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2
api-ref/source/calling_apis/response.rst
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@ -55,7 +55,7 @@ Similar to a request, a response also has a header, for example, **Content-type*
| | Default value: hour | | | | Default value: hour | |
+-----------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------+ +-----------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------+
`Figure 1 <#modelarts030003enustopic0171310283enustopic0170917209enustopic0168405765fig4865141011511>`__ shows the response header fields for the API used to obtain a user token. Figure 1 shows the response header fields for the API used to obtain a user token.
**x-subject-token** is the desired user token. This token can then be used to authenticate the calling of other APIs. **x-subject-token** is the desired user token. This token can then be used to authenticate the calling of other APIs.

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umn/source/custom_images/for_training_models/creating_a_training_job_using_a_custom_image_gpu.rst
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@ -12,7 +12,7 @@ Prerequisites
Creating a Training Job Creating a Training Job
----------------------- -----------------------
Log in to the ModelArts management console and create a training job according to `Creating a Training Job <../../training_management/index.html>`__. When using a custom image to create a job, pay attention to the settings of **Algorithm Source**, **Environment Variable**, and **Resource Pool**. Log in to the ModelArts management console and create a training job according to `Creating a Training Job <../../training_management/creating_a_training_job/index.html>`__. When using a custom image to create a job, pay attention to the settings of **Algorithm Source**, **Environment Variable**, and **Resource Pool**.
- **Algorithm Source** - **Algorithm Source**

2
umn/source/devenviron_notebook/managing_notebook_instances/creating_a_notebook_instance.rst
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@ -59,7 +59,7 @@ Creating a Notebook Instance
| | | | | |
| | All supported AI engines can be used in the same notebook instance. Different engines can be switched quickly and conveniently, and run in independent development environments. After the notebook instance is created, go to the **Jupyter** page to create the development environment with the desired AI engine. The AI engine varies depending on the operating environment. For details, see `Supported AI Engines <../../devenviron_notebook/introduction_to_notebook.html#supported-ai-engines>`__. | | | All supported AI engines can be used in the same notebook instance. Different engines can be switched quickly and conveniently, and run in independent development environments. After the notebook instance is created, go to the **Jupyter** page to create the development environment with the desired AI engine. The AI engine varies depending on the operating environment. For details, see `Supported AI Engines <../../devenviron_notebook/introduction_to_notebook.html#supported-ai-engines>`__. |
+-----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Resource Pool | Select **Public resource pools** or **Dedicated resource pools**. For details about the dedicated resource pools and how to buy them, see `Resource Pools <../..//resource_pools.html>`__. | | Resource Pool | Select **Public resource pools** or **Dedicated resource pools**. For details about the dedicated resource pools and how to buy them, see `Resource Pools <../../resource_pools.html>`__. |
| | | | | |
| | Public resource pools are available immediately after being provisioned. Dedicated resource pools are queue-free. When a large number of users use the public resource pool, they may queue for resources. Purchase a dedicated resource pool to improve development efficiency. | | | Public resource pools are available immediately after being provisioned. Dedicated resource pools are queue-free. When a large number of users use the public resource pool, they may queue for resources. Purchase a dedicated resource pool to improve development efficiency. |
+-----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-----------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

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umn/source/exeml/introduction_to_exeml.rst
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@ -14,7 +14,7 @@ Currently, you can use ExeML to quickly create image classification, and object
ExeML Usage Process ExeML Usage Process
------------------- -------------------
With ModelArts ExeML, you can develop AI models without coding. You only need to upload data, create a project, label the data, publish training, and deploy the trained model. Up to 100 ExeML projects can be created. For details, see `Figure 1 <#modelarts210001enustopic0284258830enustopic0169445434fig3917183328>`__. With ModelArts ExeML, you can develop AI models without coding. You only need to upload data, create a project, label the data, publish training, and deploy the trained model. Up to 100 ExeML projects can be created. For details, see Figure 1.
.. figure:: /_static/images/en-us_image_0000001110921482.png .. figure:: /_static/images/en-us_image_0000001110921482.png
:alt: **Figure 1** Usage process of ExeML :alt: **Figure 1** Usage process of ExeML

