modelType property

String? modelType
getter/setter pair

The type of the model that is being trained.

Output only. Possible string values are:

  • "MODEL_TYPE_UNSPECIFIED" : Default value.
  • "LINEAR_REGRESSION" : Linear regression model.
  • "LOGISTIC_REGRESSION" : Logistic regression based classification model.
  • "KMEANS" : K-means clustering model.
  • "MATRIX_FACTORIZATION" : Matrix factorization model.
  • "DNN_CLASSIFIER" : DNN classifier model.
  • "TENSORFLOW" : An imported TensorFlow model.
  • "DNN_REGRESSOR" : DNN regressor model.
  • "XGBOOST" : An imported XGBoost model.
  • "BOOSTED_TREE_REGRESSOR" : Boosted tree regressor model.
  • "BOOSTED_TREE_CLASSIFIER" : Boosted tree classifier model.
  • "ARIMA" : ARIMA model.
  • "AUTOML_REGRESSOR" : AutoML Tables regression model.
  • "AUTOML_CLASSIFIER" : AutoML Tables classification model.
  • "PCA" : Prinpical Component Analysis model.
  • "DNN_LINEAR_COMBINED_CLASSIFIER" : Wide-and-deep classifier model.
  • "DNN_LINEAR_COMBINED_REGRESSOR" : Wide-and-deep regressor model.
  • "AUTOENCODER" : Autoencoder model.
  • "ARIMA_PLUS" : New name for the ARIMA model.
  • "ARIMA_PLUS_XREG" : ARIMA with external regressors.
  • "RANDOM_FOREST_REGRESSOR" : Random forest regressor model.
  • "RANDOM_FOREST_CLASSIFIER" : Random forest classifier model.
  • "TENSORFLOW_LITE" : An imported TensorFlow Lite model.
  • "ONNX" : An imported ONNX model.
  • "TRANSFORM_ONLY" : Model to capture the manual preprocessing logic in the transform clause.

Implementation

core.String? modelType;