</li><li><p><strong>3</strong>: RDS</p>
</li><li><p><strong>4</strong>: MRS</p>
</li><li><p><strong>5</strong>: AI Gallery</p>
</li><li><p><strong>6</strong>: Inference service</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.1 "><p>schema_maps</p>
@ -270,7 +291,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Whether the first row in the file is a column name. This field is valid for the table dataset. The options are as follows: - <strong>true</strong>: The first row in the file is the column name. - <strong>false</strong>: The first row in the file is not the column name.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Whether the first row in the file is a column name. This field is valid for the table dataset. The options are as follows:</p>
<ul><li><p><strong>true</strong>: The first row in the file is the column name.</p>
</li><li><p><strong>false</strong>: The first row in the file is not the column name.</p>
</li></ul>
</td>
</tr>
</tbody>
@ -322,7 +346,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.6.2.4.1.3 "><p>Running mode of an MRS cluster. The options are as follows: - <strong>0</strong>: normal cluster - <strong>1</strong>: security cluster</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.6.2.4.1.3 "><p>Running mode of an MRS cluster. The options are as follows:</p>
<ul><li><p><strong>0</strong>: normal cluster</p>
</li><li><p><strong>1</strong>: security cluster</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.6.2.4.1.1 "><p>cluster_name</p>

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</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>OBS path or <strong>manifest</strong> path to be imported. - When importing a manifest file, ensure that the path is accurate to the manifest file.- When a path is imported as a directory, the dataset type can only support image classification, object detection, text classification, or sound classification.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>OBS path or <strong>manifest</strong> path to be imported.</p>
<ul><li><p>When importing a manifest file, ensure that the path is accurate to the manifest file.</p>
</li><li><p>When a path is imported as a directory, the dataset type can only support image classification, object detection, text classification, or sound classification.</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.1 "><p>import_type</p>
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.2 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Import mode. The options are as follows: - <strong>0</strong>: Import by directory. - <strong>1</strong>: Import by manifest file.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Import mode. The options are as follows:</p>
<ul><li><p><strong>0</strong>: Import by directory.</p>
</li><li><p><strong>1</strong>: Import by manifest file.</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.1 "><p>imported_sample_count</p>
@ -223,7 +229,14 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Status of an import task. The options are as follows: - <strong>QUEUING</strong>: queuing - <strong>STARTING</strong>: execution started - <strong>RUNNING</strong>: running - <strong>COMPLETED</strong>: completed - <strong>FAILED</strong>: failed - <strong>NOT_EXIST</strong>: not found</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Status of an import task. The options are as follows:</p>
<ul><li><p><strong>QUEUING</strong>: queuing</p>
</li><li><p><strong>STARTING</strong>: execution started</p>
</li><li><p><strong>RUNNING</strong>: running</p>
</li><li><p><strong>COMPLETED</strong>: completed</p>
</li><li><p><strong>FAILED</strong>: failed</p>
</li><li><p><strong>NOT_EXIST</strong>: not found</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.1 "><p>task_id</p>
@ -298,7 +311,15 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.4.1.2 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.5.2.4.1.3 "><p>Data type. The options are as follows: - <strong>0</strong>: OBS bucket (default value) - <strong>1</strong>: GaussDB(DWS) - <strong>2</strong>: DLI - <strong>3</strong>: RDS - <strong>4</strong>: MRS - <strong>5</strong>: AI Gallery - <strong>6</strong>: Inference service</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.5.2.4.1.3 "><p>Data type. The options are as follows:</p>
<ul><li><p><strong>0</strong>: OBS bucket (default value)</p>
</li><li><p><strong>1</strong>: GaussDB(DWS)</p>
</li><li><p><strong>2</strong>: DLI</p>
</li><li><p><strong>3</strong>: RDS</p>
</li><li><p><strong>4</strong>: MRS</p>
</li><li><p><strong>5</strong>: AI Gallery</p>
</li><li><p><strong>6</strong>: Inference service</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.4.1.1 "><p>schema_maps</p>
@ -319,7 +340,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.5.2.4.1.3 "><p>Whether the first row in the file is a column name. This field is valid for the table dataset. The options are as follows: - <strong>true</strong>: The first row in the file is the column name. - <strong>false</strong>: The first row in the file is not the column name.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.5.2.4.1.3 "><p>Whether the first row in the file is a column name. This field is valid for the table dataset. The options are as follows:</p>
<ul><li><p><strong>true</strong>: The first row in the file is the column name.</p>
</li><li><p><strong>false</strong>: The first row in the file is not the column name.</p>
</li></ul>
</td>
</tr>
</tbody>
@ -371,7 +395,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.7.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.7.2.4.1.3 "><p>Running mode of an MRS cluster. The options are as follows: - <strong>0</strong>: normal cluster - <strong>1</strong>: security cluster</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.7.2.4.1.3 "><p>Running mode of an MRS cluster. The options are as follows:</p>
<ul><li><p><strong>0</strong>: normal cluster</p>
</li><li><p><strong>1</strong>: security cluster</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.7.2.4.1.1 "><p>cluster_name</p>

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@ -116,7 +116,18 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.2 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Label type. The options are as follows: - <strong>0</strong>: image classification - <strong>1</strong>: object detection - <strong>100</strong>: text classification - <strong>101</strong>: named entity recognition - <strong>102</strong>: text triplet relationship - <strong>103</strong>: text triplet entity - <strong>200</strong>: speech classification - <strong>201</strong>: speech content - <strong>202</strong>: speech paragraph labeling - <strong>600</strong>: video classification</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Label type. The options are as follows:</p>
<ul><li><p><strong>0</strong>: image classification</p>
</li><li><p><strong>1</strong>: object detection</p>
</li><li><p><strong>100</strong>: text classification</p>
</li><li><p><strong>101</strong>: named entity recognition</p>
</li><li><p><strong>102</strong>: text triplet relationship</p>
</li><li><p><strong>103</strong>: text triplet entity</p>
</li><li><p><strong>200</strong>: speech classification</p>
</li><li><p><strong>201</strong>: speech content</p>
</li><li><p><strong>202</strong>: speech paragraph labeling</p>
</li><li><p><strong>600</strong>: video classification</p>
</li></ul>
</td>
</tr>
</tbody>
@ -156,7 +167,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.5.2.4.1.3 "><p>Label attribute type. The options are as follows: - <strong>text</strong>: text - <strong>select</strong>: single-choice drop-down list</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.5.2.4.1.3 "><p>Label attribute type. The options are as follows:</p>
<ul><li><p><strong>text</strong>: text</p>
</li><li><p><strong>select</strong>: single-choice drop-down list</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.4.1.1 "><p>values</p>
@ -215,7 +229,15 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.7.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.7.2.4.1.3 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows: - <strong>bndbox</strong>: rectangle - <strong>polygon</strong>: polygon - <strong>circle</strong>: circle - <strong>line</strong>: straight line - <strong>dashed</strong>: dotted line - <strong>point</strong>: point - <strong>polyline</strong>: polyline</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.7.2.4.1.3 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows:</p>
<ul><li><p><strong>bndbox</strong>: rectangle</p>
</li><li><p><strong>polygon</strong>: polygon</p>
</li><li><p><strong>circle</strong>: circle</p>
</li><li><p><strong>line</strong>: straight line</p>
</li><li><p><strong>dashed</strong>: dotted line</p>
</li><li><p><strong>point</strong>: point</p>
</li><li><p><strong>polyline</strong>: polyline</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.7.2.4.1.1 "><p>@modelarts:from_type</p>
@ -307,7 +329,7 @@
</div>
<div>
<div class="familylinks">
<div class="parentlink"><strong>Parent topic:</strong> <a href="label_management.html">Label Management</a></div>
<div class="parentlink"><strong>Parent topic:</strong> <a href="topic_300000012.html">Label Management</a></div>
</div>
</div>

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</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.2 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Label type. The options are as follows: - <strong>0</strong>: image classification - <strong>1</strong>: object detection - <strong>100</strong>: text classification - <strong>101</strong>: named entity recognition - <strong>102</strong>: text triplet relationship - <strong>103</strong>: text triplet entity - <strong>200</strong>: speech classification - <strong>201</strong>: speech content - <strong>202</strong>: speech paragraph labeling - <strong>600</strong>: video classification</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Label type. The options are as follows:</p>
<ul><li><p><strong>0</strong>: image classification</p>
</li><li><p><strong>1</strong>: object detection</p>
</li><li><p><strong>100</strong>: text classification</p>
</li><li><p><strong>101</strong>: named entity recognition</p>
</li><li><p><strong>102</strong>: text triplet relationship</p>
</li><li><p><strong>103</strong>: text triplet entity</p>
</li><li><p><strong>200</strong>: speech classification</p>
</li><li><p><strong>201</strong>: speech content</p>
</li><li><p><strong>202</strong>: speech paragraph labeling</p>
</li><li><p><strong>600</strong>: video classification</p>
</li></ul>
</td>
</tr>
</tbody>
@ -147,7 +158,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.5.2.4.1.3 "><p>Label attribute type. The options are as follows: - <strong>text</strong>: text - <strong>select</strong>: single-choice drop-down list</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.5.2.4.1.3 "><p>Label attribute type. The options are as follows:</p>
<ul><li><p><strong>text</strong>: text</p>
</li><li><p><strong>select</strong>: single-choice drop-down list</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.4.1.1 "><p>values</p>
@ -206,7 +220,15 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.7.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.7.2.4.1.3 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows: - <strong>bndbox</strong>: rectangle - <strong>polygon</strong>: polygon - <strong>circle</strong>: circle - <strong>line</strong>: straight line - <strong>dashed</strong>: dotted line - <strong>point</strong>: point - <strong>polyline</strong>: polyline</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.7.2.4.1.3 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows:</p>
<ul><li><p><strong>bndbox</strong>: rectangle</p>
</li><li><p><strong>polygon</strong>: polygon</p>
</li><li><p><strong>circle</strong>: circle</p>
</li><li><p><strong>line</strong>: straight line</p>
</li><li><p><strong>dashed</strong>: dotted line</p>
</li><li><p><strong>point</strong>: point</p>
</li><li><p><strong>polyline</strong>: polyline</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.7.2.4.1.1 "><p>@modelarts:from_type</p>

