docstr: Train the model and return the best (if applicable)
docstr_tok: ["Train","the","model","and","return","the","best","(","if","applicable",")"]
code: def _train_model(self, experiment, args):
      """Train the model and return the best (if applicable)"""
      model_type = args["model_type"]
      model_name = args["model_name"]
      kwargs = self._select_keys(args, "create_")
      if (
          model_type == "classification"
          or model_type == "regression"
          or model_type == "time_series"
      ) and model_name == "best":
          return experiment.compare_models(**kwargs)
      if model_name == "best":
          raise Exception(
              "Specific model name must be provided for clustering or anomaly tasks"
          )
      return experiment.create_model(model_name, **kwargs)
  
file_path: mindsdb/mindsdb/integrations/handlers/pycaret_handler/pycaret_handler.py
imports: from typing import Optional, Dict
  import os
  import pandas
  from mindsdb.integrations.libs.base import BaseMLEngine
  from pycaret.classification import ClassificationExperiment
  from pycaret.regression import RegressionExperiment
  from pycaret.time_series import TSForecastingExperiment
  from pycaret.clustering import ClusteringExperiment
  from pycaret.anomaly import AnomalyExperiment
label_desc: Use image node_id 7 for calling the PyCaretHandler obj's underlying member method code with example usage: obj._train_model(experiment, args) and returns: experiment, experiment