Package

ai.deepsense.deeplang.doperables.spark.wrappers

estimators

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package estimators

Visibility
  1. Public
  2. All

Type Members

  1. class AFTSurvivalRegression extends SparkEstimatorWrapper[AFTSurvivalRegressionModel, org.apache.spark.ml.regression.AFTSurvivalRegression, AFTSurvivalRegressionModel] with AFTSurvivalRegressionParams with HasLabelColumnParam with HasMaxIterationsParam with HasTolerance with HasFitIntercept

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  2. class ALS extends SparkEstimatorWrapper[ALSModel, org.apache.spark.ml.recommendation.ALS, ALSModel] with HasItemColumnParam with HasPredictionColumnCreatorParam with HasUserColumnParam with HasMaxIterationsParam with HasSeedParam with HasRegularizationParam with HasCheckpointIntervalParam

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  3. class ChiSqSelectorEstimator extends SparkEstimatorWrapper[ChiSqSelectorModel, ChiSqSelector, ChiSqSelectorModel] with HasFeaturesColumnParam with HasOutputColumn with HasLabelColumnParam

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  4. class CountVectorizerEstimator extends SparkSingleColumnEstimatorWrapper[CountVectorizerModel, CountVectorizer, CountVectorizerModel] with HasMinTermsFrequencyParam

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  5. class DecisionTreeClassifier extends StringIndexingEstimatorWrapper[DecisionTreeClassificationModel, org.apache.spark.ml.classification.DecisionTreeClassifier, VanillaDecisionTreeClassificationModel, DecisionTreeClassificationModel]

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  6. class DecisionTreeRegression extends SparkEstimatorWrapper[DecisionTreeRegressionModel, DecisionTreeRegressor, DecisionTreeRegressionModel] with DecisionTreeParams with HasRegressionImpurityParam with HasLabelColumnParam

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  7. class GBTClassifier extends StringIndexingEstimatorWrapper[GBTClassificationModel, org.apache.spark.ml.classification.GBTClassifier, VanillaGBTClassificationModel, GBTClassificationModel]

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  8. class GBTRegression extends SparkEstimatorWrapper[GBTRegressionModel, GBTRegressor, GBTRegressionModel] with GBTParams with HasRegressionImpurityParam

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  9. class IDFEstimator extends SparkSingleColumnEstimatorWrapper[IDFModel, IDF, IDFModel]

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  10. class IsotonicRegression extends SparkEstimatorWrapper[IsotonicRegressionModel, org.apache.spark.ml.regression.IsotonicRegression, IsotonicRegressionModel] with PredictorParams with HasFeatureIndexParam with HasLabelColumnParam with HasOptionalWeightColumnParam

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  11. class KMeans extends SparkEstimatorWrapper[KMeansModel, org.apache.spark.ml.clustering.KMeans, KMeansModel] with PredictorParams with HasNumberOfClustersParam with HasMaxIterationsParam with HasSeedParam with HasTolerance

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  12. class LDA extends SparkEstimatorWrapper[LDAModel, org.apache.spark.ml.clustering.LDA, LDAModel] with HasCheckpointIntervalParam with HasFeaturesColumnParam with HasNumberOfClustersParam with HasMaxIterationsParam with HasSeedParam

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  13. class LinearRegression extends SparkEstimatorWrapper[LinearRegressionModel, org.apache.spark.ml.regression.LinearRegression, LinearRegressionModel] with LinearRegressionParams

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  14. class LogisticRegression extends SparkEstimatorWrapper[LogisticRegressionModel, org.apache.spark.ml.classification.LogisticRegression, LogisticRegressionModel] with ProbabilisticClassifierParams with HasLabelColumnParam with HasThreshold with HasRegularizationParam with HasElasticNetParam with HasMaxIterationsParam with HasTolerance with HasFitIntercept with HasStandardization with HasOptionalWeightColumnParam

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  15. class MinMaxScalerEstimator extends SparkSingleColumnEstimatorWrapper[MinMaxScalerModel, MinMaxScaler, MinMaxScalerModel] with MinMaxParams with HasInputColumn with HasOutputColumn