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umn/source/exeml/object_detection/deploying_a_model_as_a_service.rst
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@ -43,15 +43,15 @@ Testing a Service
.. table:: **Table 1** Parameters in the prediction result .. table:: **Table 1** Parameters in the prediction result
+-------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-------------------+---------------------------------------------------------------------------------------------------------+
| Parameter | Description | | Parameter | Description |
+===================+======================================================================================================================================================================================+ +===================+=========================================================================================================+
| detection_classes | Label of each detection box | | detection_classes | Label of each detection box |
+-------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-------------------+---------------------------------------------------------------------------------------------------------+
| detection_boxes | Coordinates of four points (y_min, x_min, y_max, and x_max) of each detection box, as shown in `Figure 1 <#modelarts210013enustopic0284258842enustopic0169446262fig8987811133012>`__ | | detection_boxes | Coordinates of four points (y_min, x_min, y_max, and x_max) of each detection box, as shown in Figure 1 |
+-------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-------------------+---------------------------------------------------------------------------------------------------------+
| detection_scores | Confidence of each detection box | | detection_scores | Confidence of each detection box |
+-------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-------------------+---------------------------------------------------------------------------------------------------------+
.. figure:: /_static/images/en-us_image_0000001157080853.png .. figure:: /_static/images/en-us_image_0000001157080853.png
:alt: **Figure 1** Illustration for coordinates of four points of a detection box :alt: **Figure 1** Illustration for coordinates of four points of a detection box

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umn/source/faqs/exeml/what_are_image_classification_and_object_detection.rst
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@ -1,7 +1,7 @@
What Are Image Classification and Object Detection? What Are Image Classification and Object Detection?
=================================================== ===================================================
Image classification is an image processing method that separates different classes of targets according to the features reflected in the images. With quantitative analysis on images, it classifies an image or each pixel or area in an image into different categories to replace human visual interpretation. In general, image classification aims to identify a class, status, or scene in an image. It is applicable to scenarios where an image contains only one object. `Figure 1 <#modelarts050018enustopic0000001096467407enustopic0285164820enustopic0147657895fig630464819155>`__ shows an example of identifying a car in an image. Image classification is an image processing method that separates different classes of targets according to the features reflected in the images. With quantitative analysis on images, it classifies an image or each pixel or area in an image into different categories to replace human visual interpretation. In general, image classification aims to identify a class, status, or scene in an image. It is applicable to scenarios where an image contains only one object. Figure 1 shows an example of identifying a car in an image.
.. figure:: /_static/images/en-us_image_0000001156920931.png .. figure:: /_static/images/en-us_image_0000001156920931.png
:alt: **Figure 1** Image classification :alt: **Figure 1** Image classification
@ -9,7 +9,7 @@ Image classification is an image processing method that separates different clas
**Figure 1** Image classification **Figure 1** Image classification
Object detection is one of the classical problems in computer vision. It intends to label objects with frames and identify the object classes in an image. Generally, if an image contains multiple objects, object detection can identify the location, quantity, and name of each object in the image. It is suitable for scenarios where an image contains multiple objects. `Figure 2 <#modelarts050018enustopic0000001096467407enustopic0285164820enustopic0147657895fig522176141613>`__ shows an example of identifying a tree and a car in an image. Object detection is one of the classical problems in computer vision. It intends to label objects with frames and identify the object classes in an image. Generally, if an image contains multiple objects, object detection can identify the location, quantity, and name of each object in the image. It is suitable for scenarios where an image contains multiple objects. Figure 2 shows an example of identifying a tree and a car in an image.
.. figure:: /_static/images/en-us_image_0000001110920962.png .. figure:: /_static/images/en-us_image_0000001110920962.png
:alt: **Figure 2** Object detection :alt: **Figure 2** Object detection

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umn/source/model_deployment/modifying_a_service.rst
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@ -3,9 +3,9 @@ Modifying a Service
For a deployed service, you can modify its basic information to match service changes. You can modify the basic information about a service in either of the following ways: For a deployed service, you can modify its basic information to match service changes. You can modify the basic information about a service in either of the following ways:
`Method 1: Modify Service Information on the Service Management Page <#method-1:-modify-service-information-on-the-service-management-page>`__ `Method 1: Modify Service Information on the Service Management Page <#method-1--modify-service-information-on-the-service-management-page>`__
`Method 2: Modify Service Information on the Service Details Page <#method-2:-modify-service-information-on-the-service-details-page>`__ `Method 2: Modify Service Information on the Service Details Page <#method-2--modify-service-information-on-the-service-details-page>`__
Prerequisites Prerequisites
------------- -------------

