package automl
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Type Members
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class
BestModel extends Model[BestModel] with ComplexParamsWritable with Wrappable with HasBestModel with SynapseMLLogging
Model produced by FindBestModel.
- class DiscreteHyperParam[T] extends Dist[T]
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abstract
class
Dist[T] extends AnyRef
Represents a distribution of values.
Represents a distribution of values.
- T
The type T of the values generated.
- class DoubleRangeHyperParam extends RangeHyperParam[Double]
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class
FindBestModel extends Estimator[BestModel] with FindBestModelParams with SynapseMLLogging
Evaluates and chooses the best model from a list of models.
- trait FindBestModelParams extends Wrappable with ComplexParamsWritable with HasEvaluationMetric
- class FloatRangeHyperParam extends RangeHyperParam[Float]
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class
GridSpace extends ParamSpace
Represents a parameter grid for tuning with discrete values.
Represents a parameter grid for tuning with discrete values. Can be generated with the ParamGridBuilder.
- trait HasBestModel extends Params
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class
HyperparamBuilder extends AnyRef
Specifies the search space for hyperparameters.
- class IntRangeHyperParam extends RangeHyperParam[Int]
- class LongRangeHyperParam extends RangeHyperParam[Long]
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class
RandomSpace extends ParamSpace
Represents a generator of parameters with specified distributions added by the HyperparamBuilder.
- abstract class RangeHyperParam[T] extends Dist[T]
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class
TuneHyperparameters extends Estimator[TuneHyperparametersModel] with Wrappable with ComplexParamsWritable with HasEvaluationMetric with SynapseMLLogging
Tunes model hyperparameters
Tunes model hyperparameters
Allows user to specify multiple untrained models to tune using various search strategies. Currently supports cross validation with random grid search.
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class
TuneHyperparametersModel extends Model[TuneHyperparametersModel] with ComplexParamsWritable with Wrappable with HasBestModel with SynapseMLLogging
Model produced by TuneHyperparameters.
Value Members
- object BestModel extends ComplexParamsReadable[BestModel] with Serializable
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object
DefaultHyperparams
Provides good default hyperparameter ranges and values for sweeping.
Provides good default hyperparameter ranges and values for sweeping. Publicly visible to users so they can easily select the parameters for sweeping.
- object EvaluationUtils
- object FindBestModel extends ComplexParamsReadable[FindBestModel] with Serializable
- object HyperParamUtils
- object TuneHyperparameters extends ComplexParamsReadable[TuneHyperparameters] with Serializable
- object TuneHyperparametersModel extends ComplexParamsReadable[TuneHyperparametersModel] with Serializable