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  16. class MultilayerPerceptronClassifier extends SparkEstimatorWrapper[MultilayerPerceptronClassificationModel, org.apache.spark.ml.classification.MultilayerPerceptronClassifier, MultilayerPerceptronClassifierModel] with PredictorParams with HasLabelColumnParam with HasMaxIterationsParam with HasSeedParam with HasTolerance

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  17. class NaiveBayes extends SparkEstimatorWrapper[NaiveBayesModel, org.apache.spark.ml.classification.NaiveBayes, NaiveBayesModel] with ProbabilisticClassifierParams with HasLabelColumnParam

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  18. class PCAEstimator extends SparkSingleColumnEstimatorWrapper[PCAModel, PCA, PCAModel]

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  19. class QuantileDiscretizerEstimator extends SparkSingleColumnEstimatorWrapper[Bucketizer, QuantileDiscretizer, QuantileDiscretizerModel]

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  20. class RandomForestClassifier extends StringIndexingEstimatorWrapper[RandomForestClassificationModel, org.apache.spark.ml.classification.RandomForestClassifier, VanillaRandomForestClassificationModel, RandomForestClassificationModel]

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  21. class RandomForestRegression extends SparkEstimatorWrapper[RandomForestRegressionModel, RandomForestRegressor, RandomForestRegressionModel] with PredictorParams with HasLabelColumnParam with HasSeedParam with HasMaxDepthParam with HasMinInstancePerNodeParam with HasMaxBinsParam with HasSubsamplingRateParam with HasMinInfoGainParam with HasMaxMemoryInMBParam with HasCacheNodeIdsParam with HasCheckpointIntervalParam with HasNumTreesParam with HasFeatureSubsetStrategyParam with HasRegressionImpurityParam with Logging

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  22. class SingleStringIndexer extends SparkSingleColumnEstimatorWrapper[StringIndexerModel, StringIndexer, SingleColumnStringIndexerModel]

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  23. class StandardScalerEstimator extends SparkSingleColumnEstimatorWrapper[StandardScalerModel, StandardScaler, StandardScalerModel]

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  24. class StringIndexerEstimator extends SparkMultiColumnEstimatorWrapper[StringIndexerModel, StringIndexer, StringIndexerModel, SingleColumnStringIndexerModel, SingleStringIndexer, MultiColumnStringIndexerModel]

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  25. class VanillaDecisionTreeClassifier extends SparkEstimatorWrapper[DecisionTreeClassificationModel, org.apache.spark.ml.classification.DecisionTreeClassifier, VanillaDecisionTreeClassificationModel] with HasClassificationImpurityParam with DecisionTreeParams with ProbabilisticClassifierParams with HasLabelColumnParam

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  26. class VanillaGBTClassifier extends SparkEstimatorWrapper[GBTClassificationModel, org.apache.spark.ml.classification.GBTClassifier, VanillaGBTClassificationModel] with GBTParams with HasClassificationImpurityParam with Logging

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  27. class VanillaRandomForestClassifier extends SparkEstimatorWrapper[RandomForestClassificationModel, org.apache.spark.ml.classification.RandomForestClassifier, VanillaRandomForestClassificationModel] with HasMaxDepthParam with HasMaxBinsParam with HasMinInstancePerNodeParam with HasMinInfoGainParam with HasMaxMemoryInMBParam with HasCacheNodeIdsParam with HasCheckpointIntervalParam with HasSubsamplingRateParam with HasSeedParam with HasNumTreesParam with HasFeatureSubsetStrategyParam with PredictorParams with HasLabelColumnParam with ProbabilisticClassifierParams with HasClassificationImpurityParam

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  28. class VectorIndexerEstimator extends SparkSingleColumnEstimatorWrapper[VectorIndexerModel, VectorIndexer, VectorIndexerModel]

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  29. class Word2VecEstimator extends SparkSingleColumnEstimatorWrapper[Word2VecModel, Word2Vec, Word2VecModel] with Word2VecParams

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Value Members

  1. object GBTClassifier extends Serializable

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  2. object GBTRegression extends Serializable

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  3. object KMeans extends Serializable

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  4. object LDA extends Serializable

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  5. object NaiveBayes extends Serializable

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Ungrouped