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</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.2.4.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>Language. The options are as follows: - <strong>zh-cn</strong>: Chinese - <strong>en-us</strong>: English (default value)</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>Language. The options are as follows:</p>
<ul><li><p><strong>zh-cn</strong>: Chinese</p>
</li><li><p><strong>en-us</strong>: English (default value)</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.2.4.2.5.1.1 "><p>sample_state</p>
@ -71,7 +74,21 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.2.4.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>Query statistics on samples in a specified state. The options are as follows: - <strong><strong>ALL</strong></strong>: labeled - <strong><strong>NONE</strong></strong>: unlabeled - <strong><strong>UNCHECK</strong></strong>: pending acceptance - <strong><strong>ACCEPTED</strong></strong>: accepted - <strong><strong>REJECTED</strong></strong>: rejected - <strong><strong>UNREVIEWED</strong></strong>: pending review - <strong><strong>REVIEWED</strong></strong>: reviewed - <strong><strong>WORKFORCE_SAMPLED</strong></strong>: sampled - <strong><strong>WORKFORCE_SAMPLED_UNCHECK</strong></strong>: sampling unchecked - <strong><strong>WORKFORCE_SAMPLED_CHECKED</strong></strong>: sampling checked - <strong><strong>WORKFORCE_SAMPLED_ACCEPTED</strong></strong>: sampling accepted - <strong><strong>WORKFORCE_SAMPLED_REJECTED</strong></strong>: sampling rejected - <strong><strong>AUTO_ANNOTATION</strong></strong>: to be confirmed</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>Query statistics on samples in a specified state. The options are as follows:</p>
<ul><li><p><strong><strong>ALL</strong></strong>: labeled</p>
</li><li><p><strong><strong>NONE</strong></strong>: unlabeled</p>
</li><li><p><strong><strong>UNCHECK</strong></strong>: pending acceptance</p>
</li><li><p><strong><strong>ACCEPTED</strong></strong>: accepted</p>
</li><li><p><strong><strong>REJECTED</strong></strong>: rejected</p>
</li><li><p><strong><strong>UNREVIEWED</strong></strong>: pending review</p>
</li><li><p><strong><strong>REVIEWED</strong></strong>: reviewed</p>
</li><li><p><strong><strong>WORKFORCE_SAMPLED</strong></strong>: sampled</p>
</li><li><p><strong><strong>WORKFORCE_SAMPLED_UNCHECK</strong></strong>: sampling unchecked</p>
</li><li><p><strong><strong>WORKFORCE_SAMPLED_CHECKED</strong></strong>: sampling checked</p>
</li><li><p><strong><strong>WORKFORCE_SAMPLED_ACCEPTED</strong></strong>: sampling accepted</p>
</li><li><p><strong><strong>WORKFORCE_SAMPLED_REJECTED</strong></strong>: sampling rejected</p>
</li><li><p><strong><strong>AUTO_ANNOTATION</strong></strong>: to be confirmed</p>
</li></ul>
</td>
</tr>
</tbody>
@ -101,7 +118,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Whether the dataset can be split into training set and validation set based on the sample labeling statistics. The options are as follows: - <strong>true</strong>: The dataset can be split into training set and validation set. - <strong>false</strong>: The dataset cannot be split into training set and validation set.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Whether the dataset can be split into training set and validation set based on the sample labeling statistics. The options are as follows:</p>
<ul><li><p><strong>true</strong>: The dataset can be split into training set and validation set.</p>
</li><li><p><strong>false</strong>: The dataset cannot be split into training set and validation set.</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.1 "><p>grouped_label_stats</p>
@ -197,7 +217,18 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.2 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Label type. The options are as follows: - <strong>0</strong>: image classification - <strong>1</strong>: object detection - <strong>100</strong>: text classification - <strong>101</strong>: named entity recognition - <strong>102</strong>: text triplet relationship - <strong>103</strong>: text triplet entity - <strong>200</strong>: speech classification - <strong>201</strong>: speech content - <strong>202</strong>: speech paragraph labeling - <strong>600</strong>: video classification</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Label type. The options are as follows:</p>
<ul><li><p><strong>0</strong>: image classification</p>
</li><li><p><strong>1</strong>: object detection</p>
</li><li><p><strong>100</strong>: text classification</p>
</li><li><p><strong>101</strong>: named entity recognition</p>
</li><li><p><strong>102</strong>: text triplet relationship</p>
</li><li><p><strong>103</strong>: text triplet entity</p>
</li><li><p><strong>200</strong>: speech classification</p>
</li><li><p><strong>201</strong>: speech content</p>
</li><li><p><strong>202</strong>: speech paragraph labeling</p>
</li><li><p><strong>600</strong>: video classification</p>
</li></ul>
</td>
</tr>
</tbody>
@ -223,7 +254,15 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.5.2.4.1.3 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows: - <strong>bndbox</strong>: rectangle - <strong>polygon</strong>: polygon - <strong>circle</strong>: circle - <strong>line</strong>: straight line - <strong>dashed</strong>: dotted line - <strong>point</strong>: point - <strong>polyline</strong>: polyline</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.5.2.4.1.3 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows:</p>
<ul><li><p><strong>bndbox</strong>: rectangle</p>
</li><li><p><strong>polygon</strong>: polygon</p>
</li><li><p><strong>circle</strong>: circle</p>
</li><li><p><strong>line</strong>: straight line</p>
</li><li><p><strong>dashed</strong>: dotted line</p>
</li><li><p><strong>point</strong>: point</p>
</li><li><p><strong>polyline</strong>: polyline</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.5.2.4.1.1 "><p>@modelarts:from_type</p>
@ -357,7 +396,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.8.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.8.2.4.1.3 "><p>Label attribute type. The options are as follows: - <strong>text</strong>: text - <strong>select</strong>: single-choice drop-down list</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.8.2.4.1.3 "><p>Label attribute type. The options are as follows:</p>
<ul><li><p><strong>text</strong>: text</p>
</li><li><p><strong>select</strong>: single-choice drop-down list</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.8.2.4.1.1 "><p>values</p>

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</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.2 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Status of a task. The options are as follows: - <strong>QUEUING</strong>: queuing - <strong>STARTING</strong>: execution started - <strong>RUNNING</strong>: running - <strong>COMPLETED</strong>: completed - <strong>FAILED</strong>: failed - <strong>NOT_EXIST</strong>: not found</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Status of a task. The options are as follows:</p>
<ul><li><p><strong>QUEUING</strong>: queuing</p>
</li><li><p><strong>STARTING</strong>: execution started</p>
</li><li><p><strong>RUNNING</strong>: running</p>
</li><li><p><strong>COMPLETED</strong>: completed</p>
</li><li><p><strong>FAILED</strong>: failed</p>
</li><li><p><strong>NOT_EXIST</strong>: not found</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.1 "><p>task_id</p>

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</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.3 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.3.2.5.1.4 "><p>Label type. The options are as follows: - <strong>0</strong>: image classification - <strong>1</strong>: object detection - <strong>100</strong>: text classification - <strong>101</strong>: named entity recognition - <strong>102</strong>: text triplet relationship - <strong>103</strong>: text triplet entity - <strong>200</strong>: speech classification - <strong>201</strong>: speech content - <strong>202</strong>: speech paragraph labeling - <strong>600</strong>: video classification</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.3.2.5.1.4 "><p>Label type. The options are as follows:</p>
<ul><li><p><strong>0</strong>: image classification</p>
</li><li><p><strong>1</strong>: object detection</p>
</li><li><p><strong>100</strong>: text classification</p>
</li><li><p><strong>101</strong>: named entity recognition</p>
</li><li><p><strong>102</strong>: text triplet relationship</p>
</li><li><p><strong>103</strong>: text triplet entity</p>
</li><li><p><strong>200</strong>: speech classification</p>
</li><li><p><strong>201</strong>: speech content</p>
</li><li><p><strong>202</strong>: speech paragraph labeling</p>
</li><li><p><strong>600</strong>: video classification</p>
</li></ul>
</td>
</tr>
</tbody>
@ -199,7 +210,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p>Label attribute type. The options are as follows: - <strong>text</strong>: text - <strong>select</strong>: single-choice drop-down list</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p>Label attribute type. The options are as follows:</p>
<ul><li><p><strong>text</strong>: text</p>
</li><li><p><strong>select</strong>: single-choice drop-down list</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.1 "><p>values</p>
@ -272,7 +286,15 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.6.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.6.2.5.1.4 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows: - <strong>bndbox</strong>: rectangle - <strong>polygon</strong>: polygon - <strong>circle</strong>: circle - <strong>line</strong>: straight line - <strong>dashed</strong>: dotted line - <strong>point</strong>: point - <strong>polyline</strong>: polyline</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.6.2.5.1.4 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows:</p>
<ul><li><p><strong>bndbox</strong>: rectangle</p>
</li><li><p><strong>polygon</strong>: polygon</p>
</li><li><p><strong>circle</strong>: circle</p>
</li><li><p><strong>line</strong>: straight line</p>
</li><li><p><strong>dashed</strong>: dotted line</p>
</li><li><p><strong>point</strong>: point</p>
</li><li><p><strong>polyline</strong>: polyline</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.6.2.5.1.1 "><p>@modelarts:from_type</p>

