Post: Auto Ml Endpoint

Triggers the AutoML pipeline to automatically identify and return the best-performing model for a given use case and task type.

Endpoint:

/auto_ml/get_best_model

Input Parameters:

• usecaseId (string, required): Unique identifier for the dataset/use case
• usecaseVersion (integer, optional): Specific version of the use case (optional)
• task_type (string, required): Type of machine learning task (classification, regression, etc.)
• target_column (string, required): Name of the column to be predicted

Output:

Returns a JSON object containing the best model details including performance metrics and model metadata.