4
umn/source/model_deployment/real-time_services/accessing_a_real-time_service_token-based_authentication.rst
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@ -3,9 +3,9 @@ Accessing a Real-Time Service (Token-based Authentication)
If a real-time service is in the **Running** state, the real-time service has been deployed successfully. This service provides a standard RESTful API for users to call. Before integrating the API to the production environment, commission the API. You can use either of the following methods to send an inference request to the real-time service: If a real-time service is in the **Running** state, the real-time service has been deployed successfully. This service provides a standard RESTful API for users to call. Before integrating the API to the production environment, commission the API. You can use either of the following methods to send an inference request to the real-time service:
`Method 1: Use GUI-based Software for Inference (Postman) <#method-1:-use-gui-based-software-for-inference-(postman)>`__ (Postman is recommended for Windows.) `Method 1: Use GUI-based Software for Inference (Postman) <#method-1--use-gui-based-software-for-inference-(postman)>`__ (Postman is recommended for Windows.)
`Method 2: Run the cURL Command to Send an Inference Request <#method-2:-run-the-curl-command-to-send-an-inference-request>`__ (curl commands are recommended for Linux.) `Method 2: Run the cURL Command to Send an Inference Request <#method-2--run-the-curl-command-to-send-an-inference-request>`__ (curl commands are recommended for Linux.)
Method 1: Use GUI-based Software for Inference (Postman) Method 1: Use GUI-based Software for Inference (Postman)
-------------------------------------------------------- --------------------------------------------------------

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umn/source/model_deployment/real-time_services/deploying_a_model_as_a_real-time_service.rst
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@ -50,7 +50,7 @@ Procedure
+=========================+=============================+============================================================================================================================================================================================================================================================================================+ +=========================+=============================+============================================================================================================================================================================================================================================================================================+
| Resource Pool | Public resource pools | Instances in the public resource pool can be of the CPU or GPU type. | | Resource Pool | Public resource pools | Instances in the public resource pool can be of the CPU or GPU type. |
+-------------------------+-----------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-------------------------+-----------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Resource Pool | Dedicated resource pools | For details about how to create a dedicated resource pool, see `Creating a Dedicated Resource Pool <../..//resource_pools.html#creating-a-dedicated-resource-pool>`__. You can select a specification from the resource pool specifications. | | Resource Pool | Dedicated resource pools | For details about how to create a dedicated resource pool, see `Creating a Dedicated Resource Pool <../../resource_pools.html#creating-a-dedicated-resource-pool>`__. You can select a specification from the resource pool specifications. |
+-------------------------+-----------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-------------------------+-----------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Model and Configuration | Model Source | You can select **My Models** or **My Subscriptions** based on site requirements. The models that match the model sources are displayed. | | Model and Configuration | Model Source | You can select **My Models** or **My Subscriptions** based on site requirements. The models that match the model sources are displayed. |
+-------------------------+-----------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-------------------------+-----------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

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umn/source/model_management/introduction_to_model_management.rst
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@ -30,7 +30,7 @@ Model Management Functions
+-------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Supported Function | Description | | Supported Function | Description |
+=====================================================================================================================================+=============================================================================================================================================================================================================================================================+ +=====================================================================================================================================+=============================================================================================================================================================================================================================================================+
| `Importing a Model <../model_management/index.html>`__ | Import the trained models to ModelArts for unified management. You can import models using four methods. The following provides the operation guide for each method. | | `Importing a Model <../model_management/importing_a_model/index.html>`__ | Import the trained models to ModelArts for unified management. You can import models using four methods. The following provides the operation guide for each method. |
| | | | | |
| | - `Importing a Meta Model from a Training Job <../model_management/importing_a_model/importing_a_meta_model_from_a_training_job.html>`__ | | | - `Importing a Meta Model from a Training Job <../model_management/importing_a_model/importing_a_meta_model_from_a_training_job.html>`__ |
| | - `Importing a Meta Model from a Template <../model_management/importing_a_model/importing_a_meta_model_from_a_template.html>`__ | | | - `Importing a Meta Model from a Template <../model_management/importing_a_model/importing_a_meta_model_from_a_template.html>`__ |