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</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.2.4.2.5.1.3 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>Label type. The options are as follows: - <strong>0</strong>: image classification - <strong>1</strong>: object detection - <strong>100</strong>: text classification - <strong>101</strong>: named entity recognition - <strong>102</strong>: text triplet relationship - <strong>103</strong>: text triplet entity - <strong>200</strong>: speech classification - <strong>201</strong>: speech content - <strong>202</strong>: speech paragraph labeling - <strong>600</strong>: video classification</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.2.4.2.5.1.4 "><p>Label type. The options are as follows:</p>
<ul><li><p><strong>0</strong>: image classification</p>
</li><li><p><strong>1</strong>: object detection</p>
</li><li><p><strong>100</strong>: text classification</p>
</li><li><p><strong>101</strong>: named entity recognition</p>
</li><li><p><strong>102</strong>: text triplet relationship</p>
</li><li><p><strong>103</strong>: text triplet entity</p>
</li><li><p><strong>200</strong>: speech classification</p>
</li><li><p><strong>201</strong>: speech content</p>
</li><li><p><strong>202</strong>: speech paragraph labeling</p>
</li><li><p><strong>600</strong>: video classification</p>
</li></ul>
</td>
</tr>
</tbody>
@ -95,7 +106,15 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows: - <strong>bndbox</strong>: rectangle - <strong>polygon</strong>: polygon - <strong>circle</strong>: circle - <strong>line</strong>: straight line - <strong>dashed</strong>: dotted line - <strong>point</strong>: point - <strong>polyline</strong>: polyline</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.2.2.5.1.4 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows:</p>
<ul><li><p><strong>bndbox</strong>: rectangle</p>
</li><li><p><strong>polygon</strong>: polygon</p>
</li><li><p><strong>circle</strong>: circle</p>
</li><li><p><strong>line</strong>: straight line</p>
</li><li><p><strong>dashed</strong>: dotted line</p>
</li><li><p><strong>point</strong>: point</p>
</li><li><p><strong>polyline</strong>: polyline</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.2.5.1.1 "><p>@modelarts:from_type</p>
@ -166,7 +185,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Whether the operation is successful. The options are as follows: - <strong>true</strong>: successful - <strong>false</strong>: failed</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Whether the operation is successful. The options are as follows:</p>
<ul><li><p><strong>true</strong>: successful</p>
</li><li><p><strong>false</strong>: failed</p>
</li></ul>
</td>
</tr>
</tbody>
@ -218,7 +240,7 @@
</div>
<div>
<div class="familylinks">
<div class="parentlink"><strong>Parent topic:</strong> <a href="label_management.html">Label Management</a></div>
<div class="parentlink"><strong>Parent topic:</strong> <a href="topic_300000012.html">Label Management</a></div>
</div>
</div>

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@ -104,7 +104,18 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.3.2.5.1.3 "><p>Integer</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.3.2.5.1.4 "><p>Label type. The options are as follows: - <strong>0</strong>: image classification - <strong>1</strong>: object detection - <strong>100</strong>: text classification - <strong>101</strong>: named entity recognition - <strong>102</strong>: text triplet relationship - <strong>103</strong>: text triplet entity - <strong>200</strong>: speech classification - <strong>201</strong>: speech content - <strong>202</strong>: speech paragraph labeling - <strong>600</strong>: video classification</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.3.2.5.1.4 "><p>Label type. The options are as follows:</p>
<ul><li><p><strong>0</strong>: image classification</p>
</li><li><p><strong>1</strong>: object detection</p>
</li><li><p><strong>100</strong>: text classification</p>
</li><li><p><strong>101</strong>: named entity recognition</p>
</li><li><p><strong>102</strong>: text triplet relationship</p>
</li><li><p><strong>103</strong>: text triplet entity</p>
</li><li><p><strong>200</strong>: speech classification</p>
</li><li><p><strong>201</strong>: speech content</p>
</li><li><p><strong>202</strong>: speech paragraph labeling</p>
</li><li><p><strong>600</strong>: video classification</p>
</li></ul>
</td>
</tr>
</tbody>
@ -154,7 +165,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p>Label attribute type. The options are as follows: - <strong>text</strong>: text - <strong>select</strong>: single-choice drop-down list</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.4.2.5.1.4 "><p>Label attribute type. The options are as follows:</p>
<ul><li><p><strong>text</strong>: text</p>
</li><li><p><strong>select</strong>: single-choice drop-down list</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.4.2.5.1.1 "><p>values</p>
@ -227,7 +241,15 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.6.2.5.1.3 "><p>String</p>
</td>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.6.2.5.1.4 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows: - <strong>bndbox</strong>: rectangle - <strong>polygon</strong>: polygon - <strong>circle</strong>: circle - <strong>line</strong>: straight line - <strong>dashed</strong>: dotted line - <strong>point</strong>: point - <strong>polyline</strong>: polyline</p>
<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.3.6.2.5.1.4 "><p>Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. The options are as follows:</p>
<ul><li><p><strong>bndbox</strong>: rectangle</p>
</li><li><p><strong>polygon</strong>: polygon</p>
</li><li><p><strong>circle</strong>: circle</p>
</li><li><p><strong>line</strong>: straight line</p>
</li><li><p><strong>dashed</strong>: dotted line</p>
</li><li><p><strong>point</strong>: point</p>
</li><li><p><strong>polyline</strong>: polyline</p>
</li></ul>
</td>
</tr>
<tr><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.6.2.5.1.1 "><p>@modelarts:from_type</p>
@ -305,7 +327,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.3.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Whether the operation is successful. The options are as follows: - <strong>true</strong>: successful - <strong>false</strong>: failed</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.3.2.4.1.3 "><p>Whether the operation is successful. The options are as follows:</p>
<ul><li><p><strong>true</strong>: successful</p>
</li><li><p><strong>false</strong>: failed</p>
</li></ul>
</td>
</tr>
</tbody>
@ -338,7 +363,10 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.4.2.4.1.2 "><p>Boolean</p>
</td>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows: - <strong>true</strong>: The operation is successful. - <strong>false</strong>: The operation is failed.</p>
<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.4.4.2.4.1.3 "><p>Check whether the operation is successful. The options are as follows:</p>
<ul><li><p><strong>true</strong>: The operation is successful.</p>
</li><li><p><strong>false</strong>: The operation is failed.</p>
</li></ul>
</td>
</tr>
</tbody>
@ -398,7 +426,7 @@
</div>
<div>
<div class="familylinks">
<div class="parentlink"><strong>Parent topic:</strong> <a href="label_management.html">Label Management</a></div>
<div class="parentlink"><strong>Parent topic:</strong> <a href="topic_300000012.html">Label Management</a></div>
</div>
</div>

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</li>
<li class="ulchildlink"><strong><a href="GetDatasetMetrics.html">Querying the Monitoring Data of a Dataset</a></strong><br>
</li>
<li class="ulchildlink"><strong><a href="ListWorkforceTaskStats.html">Querying Details About Team Labeling Task Statistics</a></strong><br>
</li>
<li class="ulchildlink"><strong><a href="GetWorkforceTaskMetrics.html">Querying Details About the Progress of a Team Labeling Task Member</a></strong><br>
</li>
</ul>
<div class="familylinks">

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<a name="modelarts_03_0001"></a><a name="modelarts_03_0001"></a>
<h1 class="topictitle1">Overview</h1>
<div id="en-us_topic_0171316288_body1558603491285"><p id="modelarts_03_0001__en-us_topic_0171316288_en-us_topic_0170640573_en-us_topic_0170093943_p14359124953115"></p>
<div id="en-us_topic_0171316288_body1558603491285"><p id="modelarts_03_0001__en-us_topic_0171316288_en-us_topic_0170640573_en-us_topic_0170093943_p14359124953115">ModelArts is a one-stop AI development platform geared toward developers and data scientists of all skill levels. It enables you to rapidly build, train, and deploy models anywhere (from the cloud to the edge), and manage full-lifecycle AI workflows. ModelArts accelerates AI development and fosters AI innovation with key capabilities, including data preprocessing and auto labeling, distributed training, automated model building, and one-click workflow execution. You can use ModelArts through open APIs.</p>
<p id="modelarts_03_0001__en-us_topic_0171316288_p138216199216">Before calling a ModelArts API, ensure that you have fully understood the concepts related to ModelArts. For details, see the <a href="https://docs.otc.t-systems.com/en-us/usermanual/modelarts/modelarts_01_0001.html" target="_blank" rel="noopener noreferrer">Service Overview</a>.</p>
</div>
<div>

