org.apache.spark.ml.feature

Class OneHotEncoderModel

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

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

org.apache.spark.ml.feature.OneHotEncoderModel

All Implemented Interfaces:

java.io.Serializable, Logging, OneHotEncoderBase, Params, HasHandleInvalid, HasInputCols, HasOutputCols, Identifiable, MLWritable

public class OneHotEncoderModel
extends Model<OneHotEncoderModel>
implements OneHotEncoderBase, MLWritable

param: categorySizes Original number of categories for each feature being encoded. The array contains one value for each input column, in order.

See Also:

Serialized Form

Method Summary

Modifier and Type	Method and Description
int[]	categorySizes()
OneHotEncoderModel	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
static OneHotEncoderModel	load(String path)
static MLReader<OneHotEncoderModel>	read()
OneHotEncoderModel	setDropLast(boolean value)
OneHotEncoderModel	setHandleInvalid(String value)
OneHotEncoderModel	setInputCols(String[] values)
OneHotEncoderModel	setOutputCols(String[] values)
Dataset<Row>	transform(Dataset<?> dataset) Transforms the input dataset.
StructType	transformSchema(StructType schema) :: DeveloperApi ::
String	uid() An immutable unique ID for the object and its derivatives.
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 Object

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

Methods inherited from interface org.apache.spark.ml.feature.OneHotEncoderBase

dropLast, getDropLast, handleInvalid, validateAndTransformSchema

Methods inherited from interface org.apache.spark.ml.param.shared.HasHandleInvalid

getHandleInvalid

Methods inherited from interface org.apache.spark.ml.param.shared.HasInputCols

getInputCols, inputCols

Methods inherited from interface org.apache.spark.ml.param.shared.HasOutputCols

getOutputCols, outputCols

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.internal.Logging

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

Method Detail

read

public static MLReader<OneHotEncoderModel> read()

load

public static OneHotEncoderModel load(String path)

uid

public 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)

categorySizes

public int[] categorySizes()

setInputCols

public OneHotEncoderModel setInputCols(String[] values)

setOutputCols

public OneHotEncoderModel setOutputCols(String[] values)

setDropLast

public OneHotEncoderModel setDropLast(boolean value)

setHandleInvalid

public OneHotEncoderModel setHandleInvalid(String value)

transformSchema

public StructType transformSchema(StructType schema)

Description copied from class: PipelineStage

:: DeveloperApi ::

Check transform validity and derive the output schema from the input schema.

We check validity for interactions between parameters during transformSchema and raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled by Param.validate().

Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.

Specified by:

transformSchema in class PipelineStage

Parameters:

schema - (undocumented)

Returns:

(undocumented)

transform

public Dataset<Row> transform(Dataset<?> dataset)

Description copied from class: Transformer

Transforms the input dataset.

Specified by:

transform in class Transformer

Parameters:

dataset - (undocumented)

Returns:

(undocumented)

copy

public OneHotEncoderModel 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. See defaultCopy().

Specified by:

copy in interface Params

Specified by:

copy in class Model<OneHotEncoderModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)

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)