ai
.
deepsense
.
deeplang
.
doperables
.
spark
.
wrappers
models
package
models
Visibility
Public
All
Type Members
class
AFTSurvivalRegressionModel
extends
SparkModelWrapper
[
org.apache.spark.ml.regression.AFTSurvivalRegressionModel
,
AFTSurvivalRegression
] with
PredictorParams
with
AFTSurvivalRegressionParams
class
ALSModel
extends
SparkModelWrapper
[
org.apache.spark.ml.recommendation.ALSModel
,
ALS
] with
HasItemColumnParam
with
HasPredictionColumnCreatorParam
with
HasUserColumnParam
class
ChiSqSelectorModel
extends
SparkModelWrapper
[
org.apache.spark.ml.feature.ChiSqSelectorModel
,
ChiSqSelector
] with
HasFeaturesColumnParam
with
HasOutputColumn
with
HasLabelColumnParam
class
CountVectorizerModel
extends
SparkSingleColumnModelWrapper
[
org.apache.spark.ml.feature.CountVectorizerModel
,
CountVectorizer
] with
HasMinTermsFrequencyParam
class
DecisionTreeClassificationModel
extends
StringIndexingWrapperModel
[
org.apache.spark.ml.classification.DecisionTreeClassificationModel
,
DecisionTreeClassifier
]
class
DecisionTreeRegressionModel
extends
SparkModelWrapper
[
org.apache.spark.ml.regression.DecisionTreeRegressionModel
,
DecisionTreeRegressor
] with
HasFeaturesColumnParam
with
HasPredictionColumnCreatorParam
with
LoadableWithFallback
[
org.apache.spark.ml.regression.DecisionTreeRegressionModel
,
DecisionTreeRegressor
]
class
GBTClassificationModel
extends
StringIndexingWrapperModel
[
org.apache.spark.ml.classification.GBTClassificationModel
,
GBTClassifier
]
class
GBTRegressionModel
extends
SparkModelWrapper
[
org.apache.spark.ml.regression.GBTRegressionModel
,
GBTRegressor
] with
LoadableWithFallback
[
org.apache.spark.ml.regression.GBTRegressionModel
,
GBTRegressor
] with
PredictorParams
class
IDFModel
extends
SparkSingleColumnModelWrapper
[
org.apache.spark.ml.feature.IDFModel
,
IDF
]
class
IsotonicRegressionModel
extends
SparkModelWrapper
[
org.apache.spark.ml.regression.IsotonicRegressionModel
,
IsotonicRegression
] with
PredictorParams
with
HasFeatureIndexParam
class
KMeansModel
extends
SparkModelWrapper
[
org.apache.spark.ml.clustering.KMeansModel
,
KMeans
]
class
LDAModel
extends
SparkModelWrapper
[
org.apache.spark.ml.clustering.LDAModel
,
LDA
] with
HasFeaturesColumnParam
with
HasSeedParam
class
LinearRegressionModel
extends
SparkModelWrapper
[
org.apache.spark.ml.regression.LinearRegressionModel
,
LinearRegression
] with
PredictorParams
class
LogisticRegressionModel
extends
SparkModelWrapper
[
org.apache.spark.ml.classification.LogisticRegressionModel
,
LogisticRegression
] with
ProbabilisticClassifierParams
with
HasThreshold
class
MinMaxScalerModel
extends
SparkSingleColumnModelWrapper
[
org.apache.spark.ml.feature.MinMaxScalerModel
,
MinMaxScaler
] with
MinMaxParams
case class
MultiColumnStringIndexerModel
()
extends
MultiColumnModel
[
org.apache.spark.ml.feature.StringIndexerModel
,
StringIndexer
,
SingleColumnStringIndexerModel
] with
StringIndexerModel
with
Product
with
Serializable
class
MultilayerPerceptronClassifierModel
extends
SparkModelWrapper
[
MultilayerPerceptronClassificationModel
,
MultilayerPerceptronClassifier
] with
LoadableWithFallback
[
MultilayerPerceptronClassificationModel
,
MultilayerPerceptronClassifier
] with
PredictorParams
class
NaiveBayesModel
extends
SparkModelWrapper
[
org.apache.spark.ml.classification.NaiveBayesModel
,
NaiveBayes
] with
ProbabilisticClassifierParams
class
PCAModel
extends
SparkSingleColumnModelWrapper
[
org.apache.spark.ml.feature.PCAModel
,
PCA
]
class
QuantileDiscretizerModel
extends
SparkSingleColumnModelWrapper
[
Bucketizer
,
QuantileDiscretizer
]
class
RandomForestClassificationModel
extends
StringIndexingWrapperModel
[
org.apache.spark.ml.classification.RandomForestClassificationModel
,
RandomForestClassifier
]
class
RandomForestRegressionModel
extends
SparkModelWrapper
[
org.apache.spark.ml.regression.RandomForestRegressionModel
,
RandomForestRegressor
] with
LoadableWithFallback
[
org.apache.spark.ml.regression.RandomForestRegressionModel
,
RandomForestRegressor
] with
PredictorParams
class
SingleColumnStringIndexerModel
extends
SparkSingleColumnModelWrapper
[
org.apache.spark.ml.feature.StringIndexerModel
,
StringIndexer
] with
StringIndexerModel
class
StandardScalerModel
extends
SparkSingleColumnModelWrapper
[
org.apache.spark.ml.feature.StandardScalerModel
,
StandardScaler
]
trait
StringIndexerModel
extends
Transformer
class
VanillaDecisionTreeClassificationModel
extends
SparkModelWrapper
[
org.apache.spark.ml.classification.DecisionTreeClassificationModel
,
DecisionTreeClassifier
] with
ProbabilisticClassifierParams
with
LoadableWithFallback
[
org.apache.spark.ml.classification.DecisionTreeClassificationModel
,
DecisionTreeClassifier
]
class
VanillaGBTClassificationModel
extends
SparkModelWrapper
[
org.apache.spark.ml.classification.GBTClassificationModel
,
GBTClassifier
] with
LoadableWithFallback
[
org.apache.spark.ml.classification.GBTClassificationModel
,
GBTClassifier
] with
PredictorParams
with
Logging
class
VanillaRandomForestClassificationModel
extends
SparkModelWrapper
[
org.apache.spark.ml.classification.RandomForestClassificationModel
,
RandomForestClassifier
] with
LoadableWithFallback
[
org.apache.spark.ml.classification.RandomForestClassificationModel
,
RandomForestClassifier
] with
ProbabilisticClassifierParams
class
VectorIndexerModel
extends
SparkSingleColumnModelWrapper
[
org.apache.spark.ml.feature.VectorIndexerModel
,
VectorIndexer
]
class
Word2VecModel
extends
SparkSingleColumnModelWrapper
[
org.apache.spark.ml.feature.Word2VecModel
,
Word2Vec
] with
Word2VecParams
Value Members
object
MultiColumnStringIndexerModel
extends
Serializable
Ungrouped