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</tr>
<tr id="modelarts_03_0002__en-us_topic_0129435564_row085482663316"><td class="cellrowborder" valign="top" width="36%" headers="mcps1.3.8.2.2.3.1.1 "><p id="modelarts_03_0002__en-us_topic_0129435564_p1854102612337"><a href="CreateAuthorization.html">Configuring Authorization</a></p>
</td>
<td class="cellrowborder" valign="top" width="64%" headers="mcps1.3.8.2.2.3.1.2 "><p id="modelarts_03_0002__en-us_topic_0129435564_p147404345341">Configure ModelArts authorization. ModelArts functions such as training management, development environment, data management, and real-time services can be properly used only after required permissions are assigned.</p>
<td class="cellrowborder" valign="top" width="64%" headers="mcps1.3.8.2.2.3.1.2 "><p id="modelarts_03_0002__en-us_topic_0129435564_p147404345341">Configure ModelArts authorization. ModelArts functions such as real-time services can be properly used only after required permissions are assigned.</p>
</td>
</tr>
<tr id="modelarts_03_0002__en-us_topic_0129435564_row178541626143311"><td class="cellrowborder" valign="top" width="36%" headers="mcps1.3.8.2.2.3.1.1 "><p id="modelarts_03_0002__en-us_topic_0129435564_p285402613310"><a href="DeleteAuthorizations.html">Deleting Authorization</a></p>

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@ -47,7 +47,7 @@ Content-Type: application/json
<p id="modelarts_03_0004__en-us_topic_0129435566_p19866332181318">Obtain the API Gateway signing SDK from the enterprise administrator.</p>
<p id="modelarts_03_0004__en-us_topic_0129435566_p146941947123310">Decompress the downloaded package and reference the obtained JAR files as dependencies, as highlighted in the following figure.</p>
<p id="modelarts_03_0004__en-us_topic_0129435566_p12389340338"><span><img id="modelarts_03_0004__en-us_topic_0129435566_image12154257173317" src="en-us_image_0000001209615816.gif"></span></p>
<ol id="modelarts_03_0004__en-us_topic_0129435566_en-us_topic_0094388456_ol11139503184055"><li id="modelarts_03_0004__en-us_topic_0129435566_en-us_topic_0094388456_li33146668184055"><span>Generate an AK/SK. (If an AK/SK file has already been obtained, skip this step and locate the downloaded AK/SK file. Generally, the file name will be <strong id="modelarts_03_0004__en-us_topic_0129435566_b104721755202315">credentials.csv</strong>.)</span><p><ol type="a" id="modelarts_03_0004__ol527210192713"><li id="modelarts_03_0004__li206391249162717">Log in to the console, enter the <strong id="modelarts_03_0004__b202070308417">My Credentials</strong> page, and choose <strong id="modelarts_03_0004__b7208123016417">Access Keys</strong> &gt; <strong id="modelarts_03_0004__b102084303419">Create Access Key</strong>.</li><li id="modelarts_03_0004__li727212120279">In the <span class="wintitle" id="modelarts_03_0004__wintitle153673654211"><b>Create Access Key</b></span> dialog box that is displayed, use the login password for verification.</li><li id="modelarts_03_0004__li6272913275">Click <strong id="modelarts_03_0004__b16018498427">OK</strong>, open the <strong id="modelarts_03_0004__b86094914425">credentials.csv</strong> file, and save the key file as prompted. The access key file is saved in the default downloads folder of the browser. Then, the access key (<strong id="modelarts_03_0004__b2219107154314">Access Key Id</strong> and <strong id="modelarts_03_0004__b221927164310">Secret Access Key</strong>) is obtained.</li></ol>
<ol id="modelarts_03_0004__en-us_topic_0129435566_en-us_topic_0094388456_ol11139503184055"><li id="modelarts_03_0004__en-us_topic_0129435566_en-us_topic_0094388456_li33146668184055"><span>Generate an AK/SK. (If an AK/SK file has already been obtained, skip this step and locate the downloaded AK/SK file. Generally, the file name will be <strong id="modelarts_03_0004__en-us_topic_0129435566_b104721755202315">credentials.csv</strong>.)</span><p><ol type="a" id="modelarts_03_0004__ol193132193414"><li id="modelarts_03_0004__li83732143415">Log in to the console, enter the <strong id="modelarts_03_0004__b13143293410">My Credentials</strong> page, and choose <strong id="modelarts_03_0004__b12363213348">Access Keys</strong> &gt; <strong id="modelarts_03_0004__b133143293410">Create Access Key</strong>.</li><li id="modelarts_03_0004__li1039320343">In the <span class="wintitle" id="modelarts_03_0004__wintitle1331232153415"><b>Create Access Key</b></span> dialog box that is displayed, use the login password for verification.</li><li id="modelarts_03_0004__li13113214345">Click <strong id="modelarts_03_0004__b1030328344">OK</strong>, open the <strong id="modelarts_03_0004__b43193273413">credentials.csv</strong> file, and save the key file as prompted. The access key file is saved in the default downloads folder of the browser. Then, the access key (<strong id="modelarts_03_0004__b831432133415">Access Key Id</strong> and <strong id="modelarts_03_0004__b193193213344">Secret Access Key</strong>) is obtained.</li></ol>
</p></li><li id="modelarts_03_0004__en-us_topic_0129435566_li157891312153613"><span>Download and decompress the demo project.</span></li><li id="modelarts_03_0004__en-us_topic_0129435566_li94791126103617"><a name="modelarts_03_0004__en-us_topic_0129435566_li94791126103617"></a><a name="en-us_topic_0129435566_li94791126103617"></a><span>Import the demo project to Eclipse.</span><p><div class="fignone" id="modelarts_03_0004__en-us_topic_0129435566_fig10881944183710"><span class="figcap"><b>Figure 1 </b>Selecting Existing Projects into Workspace</span><br><span><img id="modelarts_03_0004__en-us_topic_0129435566_image1269313653714" src="en-us_image_0000001209775802.gif"></span></div>
<div class="fignone" id="modelarts_03_0004__en-us_topic_0129435566_fig15961458113717"><span class="figcap"><b>Figure 2 </b>Selecting the demo project</span><br><span><img id="modelarts_03_0004__en-us_topic_0129435566_image2701239376" src="en-us_image_0000001254535753.gif"></span></div>
<div class="fignone" id="modelarts_03_0004__en-us_topic_0129435566_fig74501929113815"><span class="figcap"><b>Figure 3 </b>Structure of the demo project</span><br><span><img id="modelarts_03_0004__en-us_topic_0129435566_image16819131113720" src="en-us_image_0000001254215795.gif"></span></div>

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@ -35,8 +35,7 @@
</table>
</div>
<p id="modelarts_03_0005__en-us_topic_0129435569_p1512913502578">For example, to obtain an IAM token in a region, obtain the endpoint of IAM for this region and the <strong id="modelarts_03_0005__en-us_topic_0129435569_b135501211753">resource-path</strong> (<strong id="modelarts_03_0005__en-us_topic_0129435569_b1955518115512">/v3/auth/tokens</strong>) in the URI of the API used to obtain a user token. Then, construct the URI as follows:</p>
<pre class="screen" id="modelarts_03_0005__en-us_topic_0129435569_en-us_topic_0170917207_en-us_topic_0168405763_screen1553450193818">
https://<em id="modelarts_03_0005__i19573103114352">{iam-endpoint}</em>/v3/auth/tokens</pre>
<pre class="screen" id="modelarts_03_0005__en-us_topic_0129435569_en-us_topic_0170917207_en-us_topic_0168405763_screen1553450193818">https://<em id="modelarts_03_0005__i19573103114352">{iam-endpoint}</em>/v3/auth/tokens</pre>
<div class="note" id="modelarts_03_0005__en-us_topic_0129435569_en-us_topic_0170917207_en-us_topic_0168405763_note16311253154112"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="modelarts_03_0005__en-us_topic_0129435569_en-us_topic_0170917207_en-us_topic_0168405763_p163316534416">To simplify the URI display in this document, each API is provided only with a <strong id="modelarts_03_0005__en-us_topic_0129435569_b53571353114718">resource-path</strong> and a request method. The <strong id="modelarts_03_0005__en-us_topic_0129435569_b1665051074813">URI-scheme</strong> of all APIs is <strong id="modelarts_03_0005__en-us_topic_0129435569_b12318131618481">HTTPS</strong>, and the endpoints of all APIs in the same region are identical.</p>
</div></div>
</div>
@ -183,8 +182,7 @@ Content-Type: application/json</pre>
<p id="modelarts_03_0005__en-us_topic_0129435569_p959661302018">If an API is used to obtain a user token, the request parameters and parameter description can be obtained from the API request. The following provides an example request with a body included. Replace <em id="modelarts_03_0005__en-us_topic_0129435569_i6596113112011">user_name</em>, <em id="modelarts_03_0005__en-us_topic_0129435569_i1597171319201">domain_name</em>, and <em id="modelarts_03_0005__en-us_topic_0129435569_i794603122614">user_password</em> with the actual username, account name, and login password, respectively. <strong id="modelarts_03_0005__en-us_topic_0129435569_b18458958132612"><em id="modelarts_03_0005__en-us_topic_0129435569_i2061215426411">project_name</em></strong> is the project name. For details, see <a href="modelarts_03_0006.html">Obtaining a Username and ID</a>, <a href="modelarts_03_0148.html">Obtaining an Account Name and ID</a>, and <a href="modelarts_03_0147.html">Obtaining a Project ID</a>.</p>
<div class="note" id="modelarts_03_0005__en-us_topic_0129435569_note1350402418201"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="modelarts_03_0005__en-us_topic_0129435569_p77561625162017">The <strong id="modelarts_03_0005__en-us_topic_0129435569_b574016447218">scope</strong> parameter specifies where a token takes effect. In the example, the token takes effect only for the resources in a specified project. ModelArts uses a region-specific endpoint to call this API. Set <strong id="modelarts_03_0005__en-us_topic_0129435569_b778018496420">scope</strong> to <strong id="modelarts_03_0005__en-us_topic_0129435569_b66121354134216">project</strong>. You can set <strong id="modelarts_03_0005__en-us_topic_0129435569_b18747185911421">scope</strong> to an account or a project under an account. In the following example, the token takes effect only for the resources in a specified project. For more information about this API, see "Obtaining a User Token".</p>
</div></div>
<pre class="screen" id="modelarts_03_0005__en-us_topic_0129435569_screen1930315611554">
POST https://<em id="modelarts_03_0005__i17401010472">{iam-endpoint}</em>/v3/auth/tokens
<pre class="screen" id="modelarts_03_0005__en-us_topic_0129435569_screen1930315611554">POST https://<em id="modelarts_03_0005__i17401010472">{iam-endpoint}</em>/v3/auth/tokens
Content-Type:application/json
{
"auth": {

