org.apache.spark.ml.feature

Class MinMaxScalerModel

java.lang.Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

org.apache.spark.ml.Model<MinMaxScalerModel>

org.apache.spark.ml.feature.MinMaxScalerModel

All Implemented Interfaces:

java.io.Serializable, Logging, Params, Identifiable, MLWritable

public class MinMaxScalerModel
extends Model<MinMaxScalerModel>
implements MLWritable

See Also:

Serialized Form

Method Summary

Methods

Modifier and Type	Method and Description
MinMaxScalerModel	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
double	getMax()
double	getMin()
static MinMaxScalerModel	load(java.lang.String path)
DoubleParam	max() upper bound after transformation, shared by all features Default: 1.0
DoubleParam	min() lower bound after transformation, shared by all features Default: 0.0
Vector	originalMax()
Vector	originalMin()
static MLReader<MinMaxScalerModel>	read()
MinMaxScalerModel	setInputCol(java.lang.String value)
MinMaxScalerModel	setMax(double value)
MinMaxScalerModel	setMin(double value)
MinMaxScalerModel	setOutputCol(java.lang.String value)
DataFrame	transform(DataFrame dataset) Transforms the input dataset.
StructType	transformSchema(StructType schema) :: DeveloperApi ::
java.lang.String	uid() An immutable unique ID for the object and its derivatives.
StructType	validateAndTransformSchema(StructType schema) Validates and transforms the input schema.
void	validateParams()
MLWriter	write() Returns an MLWriter instance for this ML instance.

Methods inherited from class org.apache.spark.ml.Model

hasParent, parent, setParent

Methods inherited from class org.apache.spark.ml.Transformer

transform, transform, transform

Methods inherited from class org.apache.spark.ml.PipelineStage

transformSchema

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString

Methods inherited from interface org.apache.spark.ml.util.MLWritable

save

Methods inherited from interface org.apache.spark.Logging

initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning

Method Detail

read

public static MLReader<MinMaxScalerModel> read()

load

public static MinMaxScalerModel load(java.lang.String path)

uid

public java.lang.String uid()

Description copied from interface: Identifiable

An immutable unique ID for the object and its derivatives.

Specified by:

uid in interface Identifiable

Returns:

(undocumented)

originalMin

public Vector originalMin()

originalMax

public Vector originalMax()

setInputCol

public MinMaxScalerModel setInputCol(java.lang.String value)

setOutputCol

public MinMaxScalerModel setOutputCol(java.lang.String value)

setMin

public MinMaxScalerModel setMin(double value)

setMax

public MinMaxScalerModel setMax(double value)

transform

public DataFrame transform(DataFrame dataset)

Description copied from class: Transformer

Transforms the input dataset.

Specified by:

transform in class Transformer

Parameters:

dataset - (undocumented)

Returns:

(undocumented)

transformSchema

public StructType transformSchema(StructType schema)

Description copied from class: PipelineStage

:: DeveloperApi ::

Derives the output schema from the input schema.

Specified by:

transformSchema in class PipelineStage

Parameters:

schema - (undocumented)

Returns:

(undocumented)

copy

public MinMaxScalerModel copy(ParamMap extra)

Description copied from interface: Params

Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly.

Specified by:

copy in interface Params

Specified by:

copy in class Model<MinMaxScalerModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)

See Also:

defaultCopy()

write

public MLWriter write()

Description copied from interface: MLWritable

Returns an MLWriter instance for this ML instance.

Specified by:

write in interface MLWritable

Returns:

(undocumented)

min

public DoubleParam min()

lower bound after transformation, shared by all features Default: 0.0

Returns:

(undocumented)

getMin

public double getMin()

max

public DoubleParam max()

upper bound after transformation, shared by all features Default: 1.0

Returns:

(undocumented)

getMax

public double getMax()

validateAndTransformSchema

public StructType validateAndTransformSchema(StructType schema)

Validates and transforms the input schema.

validateParams

public void validateParams()

Specified by:

validateParams in interface Params