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com.microsoft.azure.synapse.ml.automl

DefaultHyperparams

object DefaultHyperparams

Provides good default hyperparameter ranges and values for sweeping. Publicly visible to users so they can easily select the parameters for sweeping.

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  1. def defaultRange(learner: NaiveBayes): Array[(Param[_], Dist[_])]

    Defines the default hyperparameter range for naive bayes classifier

    Defines the default hyperparameter range for naive bayes classifier

    returns

    The hyperparameter search space for naive bayes classifier

  2. def defaultRange(learner: MultilayerPerceptronClassifier): Array[(Param[_], Dist[_])]

    Defines the default hyperparameter range for multilayer perceptron classifier

    Defines the default hyperparameter range for multilayer perceptron classifier

    returns

    The hyperparameter search space for multilayer perceptron classifier

  3. def defaultRange(learner: RandomForestClassifier): Array[(Param[_], Dist[_])]

    Defines the default hyperparameter range for random forest classifier

    Defines the default hyperparameter range for random forest classifier

    returns

    The hyperparameter search space for random forest classifier

  4. def defaultRange(learner: GBTClassifier): Array[(Param[_], Dist[_])]

    Defines the default hyperparameter range for gradient boosted trees classifier

    Defines the default hyperparameter range for gradient boosted trees classifier

    returns

    The hyperparameter search space for gradient boosted trees classifier

  5. def defaultRange(learner: DecisionTreeClassifier): Array[(Param[_], Dist[_])]

    Defines the default hyperparameter range for decision tree classifier

    Defines the default hyperparameter range for decision tree classifier

    returns

    The hyperparameter search space for decision tree classifier

  6. def defaultRange(learner: LogisticRegression): Array[(Param[_], Dist[_])]

    Defines the default hyperparameter range for logistic regression.

    Defines the default hyperparameter range for logistic regression.

    returns

    The hyperparameter search space for logistic regression.