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@ -543,7 +543,7 @@
</tbody>
</table>
</div>
<div class="section" id="modelarts_03_0045__en-us_topic_0131062889_section54078976"><h4 class="sectiontitle">Samples</h4><ol id="modelarts_03_0045__en-us_topic_0131062889_ol1085215193224"><li id="modelarts_03_0045__en-us_topic_0131062889_li5852219202214">The following shows how to create training job <span class="parmvalue" id="modelarts_03_0045__en-us_topic_0131062889_parmvalue151320465544"><b>TestModelArtsJob</b></span> with <span class="parmvalue" id="modelarts_03_0045__en-us_topic_0131062889_parmvalue1546524112548"><b>This is a ModelArts job</b></span> as its description.<ul id="modelarts_03_0045__en-us_topic_0131062889_ul865811485616"><li id="modelarts_03_0045__en-us_topic_0131062889_li10001026">Sample request<pre class="screen" id="modelarts_03_0045__en-us_topic_0131062889_screen18701105115410">POST https://endpoint/v1/{project_id}/training-jobs
<div class="section" id="modelarts_03_0045__en-us_topic_0131062889_section54078976"><h4 class="sectiontitle">Samples</h4><ul id="modelarts_03_0045__ul3479637172916"><li id="modelarts_03_0045__li154801337112911">Sample request<ol id="modelarts_03_0045__en-us_topic_0131062889_ol1085215193224"><li id="modelarts_03_0045__en-us_topic_0131062889_li5852219202214">The following shows how to create training job <span class="parmvalue" id="modelarts_03_0045__en-us_topic_0131062889_parmvalue151320465544"><b>TestModelArtsJob</b></span> with <span class="parmvalue" id="modelarts_03_0045__en-us_topic_0131062889_parmvalue1546524112548"><b>This is a ModelArts job</b></span> as its description.<pre class="screen" id="modelarts_03_0045__en-us_topic_0131062889_screen18701105115410">POST https://endpoint/v1/{project_id}/training-jobs
{
"job_name": "TestModelArtsJob",
"job_desc": "This is a ModelArts job",
@ -570,10 +570,7 @@
"log_url": "/usr/log/"
}
}</pre>
</li></ul>
</li><li id="modelarts_03_0045__en-us_topic_0131062889_li4564755184615">The following shows how to create training job <span class="parmvalue" id="modelarts_03_0045__en-us_topic_0131062889_parmvalue1412417129474"><b>TestModelArtsJob2</b></span> with a custom image.</li></ol>
</div>
<ul id="modelarts_03_0045__en-us_topic_0131062889_ul356101195113"><li id="modelarts_03_0045__en-us_topic_0131062889_li155644111513">Sample request<pre class="screen" id="modelarts_03_0045__en-us_topic_0131062889_screen12816943105516">POST https://endpoint/v1/{project_id}/training-jobs
</li><li id="modelarts_03_0045__en-us_topic_0131062889_li4564755184615">The following shows how to create training job <span class="parmvalue" id="modelarts_03_0045__en-us_topic_0131062889_parmvalue1412417129474"><b>TestModelArtsJob2</b></span> with a custom image.<pre class="screen" id="modelarts_03_0045__en-us_topic_0131062889_screen12816943105516">POST https://endpoint/v1/{project_id}/training-jobs
{
"job_name": "TestModelArtsJob2",
"job_desc": "This is a ModelArts job",
@ -595,9 +592,7 @@
"log_url": "/usr/log/"
}
}</pre>
</li></ul>
<p id="modelarts_03_0045__en-us_topic_0131062889_p5654125110172">3. The following shows how to create training job <span class="parmvalue" id="modelarts_03_0045__en-us_topic_0131062889_parmvalue76540514171"><b>TestModelArtsJob3</b></span> using a storage volume.</p>
<ul id="modelarts_03_0045__en-us_topic_0131062889_ul19182192501813"><li id="modelarts_03_0045__en-us_topic_0131062889_li11182152511183">Sample request<pre class="screen" id="modelarts_03_0045__en-us_topic_0131062889_screen191828252181">POST https://endpoint/v1/{project_id}/training-jobs
</li><li id="modelarts_03_0045__li0431105114312">The following shows how to create training job <span class="parmvalue" id="modelarts_03_0045__en-us_topic_0131062889_parmvalue76540514171"><b>TestModelArtsJob3</b></span> using a storage volume.<pre class="screen" id="modelarts_03_0045__en-us_topic_0131062889_screen191828252181">POST https://endpoint/v1/{project_id}/training-jobs
{
"job_name": "TestModelArtsJob3",
"job_desc": "This is a ModelArts job",
@ -641,7 +636,9 @@
]
}
}</pre>
</li></ol>
</li></ul>
</div>
<ul id="modelarts_03_0045__en-us_topic_0131062889_ul13299638608"><li id="modelarts_03_0045__en-us_topic_0131062889_li43005381906">Successful sample response<pre class="screen" id="modelarts_03_0045__en-us_topic_0131062889_screen836425712552">{
"is_success": true,
"job_id": "10",