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umn/source/model_templates/introduction_to_model_templates.rst
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@ -14,7 +14,7 @@ The following uses the template described in `TensorFlow-py36 General Template <
ModelArts also provides three filter criteria: **Type**, **Engine**, and **Environment**, helping you quickly find the desired template. If the three filter criteria cannot meet your requirements, you can enter keywords to search for the target template. ModelArts also provides three filter criteria: **Type**, **Engine**, and **Environment**, helping you quickly find the desired template. If the three filter criteria cannot meet your requirements, you can enter keywords to search for the target template.
#. For **Model Folder**, select the **model** directory where the model files reside. For details, see `Template Description <../model_templates/index.html>`__. #. For **Model Folder**, select the **model** directory where the model files reside. For details, see `Template Description <../model_templates/template_description/index.html>`__.
.. note:: .. note::
@ -22,7 +22,7 @@ The following uses the template described in `TensorFlow-py36 General Template <
#. If the default input and output mode of the selected template can be overwritten, you can select an input and output mode based on the model function or application scenario. **Input and Output Mode** is an abstract of the API in **config.json**. It describes the interface provided by the model for external inference. An input and output mode describes one or more APIs, and corresponds to a template. #. If the default input and output mode of the selected template can be overwritten, you can select an input and output mode based on the model function or application scenario. **Input and Output Mode** is an abstract of the API in **config.json**. It describes the interface provided by the model for external inference. An input and output mode describes one or more APIs, and corresponds to a template.
For details about the supported input and output modes, see `Input and Output Modes <../model_templates/index.html>`__. For details about the supported input and output modes, see `Input and Output Modes <../model_templates/input_and_output_modes/index.html>`__.
Supported Templates Supported Templates
------------------- -------------------

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umn/source/training_management/introduction_to_model_training.rst
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@ -15,7 +15,7 @@ Description of the Model Training Function
+------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------+ +------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------+
| Function | Description | Reference | | Function | Description | Reference |
+==============================+==============================================================================================================================================================================================================================================================================================================================================================+=================================================================================================+ +==============================+==============================================================================================================================================================================================================================================================================================================================================================+=================================================================================================+
| Training job management | You can create training jobs, manage training job versions, and view details of training jobs, and evaluation details. | `Creating a Training Job <../training_management/index.html>`__ | | Training job management | You can create training jobs, manage training job versions, and view details of training jobs, and evaluation details. | `Creating a Training Job <../training_management/creating_a_training_job/index.html>`__ |
| | | | | | | |
| | | `Managing Training Job Versions <../training_management/managing_training_job_versions.html>`__ | | | | `Managing Training Job Versions <../training_management/managing_training_job_versions.html>`__ |
| | | | | | | |

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umn/source/training_management/managing_training_job_versions.rst
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@ -41,7 +41,7 @@ On the **Version Manager** page, ModelArts provides certain shortcut operation b
| | | | | |
| | TensorBoard supports only the TensorFlow and MXNet engines. Therefore, you can create the TensorBoard jobs only when the AI engine is TensorFlow or MXNet. | | | TensorBoard supports only the TensorFlow and MXNet engines. Therefore, you can create the TensorBoard jobs only when the AI engine is TensorFlow or MXNet. |
+-----------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-----------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Create Model | Creates a model for the current training version. For details about how to create a model, see `Importing a Model <../model_management/index.html>`__. You can only create models for training jobs in the **Running** status. | | Create Model | Creates a model for the current training version. For details about how to create a model, see `Importing a Model <../model_management/importing_a_model/index.html>`__. You can only create models for training jobs in the **Running** status. |
+-----------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-----------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Modify | If the training result of the current version does not meet service requirements or the training job fails, click **Modify** to switch to the page where you can modify the job parameter settings. For details about the parameters of the training job, see `Creating a Training Job <../training_management/creating_a_training_job/introduction_to_training_jobs.html>`__. After modifying the job parameter settings as required, click **OK** to start the training job of a new version. | | Modify | If the training result of the current version does not meet service requirements or the training job fails, click **Modify** to switch to the page where you can modify the job parameter settings. For details about the parameters of the training job, see `Creating a Training Job <../training_management/creating_a_training_job/introduction_to_training_jobs.html>`__. After modifying the job parameter settings as required, click **OK** to start the training job of a new version. |
+-----------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ +-----------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+