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K-Means Clustering, Logistic Regression, Decision Tree, Python Script, R model support the preservation of the experiment as a training model. After successful operation, the experimental model can be saved as a training model. The saved training model can be viewed under the training model catalog, and can also be applied to the dashboard of the production report module.

Click to expand the training model directory and drag the training model node to the canvas. You can view the relevant information of the model in the Parameter Configuration on the right, including the fields used in the model, the specific parameters of the model, related experiments, and the training of the model, as follows As shown.