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@ -111,7 +111,8 @@
</td>
<td class="cellrowborder" valign="top" width="17.82178217821782%" headers="mcps1.3.4.2.2.2.4.1.2 "><p id="modelarts_03_0047__en-us_topic_0131145862_p1516145541411">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="58.415841584158414%" headers="mcps1.3.4.2.2.2.4.1.3 "><p id="modelarts_03_0047__en-us_topic_0131145862_en-us_topic_0170904391_p154301418169">Engine type of a training job. The mapping between <span class="parmvalue" id="modelarts_03_0047__en-us_topic_0131145862_parmvalue162981292514"><b>engine_type</b></span> and <span class="parmvalue" id="modelarts_03_0047__en-us_topic_0131145862_parmvalue8393624172510"><b>engine_name</b></span> is as follows: <strong id="modelarts_03_0047__en-us_topic_0131145862_b10275181910513">engine_type</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b1510012316512">13</strong>, <strong id="modelarts_03_0047__en-us_topic_0131145862_b136224254520">engine_name</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b92631132656">Ascend-Powered-Engine</strong></p>
<td class="cellrowborder" valign="top" width="58.415841584158414%" headers="mcps1.3.4.2.2.2.4.1.3 "><p id="modelarts_03_0047__en-us_topic_0131145862_en-us_topic_0170904391_p154301418169">Engine type of a training job. The mapping between <span class="parmvalue" id="modelarts_03_0047__en-us_topic_0131145862_parmvalue162981292514"><b>engine_type</b></span> and <span class="parmvalue" id="modelarts_03_0047__en-us_topic_0131145862_parmvalue8393624172510"><b>engine_name</b></span> is as follows: </p>
<ul id="modelarts_03_0047__en-us_topic_0131145862_ul158251407252"><li id="modelarts_03_0047__en-us_topic_0131145862_li42840234269"><strong id="modelarts_03_0047__en-us_topic_0131145862_b85004217516">engine_type</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b10505152185119">1</strong>, <strong id="modelarts_03_0047__en-us_topic_0131145862_b45055213511">engine_name</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b115065210519">TensorFlow</strong></li><li id="modelarts_03_0047__en-us_topic_0131145862_li338694562615"><strong id="modelarts_03_0047__en-us_topic_0131145862_b723211125117">engine_type</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b1228511135111">2</strong>, <strong id="modelarts_03_0047__en-us_topic_0131145862_b1628151117516">engine_name</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b20281811155115">MXNet</strong></li><li id="modelarts_03_0047__en-us_topic_0131145862_li15110544266"><strong id="modelarts_03_0047__en-us_topic_0131145862_b13781712165120">engine_type</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b20378912145114">3</strong>, <strong id="modelarts_03_0047__en-us_topic_0131145862_b17379191210514">engine_name</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b73796128518">Ray</strong></li><li id="modelarts_03_0047__en-us_topic_0131145862_li2896109279"><strong id="modelarts_03_0047__en-us_topic_0131145862_b1137481355111">engine_type</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b1537461385112">4</strong>, <strong id="modelarts_03_0047__en-us_topic_0131145862_b133744134519">engine_name</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b3375171316515">Caffe</strong></li><li id="modelarts_03_0047__en-us_topic_0131145862_li992614720276"><strong id="modelarts_03_0047__en-us_topic_0131145862_b7580151420511">engine_type</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b1658011415516">5</strong>, <strong id="modelarts_03_0047__en-us_topic_0131145862_b558015147513">engine_name</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b7581131415118">Spark_MLlib</strong></li><li id="modelarts_03_0047__en-us_topic_0131145862_li8825540172516"><strong id="modelarts_03_0047__en-us_topic_0131145862_b1022331511511">engine_type</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b1822301513517">9</strong>, <strong id="modelarts_03_0047__en-us_topic_0131145862_b172231815165110">engine_name</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b2022491595119">XGBoost-Sklearn</strong></li><li id="modelarts_03_0047__en-us_topic_0131145862_li3760111518273"><strong id="modelarts_03_0047__en-us_topic_0131145862_b1782561505115">engine_type</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b18825191515110">10</strong>, <strong id="modelarts_03_0047__en-us_topic_0131145862_b10826151585118">engine_name</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b14826161518512">PyTorch</strong></li><li id="modelarts_03_0047__en-us_topic_0131145862_li1971511711270"><strong id="modelarts_03_0047__en-us_topic_0131145862_b175497161519">engine_type</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b185501816175112">12</strong>, <strong id="modelarts_03_0047__en-us_topic_0131145862_b15500161511">engine_name</strong>: <strong id="modelarts_03_0047__en-us_topic_0131145862_b3550161611518">Horovod</strong></li></ul>
</td>
</tr>
<tr id="modelarts_03_0047__en-us_topic_0131145862_row76761655131413"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.2.4.1.1 "><p id="modelarts_03_0047__en-us_topic_0131145862_p9676205571419">engine_name</p>
@ -119,7 +120,7 @@
<td class="cellrowborder" valign="top" width="17.82178217821782%" headers="mcps1.3.4.2.2.2.4.1.2 "><p id="modelarts_03_0047__en-us_topic_0131145862_p2067675510143">String</p>
</td>
<td class="cellrowborder" valign="top" width="58.415841584158414%" headers="mcps1.3.4.2.2.2.4.1.3 "><p id="modelarts_03_0047__en-us_topic_0131145862_en-us_topic_0170904391_p19543014141617">Name of the engine selected for a training job. Currently, the following engines are supported:</p>
<ul id="modelarts_03_0047__en-us_topic_0131145862_ul5141041162112"><li id="modelarts_03_0047__en-us_topic_0131145862_li1514341122111">Ascend-Powered-Engine</li><li id="modelarts_03_0047__en-us_topic_0131145862_li51514142112">PyTorch</li><li id="modelarts_03_0047__en-us_topic_0131145862_li5151041112118">Spark_MLlib</li><li id="modelarts_03_0047__en-us_topic_0131145862_li3915829162213">Scikit_Learn</li><li id="modelarts_03_0047__en-us_topic_0131145862_li101584113212">TensorFlow</li><li id="modelarts_03_0047__en-us_topic_0131145862_li141512413211">XGBoost-Sklearn</li><li id="modelarts_03_0047__en-us_topic_0131145862_li5826358224">MindSpore-GPU</li></ul>
<ul id="modelarts_03_0047__en-us_topic_0131145862_ul5141041162112"><li id="modelarts_03_0047__en-us_topic_0131145862_li1514341122111">TensorFlow</li><li id="modelarts_03_0047__en-us_topic_0131145862_li51514142112">MXNet</li><li id="modelarts_03_0047__en-us_topic_0131145862_li5151041112118">Ray</li><li id="modelarts_03_0047__en-us_topic_0131145862_li3915829162213">Caffe</li><li id="modelarts_03_0047__en-us_topic_0131145862_li101584113212">Spark_MLlib</li><li id="modelarts_03_0047__en-us_topic_0131145862_li141512413211">XGBoost-Sklearn</li><li id="modelarts_03_0047__en-us_topic_0131145862_li5826358224">PyTorch</li><li id="modelarts_03_0047__li208271263410">Horovod</li></ul>
</td>
</tr>
<tr id="modelarts_03_0047__en-us_topic_0131145862_row1830125617159"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.2.4.1.1 "><p id="modelarts_03_0047__en-us_topic_0131145862_p1330185681516">engine_id</p>
@ -781,7 +782,7 @@
"version_id": 10,
"version_name": "jobVersion",
"pre_version_id": 5,
"engine_type": ,
"engine_type": 1,
"engine_name": "TensorFlow",
"engine_id": 1,
"engine_version": "TF-1.4.0-python2.7",

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@ -318,7 +318,7 @@
</div>
</div>
</div>
<div class="section" id="modelarts_03_0058__en-us_topic_0131292962_section049897173115"><h4 class="sectiontitle">Samples</h4><ol id="modelarts_03_0058__en-us_topic_0131292962_ol191819141027"><li id="modelarts_03_0058__en-us_topic_0131292962_li3918161410213">The following shows how to create a training job configuration whose name is <span class="parmvalue" id="modelarts_03_0058__en-us_topic_0131292962_parmvalue169651853429"><b>testConfig</b></span> and description is <span class="parmvalue" id="modelarts_03_0058__en-us_topic_0131292962_parmvalue19655531723"><b>This is config</b></span>.<ul id="modelarts_03_0058__en-us_topic_0131292962_ul13841111603118"><li id="modelarts_03_0058__en-us_topic_0131292962_li5842416123120">Sample request<pre class="screen" id="modelarts_03_0058__en-us_topic_0131292962_screen147711125527">POST https://endpoint/v1/{project_id}/training-job-configs
<div class="section" id="modelarts_03_0058__en-us_topic_0131292962_section049897173115"><h4 class="sectiontitle">Samples</h4><div class="p" id="modelarts_03_0058__p18830123215286">The following shows how to create a training job configuration whose name is <span class="parmvalue" id="modelarts_03_0058__en-us_topic_0131292962_parmvalue169651853429"><b>testConfig</b></span> and description is <span class="parmvalue" id="modelarts_03_0058__en-us_topic_0131292962_parmvalue19655531723"><b>This is config</b></span>.<ul id="modelarts_03_0058__en-us_topic_0131292962_ul13841111603118"><li id="modelarts_03_0058__en-us_topic_0131292962_li5842416123120">Sample request<pre class="screen" id="modelarts_03_0058__en-us_topic_0131292962_screen147711125527">POST https://endpoint/v1/{project_id}/training-job-configs
{
"config_name": "testConfig",
"config_desc": "This is config",
@ -343,7 +343,7 @@
"log_url": "/usr/log/"
}</pre>
</li></ul>
</li></ol>
</div>
</div>
<ul id="modelarts_03_0058__en-us_topic_0131292962_ul61564846"><li id="modelarts_03_0058__en-us_topic_0131292962_li17212704">Successful sample response<pre class="screen" id="modelarts_03_0058__en-us_topic_0131292962_screen197601257145217">{
"is_success": true

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@ -112,7 +112,7 @@
<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.3.2.4.1.2 "><p id="modelarts_03_0073__en-us_topic_0131307648_p64888930151421">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.3.2.4.1.3 "><p id="modelarts_03_0073__en-us_topic_0131307648_p21511952151421">Engine type of a training job</p>
<ul id="modelarts_03_0073__en-us_topic_0131307648_ul59389840151421"><li id="modelarts_03_0073__en-us_topic_0131307648_li64746518151421">1: TensorFlow</li><li id="modelarts_03_0073__en-us_topic_0131307648_li54614273016">5: Spark_MLlib</li><li id="modelarts_03_0073__en-us_topic_0131307648_li685943019335">6: Scikit Learn</li><li id="modelarts_03_0073__en-us_topic_0131307648_li1534195211305">9: XGBoost-Sklearn</li><li id="modelarts_03_0073__en-us_topic_0131307648_li17201928202913">10: PyTorch</li><li id="modelarts_03_0073__en-us_topic_0131307648_li37137215329">13: Ascend-Powered-Engine</li><li id="modelarts_03_0073__en-us_topic_0131307648_li6943104033214">17: MindSpore-GPU</li></ul>
<ul id="modelarts_03_0073__en-us_topic_0131307648_ul59389840151421"><li id="modelarts_03_0073__en-us_topic_0131307648_li64746518151421">1: TensorFlow</li><li id="modelarts_03_0073__en-us_topic_0131307648_li54614273016">5: Spark_MLlib</li><li id="modelarts_03_0073__en-us_topic_0131307648_li685943019335">6: Scikit Learn</li><li id="modelarts_03_0073__en-us_topic_0131307648_li1534195211305">9: XGBoost-Sklearn</li><li id="modelarts_03_0073__en-us_topic_0131307648_li17201928202913">10: PyTorch</li><li id="modelarts_03_0073__en-us_topic_0131307648_li6943104033214">17: MindSpore-GPU</li></ul>
</td>
</tr>
<tr id="modelarts_03_0073__en-us_topic_0131307648_row62760482151355"><td class="cellrowborder" valign="top" width="17%" headers="mcps1.3.4.3.2.4.1.1 "><p id="modelarts_03_0073__en-us_topic_0131307648_p2798668151421">engine_id</p>

