Class AutoMLAlgorithmConfig

    • Method Detail

      • autoMLAlgorithms

        public final List<AutoMLAlgorithm> autoMLAlgorithms()

        The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

        Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.

        • In ENSEMBLING mode:

          • "catboost"

          • "extra-trees"

          • "fastai"

          • "lightgbm"

          • "linear-learner"

          • "nn-torch"

          • "randomforest"

          • "xgboost"

        • In HYPERPARAMETER_TUNING mode:

          • "linear-learner"

          • "mlp"

          • "xgboost"

        Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.

        This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasAutoMLAlgorithms() method.

        Returns:
        The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

        Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.

        • In ENSEMBLING mode:

          • "catboost"

          • "extra-trees"

          • "fastai"

          • "lightgbm"

          • "linear-learner"

          • "nn-torch"

          • "randomforest"

          • "xgboost"

        • In HYPERPARAMETER_TUNING mode:

          • "linear-learner"

          • "mlp"

          • "xgboost"

      • hasAutoMLAlgorithms

        public final boolean hasAutoMLAlgorithms()
        For responses, this returns true if the service returned a value for the AutoMLAlgorithms property. This DOES NOT check that the value is non-empty (for which, you should check the isEmpty() method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified.
      • autoMLAlgorithmsAsStrings

        public final List<String> autoMLAlgorithmsAsStrings()

        The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

        Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.

        • In ENSEMBLING mode:

          • "catboost"

          • "extra-trees"

          • "fastai"

          • "lightgbm"

          • "linear-learner"

          • "nn-torch"

          • "randomforest"

          • "xgboost"

        • In HYPERPARAMETER_TUNING mode:

          • "linear-learner"

          • "mlp"

          • "xgboost"

        Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.

        This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasAutoMLAlgorithms() method.

        Returns:
        The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

        Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.

        • In ENSEMBLING mode:

          • "catboost"

          • "extra-trees"

          • "fastai"

          • "lightgbm"

          • "linear-learner"

          • "nn-torch"

          • "randomforest"

          • "xgboost"

        • In HYPERPARAMETER_TUNING mode:

          • "linear-learner"

          • "mlp"

          • "xgboost"

      • hashCode

        public final int hashCode()
        Overrides:
        hashCode in class Object
      • equals

        public final boolean equals​(Object obj)
        Overrides:
        equals in class Object
      • toString

        public final String toString()
        Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
        Overrides:
        toString in class Object
      • getValueForField

        public final <T> Optional<T> getValueForField​(String fieldName,
                                                      Class<T> clazz)