Error Message "DataFrame.dtypes for data must be int, float or bool" Displayed in Logs

Symptom

DataFrame.dtypes for data must be int, float or bool

Possible Causes

The training data is not of the int, float, or bool type.

Solution

from sklearn import preprocessing 
lbl = preprocessing.LabelEncoder() 
train_x['acc_id1'] = lbl.fit_transform(train_x['acc_id1'].astype(str)

Summary and Suggestions

Before creating a training job, use the ModelArts development environment to debug the training code to maximally eliminate errors in code migration.