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@ -317,7 +317,6 @@
<td class="cellrowborder" valign="top" width="14.000000000000002%" headers="mcps1.3.4.2.3.2.4.1.2 "><p id="modelarts_03_0077__en-us_topic_0130168816_p6399165195819">String array</p>
</td>
<td class="cellrowborder" valign="top" width="68%" headers="mcps1.3.4.2.3.2.4.1.3 "><p id="modelarts_03_0077__en-us_topic_0130168816_p16230055573">Model deployment type, determining which service a model can be deployed as. Possible values are <span class="parmname" id="modelarts_03_0077__en-us_topic_0130168816_parmname8154145615719"><b>real-time</b></span> (real-time service) and <span class="parmname" id="modelarts_03_0077__en-us_topic_0130168816_parmname1415518561771"><b>batch</b></span> (batch service).</p>
<p id="modelarts_03_0077__en-us_topic_0130168816_p15550934579">Model deployment type, determining which service a model can be deployed as. The example value is <span class="parmname" id="modelarts_03_0077__en-us_topic_0130168816_parmname483912391673"><b>real-time</b></span> (real-time service).</p>
</td>
</tr>
<tr id="modelarts_03_0077__en-us_topic_0130168816_row15787510264"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.3.2.4.1.1 "><p id="modelarts_03_0077__en-us_topic_0130168816_p1557855115262">subscription_id</p>
@ -375,13 +374,6 @@
<td class="cellrowborder" valign="top" width="68.31683168316832%" headers="mcps1.3.4.3.2.4.1.3 "><p id="modelarts_03_0077__en-us_topic_0130168816_p5697124402111">Minimum memory capacity</p>
</td>
</tr>
<tr id="modelarts_03_0077__en-us_topic_0130168816_row1569764412113"><td class="cellrowborder" valign="top" width="17.82178217821782%" headers="mcps1.3.4.3.2.4.1.1 "><p id="modelarts_03_0077__en-us_topic_0130168816_p14698644132115">min_ascend</p>
</td>
<td class="cellrowborder" valign="top" width="13.861386138613863%" headers="mcps1.3.4.3.2.4.1.2 "><p id="modelarts_03_0077__en-us_topic_0130168816_p156988449216">String</p>
</td>
<td class="cellrowborder" valign="top" width="68.31683168316832%" headers="mcps1.3.4.3.2.4.1.3 "><p id="modelarts_03_0077__en-us_topic_0130168816_p1169824422117">Minimal Ascend specifications</p>
</td>
</tr>
</tbody>
</table>
</div>

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@ -130,7 +130,7 @@
</td>
<td class="cellrowborder" valign="top" width="14.000000000000002%" headers="mcps1.3.4.2.2.2.4.1.2 "><p id="modelarts_03_0078__en-us_topic_0130168817_p62758221131">String</p>
</td>
<td class="cellrowborder" valign="top" width="68%" headers="mcps1.3.4.2.2.2.4.1.3 "><p id="modelarts_03_0078__en-us_topic_0130168817_p192771522639">Model type. The value can be <strong id="modelarts_03_0078__en-us_topic_0130168817_b19995342714">TensorFlow</strong>, <strong id="modelarts_03_0078__en-us_topic_0130168817_b119105315274">MXNet</strong>, <strong id="modelarts_03_0078__en-us_topic_0130168817_b121045316274">Spark_MLlib</strong>, <strong id="modelarts_03_0078__en-us_topic_0130168817_b211253122715">Scikit_Learn</strong>, <strong id="modelarts_03_0078__en-us_topic_0130168817_b101114533271">XGBoost</strong>, <strong id="modelarts_03_0078__en-us_topic_0130168817_b12520174481812">MindSpore</strong>, <strong id="modelarts_03_0078__en-us_topic_0130168817_b1912205311271">Image</strong>, or <strong id="modelarts_03_0078__en-us_topic_0130168817_b1712195318270">PyTorch</strong>.</p>
<td class="cellrowborder" valign="top" width="68%" headers="mcps1.3.4.2.2.2.4.1.3 "><p id="modelarts_03_0078__en-us_topic_0130168817_p192771522639">Model type. The value can be <strong id="modelarts_03_0078__en-us_topic_0130168817_b19995342714">TensorFlow</strong>, <strong id="modelarts_03_0078__en-us_topic_0130168817_b119105315274">MXNet</strong>, <strong id="modelarts_03_0078__en-us_topic_0130168817_b121045316274">Spark_MLlib</strong>, <strong id="modelarts_03_0078__en-us_topic_0130168817_b211253122715">Scikit_Learn</strong>, <strong id="modelarts_03_0078__en-us_topic_0130168817_b101114533271">XGBoost</strong>, <strong id="modelarts_03_0078__en-us_topic_0130168817_b1912205311271">Image</strong>, or <strong id="modelarts_03_0078__en-us_topic_0130168817_b1712195318270">PyTorch</strong>.</p>
</td>
</tr>
<tr id="modelarts_03_0078__en-us_topic_0130168817_row1027892213310"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.2.2.4.1.1 "><p id="modelarts_03_0078__en-us_topic_0130168817_p2028118221932">model_size</p>
@ -579,13 +579,6 @@
<td class="cellrowborder" valign="top" width="68.31683168316832%" headers="mcps1.3.4.6.2.4.1.3 "><p id="modelarts_03_0078__en-us_topic_0130168817_p5697124402111">Minimum memory capacity</p>
</td>
</tr>
<tr id="modelarts_03_0078__en-us_topic_0130168817_row1569764412113"><td class="cellrowborder" valign="top" width="17.82178217821782%" headers="mcps1.3.4.6.2.4.1.1 "><p id="modelarts_03_0078__en-us_topic_0130168817_p14698644132115">min_ascend</p>
</td>
<td class="cellrowborder" valign="top" width="13.861386138613863%" headers="mcps1.3.4.6.2.4.1.2 "><p id="modelarts_03_0078__en-us_topic_0130168817_p156988449216">String</p>
</td>
<td class="cellrowborder" valign="top" width="68.31683168316832%" headers="mcps1.3.4.6.2.4.1.3 "><p id="modelarts_03_0078__en-us_topic_0130168817_p1169824422117">Minimum Ascend</p>
</td>
</tr>
</tbody>
</table>
</div>

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@ -405,15 +405,6 @@
<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.3.4.2.5.1.4 "><p id="modelarts_03_0082__en-us_topic_0129882788_p12689457114318">Number of GPUs, which can be decimals. This parameter is optional. By default, it is not used.</p>
</td>
</tr>
<tr id="modelarts_03_0082__en-us_topic_0129882788_row208041835164412"><td class="cellrowborder" valign="top" width="17%" headers="mcps1.3.3.4.2.5.1.1 "><p id="modelarts_03_0082__en-us_topic_0129882788_p1580593584410">ascend_a310</p>
</td>
<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.3.4.2.5.1.2 "><p id="modelarts_03_0082__en-us_topic_0129882788_p188055359441">No</p>
</td>
<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.3.4.2.5.1.3 "><p id="modelarts_03_0082__en-us_topic_0129882788_p280518356446">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.3.4.2.5.1.4 "><p id="modelarts_03_0082__en-us_topic_0129882788_p780583510447">Number of NPUs, which can be decimals. This parameter is optional. By default, it is not used.</p>
</td>
</tr>
</tbody>
</table>
</div>
@ -500,7 +491,7 @@
"cpu": 1.5,
"memory": 7500,
"gpu_p4": 0,
"ascend_a310": 0
},
"instance_count": 1
}]

