public class StandardScaler$ extends Object implements scala.Serializable
Modifier and Type | Field and Description |
---|---|
static StandardScaler$ |
MODULE$
Static reference to the singleton instance of this Scala object.
|
Constructor and Description |
---|
StandardScaler$() |
Modifier and Type | Method and Description |
---|---|
StandardScaler |
apply() |
Object |
fitLabeledVectorStandardScaler()
Trains the
StandardScaler by learning the mean and standard deviation of the training
data which is of type LabeledVector . |
<T extends Vector> |
fitLabelVectorTupleStandardScaler(BreezeVectorConverter<T> evidence$1,
TypeInformation<T> evidence$2,
scala.reflect.ClassTag<T> evidence$3)
Trains the
StandardScaler by learning the mean and standard deviation of the training
data which is of type (Vector , Double). |
<T extends Vector> |
fitVectorStandardScaler()
Trains the
StandardScaler by learning the mean and
standard deviation of the training data. |
StandardScaler.StandardScalerTransformOperation<LabeledVector> |
transformLabeledVector()
TransformOperation to transform LabeledVector . |
<T extends Vector> |
transformTupleVectorDouble(BreezeVectorConverter<T> evidence$10,
TypeInformation<T> evidence$11,
scala.reflect.ClassTag<T> evidence$12)
|
<T extends Vector> |
transformVectors(BreezeVectorConverter<T> evidence$7,
TypeInformation<T> evidence$8,
scala.reflect.ClassTag<T> evidence$9)
TransformOperation to transform Vector types |
public static final StandardScaler$ MODULE$
public StandardScaler apply()
public <T extends Vector> Object fitVectorStandardScaler()
StandardScaler
by learning the mean and
standard deviation of the training data. These values are used inthe transform step
to transform the given input data.
public Object fitLabeledVectorStandardScaler()
StandardScaler
by learning the mean and standard deviation of the training
data which is of type LabeledVector
. The mean and standard deviation are used to
transform the given input data.
public <T extends Vector> Object fitLabelVectorTupleStandardScaler(BreezeVectorConverter<T> evidence$1, TypeInformation<T> evidence$2, scala.reflect.ClassTag<T> evidence$3)
StandardScaler
by learning the mean and standard deviation of the training
data which is of type (Vector
, Double). The mean and standard deviation are used to
transform the given input data.
evidence$1
- (undocumented)evidence$2
- (undocumented)evidence$3
- (undocumented)public <T extends Vector> StandardScaler.StandardScalerTransformOperation<T> transformVectors(BreezeVectorConverter<T> evidence$7, TypeInformation<T> evidence$8, scala.reflect.ClassTag<T> evidence$9)
TransformOperation
to transform Vector
types
evidence$7
- (undocumented)evidence$8
- (undocumented)evidence$9
- (undocumented)public <T extends Vector> StandardScaler.StandardScalerTransformOperation<scala.Tuple2<T,Object>> transformTupleVectorDouble(BreezeVectorConverter<T> evidence$10, TypeInformation<T> evidence$11, scala.reflect.ClassTag<T> evidence$12)
evidence$10
- (undocumented)evidence$11
- (undocumented)evidence$12
- (undocumented)public StandardScaler.StandardScalerTransformOperation<LabeledVector> transformLabeledVector()
TransformOperation
to transform LabeledVector
.
Copyright © 2014–2018 The Apache Software Foundation. All rights reserved.