ai
.
deepsense
.
deeplang
.
doperables
.
spark
.
wrappers
estimators
package
estimators
Visibility
Public
All
Type Members
class
AFTSurvivalRegression
extends
SparkEstimatorWrapper
[
AFTSurvivalRegressionModel
,
org.apache.spark.ml.regression.AFTSurvivalRegression
,
AFTSurvivalRegressionModel
] with
AFTSurvivalRegressionParams
with
HasLabelColumnParam
with
HasMaxIterationsParam
with
HasTolerance
with
HasFitIntercept
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
class
ChiSqSelectorEstimator
extends
SparkEstimatorWrapper
[
ChiSqSelectorModel
,
ChiSqSelector
,
ChiSqSelectorModel
] with
HasFeaturesColumnParam
with
HasOutputColumn
with
HasLabelColumnParam
class
CountVectorizerEstimator
extends
SparkSingleColumnEstimatorWrapper
[
CountVectorizerModel
,
CountVectorizer
,
CountVectorizerModel
] with
HasMinTermsFrequencyParam
class
DecisionTreeClassifier
extends
StringIndexingEstimatorWrapper
[
DecisionTreeClassificationModel
,
org.apache.spark.ml.classification.DecisionTreeClassifier
,
VanillaDecisionTreeClassificationModel
,
DecisionTreeClassificationModel
]
class
DecisionTreeRegression
extends
SparkEstimatorWrapper
[
DecisionTreeRegressionModel
,
DecisionTreeRegressor
,
DecisionTreeRegressionModel
] with
DecisionTreeParams
with
HasRegressionImpurityParam
with
HasLabelColumnParam
class
GBTClassifier
extends
StringIndexingEstimatorWrapper
[
GBTClassificationModel
,
org.apache.spark.ml.classification.GBTClassifier
,
VanillaGBTClassificationModel
,
GBTClassificationModel
]
class
GBTRegression
extends
SparkEstimatorWrapper
[
GBTRegressionModel
,
GBTRegressor
,
GBTRegressionModel
] with
GBTParams
with
HasRegressionImpurityParam
class
IDFEstimator
extends
SparkSingleColumnEstimatorWrapper
[
IDFModel
,
IDF
,
IDFModel
]
class
IsotonicRegression
extends
SparkEstimatorWrapper
[
IsotonicRegressionModel
,
org.apache.spark.ml.regression.IsotonicRegression
,
IsotonicRegressionModel
] with
PredictorParams
with
HasFeatureIndexParam
with
HasLabelColumnParam
with
HasOptionalWeightColumnParam
class
KMeans
extends
SparkEstimatorWrapper
[
KMeansModel
,
org.apache.spark.ml.clustering.KMeans
,
KMeansModel
] with
PredictorParams
with
HasNumberOfClustersParam
with
HasMaxIterationsParam
with
HasSeedParam
with
HasTolerance
class
LDA
extends
SparkEstimatorWrapper
[
LDAModel
,
org.apache.spark.ml.clustering.LDA
,
LDAModel
] with
HasCheckpointIntervalParam
with
HasFeaturesColumnParam
with
HasNumberOfClustersParam
with
HasMaxIterationsParam
with
HasSeedParam
class
LinearRegression
extends
SparkEstimatorWrapper
[
LinearRegressionModel
,
org.apache.spark.ml.regression.LinearRegression
,
LinearRegressionModel
] with
LinearRegressionParams
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
class
MinMaxScalerEstimator
extends
SparkSingleColumnEstimatorWrapper
[
MinMaxScalerModel
,
MinMaxScaler
,
MinMaxScalerModel
] with
MinMaxParams
with
HasInputColumn
with
HasOutputColumn
class
MultilayerPerceptronClassifier
extends
SparkEstimatorWrapper
[
MultilayerPerceptronClassificationModel
,
org.apache.spark.ml.classification.MultilayerPerceptronClassifier
,
MultilayerPerceptronClassifierModel
] with
PredictorParams
with
HasLabelColumnParam
with
HasMaxIterationsParam
with
HasSeedParam
with
HasTolerance
class
NaiveBayes
extends
SparkEstimatorWrapper
[
NaiveBayesModel
,
org.apache.spark.ml.classification.NaiveBayes
,
NaiveBayesModel
] with
ProbabilisticClassifierParams
with
HasLabelColumnParam
class
PCAEstimator
extends
SparkSingleColumnEstimatorWrapper
[
PCAModel
,
PCA
,
PCAModel
]
class
QuantileDiscretizerEstimator
extends
SparkSingleColumnEstimatorWrapper
[
Bucketizer
,
QuantileDiscretizer
,
QuantileDiscretizerModel
]
class
RandomForestClassifier
extends
StringIndexingEstimatorWrapper
[
RandomForestClassificationModel
,
org.apache.spark.ml.classification.RandomForestClassifier
,
VanillaRandomForestClassificationModel
,
RandomForestClassificationModel
]
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
class
SingleStringIndexer
extends
SparkSingleColumnEstimatorWrapper
[
StringIndexerModel
,
StringIndexer
,
SingleColumnStringIndexerModel
]
class
StandardScalerEstimator
extends
SparkSingleColumnEstimatorWrapper
[
StandardScalerModel
,
StandardScaler
,
StandardScalerModel
]
class
StringIndexerEstimator
extends
SparkMultiColumnEstimatorWrapper
[
StringIndexerModel
,
StringIndexer
,
StringIndexerModel
,
SingleColumnStringIndexerModel
,
SingleStringIndexer
,
MultiColumnStringIndexerModel
]
class
VanillaDecisionTreeClassifier
extends
SparkEstimatorWrapper
[
DecisionTreeClassificationModel
,
org.apache.spark.ml.classification.DecisionTreeClassifier
,
VanillaDecisionTreeClassificationModel
] with
HasClassificationImpurityParam
with
DecisionTreeParams
with
ProbabilisticClassifierParams
with
HasLabelColumnParam
class
VanillaGBTClassifier
extends
SparkEstimatorWrapper
[
GBTClassificationModel
,
org.apache.spark.ml.classification.GBTClassifier
,
VanillaGBTClassificationModel
] with
GBTParams
with
HasClassificationImpurityParam
with
Logging
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
class
VectorIndexerEstimator
extends
SparkSingleColumnEstimatorWrapper
[
VectorIndexerModel
,
VectorIndexer
,
VectorIndexerModel
]
class
Word2VecEstimator
extends
SparkSingleColumnEstimatorWrapper
[
Word2VecModel
,
Word2Vec
,
Word2VecModel
] with
Word2VecParams
Value Members
object
GBTClassifier
extends
Serializable
object
GBTRegression
extends
Serializable
object
KMeans
extends
Serializable
object
LDA
extends
Serializable
object
NaiveBayes
extends
Serializable
Ungrouped