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@ -326,7 +326,7 @@
</td>
<td class="cellrowborder" valign="top" width="18.627450980392158%" headers="mcps1.3.4.2.3.2.4.1.2 "><p id="modelarts_03_0084__en-us_topic_0130035938_p155097263236">String</p>
</td>
<td class="cellrowborder" valign="top" width="61.76470588235294%" headers="mcps1.3.4.2.3.2.4.1.3 "><p id="modelarts_03_0084__en-us_topic_0130035938_p15681198172911">Resource flavor. Options: <strong id="modelarts_03_0084__en-us_topic_0130035938_b7261133213610">modelarts.vm.cpu.2u</strong>, <strong id="modelarts_03_0084__en-us_topic_0130035938_b19621113743613">modelarts.vm.gpu.p4</strong>, and <strong id="modelarts_03_0084__en-us_topic_0130035938_b11940105303612">modelarts.vm.ai1.a310</strong>Options: <strong id="modelarts_03_0084__en-us_topic_0130035938_b66022314211">modelarts.vm.gpu.v100</strong> and <strong id="modelarts_03_0084__en-us_topic_0130035938_b350512614210">modelarts.vm.cpu.2u</strong> To use other flavors, contact the system administrator.</p>
<td class="cellrowborder" valign="top" width="61.76470588235294%" headers="mcps1.3.4.2.3.2.4.1.3 "><p id="modelarts_03_0084__en-us_topic_0130035938_p15681198172911">Resource flavor. Options: <strong id="modelarts_03_0084__en-us_topic_0130035938_b66022314211">modelarts.vm.gpu.v100</strong> and <strong id="modelarts_03_0084__en-us_topic_0130035938_b350512614210">modelarts.vm.cpu.2u</strong> To use other flavors, contact the system administrator.</p>
</td>
</tr>
<tr id="modelarts_03_0084__en-us_topic_0130035938_row2513256103116"><td class="cellrowborder" valign="top" width="19.607843137254903%" headers="mcps1.3.4.2.3.2.4.1.1 "><p id="modelarts_03_0084__en-us_topic_0130035938_p49518457100">custom_spec</p>
@ -416,7 +416,7 @@
</td>
<td class="cellrowborder" valign="top" width="15.686274509803921%" headers="mcps1.3.4.2.4.2.4.1.2 "><p id="modelarts_03_0084__en-us_topic_0130035938_p2045132312215">String</p>
</td>
<td class="cellrowborder" valign="top" width="66.66666666666667%" headers="mcps1.3.4.2.4.2.4.1.3 "><p id="modelarts_03_0084__en-us_topic_0130035938_p1727805113218">Resource flavor. Options: <strong id="modelarts_03_0084__en-us_topic_0130035938_b17421963387">modelarts.vm.cpu.2u</strong>, <strong id="modelarts_03_0084__en-us_topic_0130035938_b12268101116383">modelarts.vm.gpu.p4</strong>, and <strong id="modelarts_03_0084__en-us_topic_0130035938_b1727631873817">modelarts.vm.ai1.a310</strong>Options: <strong id="modelarts_03_0084__en-us_topic_0130035938_b4816448742">modelarts.vm.gpu.v100</strong> and <strong id="modelarts_03_0084__en-us_topic_0130035938_b1023165310415">modelarts.vm.cpu.2u</strong> To use other flavors, contact the system administrator</p>
<td class="cellrowborder" valign="top" width="66.66666666666667%" headers="mcps1.3.4.2.4.2.4.1.3 "><p id="modelarts_03_0084__en-us_topic_0130035938_p1727805113218">Resource flavor. Options: <strong id="modelarts_03_0084__en-us_topic_0130035938_b4816448742">modelarts.vm.gpu.v100</strong> and <strong id="modelarts_03_0084__en-us_topic_0130035938_b1023165310415">modelarts.vm.cpu.2u</strong> To use other flavors, contact the system administrator</p>
</td>
</tr>
<tr id="modelarts_03_0084__en-us_topic_0130035938_row5589113514531"><td class="cellrowborder" valign="top" width="17.64705882352941%" headers="mcps1.3.4.2.4.2.4.1.1 "><p id="modelarts_03_0084__en-us_topic_0130035938_p67171382120">custom_spec</p>
@ -718,13 +718,6 @@
<td class="cellrowborder" valign="top" width="73.26732673267327%" headers="mcps1.3.4.4.2.4.1.3 "><p id="modelarts_03_0084__en-us_topic_0130035938_p12689457114318">Number of GPUs</p>
</td>
</tr>
<tr id="modelarts_03_0084__en-us_topic_0130035938_row208041835164412"><td class="cellrowborder" valign="top" width="14.85148514851485%" headers="mcps1.3.4.4.2.4.1.1 "><p id="modelarts_03_0084__en-us_topic_0130035938_p1580593584410">ascend_a310</p>
</td>
<td class="cellrowborder" valign="top" width="11.881188118811881%" headers="mcps1.3.4.4.2.4.1.2 "><p id="modelarts_03_0084__en-us_topic_0130035938_p280518356446">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="73.26732673267327%" headers="mcps1.3.4.4.2.4.1.3 "><p id="modelarts_03_0084__en-us_topic_0130035938_p780583510447">Number of Ascend chips</p>
</td>
</tr>
</tbody>
</table>
</div>

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@ -202,7 +202,7 @@
</td>
<td class="cellrowborder" valign="top" width="13.643564356435645%" headers="mcps1.3.3.2.4.2.5.1.3 "><p id="modelarts_03_0086__en-us_topic_0130045990_en-us_topic_0129882788_p124501281565">String</p>
</td>
<td class="cellrowborder" valign="top" width="53.46534653465347%" headers="mcps1.3.3.2.4.2.5.1.4 "><p id="modelarts_03_0086__en-us_topic_0130045990_en-us_topic_0129882788_p1445012281764">Resource flavor. Options: <strong id="modelarts_03_0086__en-us_topic_0130045990_b185581534192217">modelarts.vm.cpu.2u</strong> and <strong id="modelarts_03_0086__en-us_topic_0130045990_b116711842122210">modelarts.vm.gpu.p4</strong></p>
<td class="cellrowborder" valign="top" width="53.46534653465347%" headers="mcps1.3.3.2.4.2.5.1.4 "><p id="modelarts_03_0086__en-us_topic_0130045990_en-us_topic_0129882788_p1445012281764">Resource flavor. </p>
</td>
</tr>
<tr id="modelarts_03_0086__en-us_topic_0130045990_en-us_topic_0129882788_row104508285618"><td class="cellrowborder" valign="top" width="19.633663366336634%" headers="mcps1.3.3.2.4.2.5.1.1 "><p id="modelarts_03_0086__en-us_topic_0130045990_en-us_topic_0129882788_p645020286620">instance_count</p>
@ -364,15 +364,6 @@
<td class="cellrowborder" valign="top" width="54%" headers="mcps1.3.3.4.2.5.1.4 "><p id="modelarts_03_0086__en-us_topic_0130045990_p19854171520391">Number of GPUs, which can be decimals. This parameter is optional. By default, it is not used.</p>
</td>
</tr>
<tr id="modelarts_03_0086__en-us_topic_0130045990_row10854121511396"><td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.4.2.5.1.1 "><p id="modelarts_03_0086__en-us_topic_0130045990_p1385414159392">ascend_a310</p>
</td>
<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.3.4.2.5.1.2 "><p id="modelarts_03_0086__en-us_topic_0130045990_p085411543919">No</p>
</td>
<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.3.4.2.5.1.3 "><p id="modelarts_03_0086__en-us_topic_0130045990_p108541515153913">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="54%" headers="mcps1.3.3.4.2.5.1.4 "><p id="modelarts_03_0086__en-us_topic_0130045990_p98542015183916">Number of NPUs, which can be decimals. This parameter is optional. By default, it is not used.</p>
</td>
</tr>
</tbody>
</table>
</div>

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@ -297,13 +297,6 @@
<td class="cellrowborder" valign="top" width="64.35643564356435%" headers="mcps1.3.4.7.2.4.1.3 "><p id="modelarts_03_0088__en-us_topic_0130234308_p12689457114318">Number of GPUs</p>
</td>
</tr>
<tr id="modelarts_03_0088__en-us_topic_0130234308_row208041835164412"><td class="cellrowborder" valign="top" width="18.81188118811881%" headers="mcps1.3.4.7.2.4.1.1 "><p id="modelarts_03_0088__en-us_topic_0130234308_p1580593584410">ascend_a310</p>
</td>
<td class="cellrowborder" valign="top" width="16.831683168316832%" headers="mcps1.3.4.7.2.4.1.2 "><p id="modelarts_03_0088__en-us_topic_0130234308_p280518356446">Integer</p>
</td>
<td class="cellrowborder" valign="top" width="64.35643564356435%" headers="mcps1.3.4.7.2.4.1.3 "><p id="modelarts_03_0088__en-us_topic_0130234308_p780583510447">Number of Ascend chips</p>
</td>
</tr>
</tbody>
</table>
</div>

2
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@ -3697,7 +3697,7 @@
</td>
<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.1.1.6.1.4 "><p id="modelarts_03_0095__p3975184225713">Chip type {0} is not supported.</p>
</td>
<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.1.6.1.5 "><p id="modelarts_03_0095__p997504219577">Check whether the chip is of Ascend, GPU, Arm, or general type.</p>
<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.1.6.1.5 "><p id="modelarts_03_0095__p997504219577">Check whether the chip is of GPU, Arm, or general type.</p>
</td>
</tr>
<tr id="modelarts_03_0095__row28991137115711"><td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.1.1.6.1.1 "><p id="modelarts_03_0095__p10975142105717">500</p>

8
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@ -2,15 +2,15 @@
<h1 class="topictitle1">Change History</h1>
<div id="body8662426">
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="modelarts_03_0097__en-us_topic_0135263212_table1819116292310" frame="border" border="1" rules="all"><thead align="left"><tr id="modelarts_03_0097__en-us_topic_0135263212_row1119162912317"><th align="left" class="cellrowborder" valign="top" width="19%" id="mcps1.3.1.1.3.1.1"><p id="modelarts_03_0097__en-us_topic_0135263212_p1319117291138">Released On</p>
<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="modelarts_03_0097__table87619506494" frame="border" border="1" rules="all"><thead align="left"><tr id="modelarts_03_0097__row1776115013499"><th align="left" class="cellrowborder" valign="top" width="19%" id="mcps1.3.1.1.3.1.1"><p id="modelarts_03_0097__p1176116503491">Released On</p>
</th>
<th align="left" class="cellrowborder" valign="top" width="81%" id="mcps1.3.1.1.3.1.2"><p id="modelarts_03_0097__en-us_topic_0135263212_p119117291536">Description</p>
<th align="left" class="cellrowborder" valign="top" width="81%" id="mcps1.3.1.1.3.1.2"><p id="modelarts_03_0097__p157613503498">Description</p>
</th>
</tr>
</thead>
<tbody><tr id="modelarts_03_0097__en-us_topic_0135263212_row1179973751615"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.1.1.3.1.1 "><p id="modelarts_03_0097__en-us_topic_0135263212_p1839596113113">2021-04-30</p>
<tbody><tr id="modelarts_03_0097__row16761165054912"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.1.1.3.1.1 "><p id="modelarts_03_0097__p17611150194919">2021-04-30</p>
</td>
<td class="cellrowborder" valign="top" width="81%" headers="mcps1.3.1.1.3.1.2 "><p id="modelarts_03_0097__en-us_topic_0135263212_p6395563310">This is the first official release.</p>
<td class="cellrowborder" valign="top" width="81%" headers="mcps1.3.1.1.3.1.2 "><p id="modelarts_03_0097__p5761125054915">This is the first official release.</p>
</td>
</tr>
</tbody>

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