org.apache.spark.ml.feature

Class IDF

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Estimator<IDFModel>

org.apache.spark.ml.feature.IDF

All Implemented Interfaces:

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

public final class IDF
extends Estimator<IDFModel>
implements DefaultParamsWritable

Compute the Inverse Document Frequency (IDF) given a collection of documents.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
IDF()
IDF(String uid)

Method Summary

Methods

Modifier and Type	Method and Description
static Params	clear(Param<?> param)
IDF	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
static String	explainParam(Param<?> param)
static String	explainParams()
static ParamMap	extractParamMap()
static ParamMap	extractParamMap(ParamMap extra)
IDFModel	fit(Dataset<?> dataset) Fits a model to the input data.
static <T> scala.Option<T>	get(Param<T> param)
static <T> scala.Option<T>	getDefault(Param<T> param)
static String	getInputCol()
String	getInputCol()
static int	getMinDocFreq()
int	getMinDocFreq()
static <T> T	getOrDefault(Param<T> param)
static String	getOutputCol()
String	getOutputCol()
static Param<Object>	getParam(String paramName)
static <T> boolean	hasDefault(Param<T> param)
static boolean	hasParam(String paramName)
static Param<String>	inputCol()
Param<String>	inputCol() Param for input column name.
static boolean	isDefined(Param<?> param)
static boolean	isSet(Param<?> param)
static IDF	load(String path)
static IntParam	minDocFreq()
IntParam	minDocFreq() The minimum number of documents in which a term should appear.
static Param<String>	outputCol()
Param<String>	outputCol() Param for output column name.
static Param<?>[]	params()
static void	save(String path)
static <T> Params	set(Param<T> param, T value)
IDF	setInputCol(String value)
IDF	setMinDocFreq(int value)
IDF	setOutputCol(String value)
static String	toString()
StructType	transformSchema(StructType schema) :: DeveloperApi ::
String	uid() An immutable unique ID for the object and its derivatives.
StructType	validateAndTransformSchema(StructType schema) Validate and transform the input schema.
static MLWriter	write()

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

fit, fit, fit, fit

Methods inherited from class Object

equals, 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.DefaultParamsWritable

write

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

save

Constructor Detail

IDF

public IDF(String uid)

IDF

public IDF()

Method Detail

load

public static IDF load(String path)

toString

public static String toString()

params

public static Param<?>[] params()

explainParam

public static String explainParam(Param<?> param)

explainParams

public static String explainParams()

isSet

public static final boolean isSet(Param<?> param)

isDefined

public static final boolean isDefined(Param<?> param)

hasParam

public static boolean hasParam(String paramName)

getParam

public static Param<Object> getParam(String paramName)

set

public static final <T> Params set(Param<T> param,
             T value)

get

public static final <T> scala.Option<T> get(Param<T> param)

clear

public static final Params clear(Param<?> param)

getOrDefault

public static final <T> T getOrDefault(Param<T> param)

getDefault

public static final <T> scala.Option<T> getDefault(Param<T> param)

hasDefault

public static final <T> boolean hasDefault(Param<T> param)

extractParamMap

public static final ParamMap extractParamMap(ParamMap extra)

extractParamMap

public static final ParamMap extractParamMap()

inputCol

public static final Param<String> inputCol()

getInputCol

public static final String getInputCol()

outputCol

public static final Param<String> outputCol()

getOutputCol

public static final String getOutputCol()

minDocFreq

public static final IntParam minDocFreq()

getMinDocFreq

public static int getMinDocFreq()

save

public static void save(String path)
                 throws java.io.IOException

Throws:

java.io.IOException

write

public static MLWriter write()

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)

setInputCol

public IDF setInputCol(String value)

setOutputCol

public IDF setOutputCol(String value)

setMinDocFreq

public IDF setMinDocFreq(int value)

fit

public IDFModel fit(Dataset<?> dataset)

Description copied from class: Estimator

Fits a model to the input data.

Specified by:

fit in class Estimator<IDFModel>

Parameters:

dataset - (undocumented)

Returns:

(undocumented)

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)

copy

public IDF 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 Estimator<IDFModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)

minDocFreq

public IntParam minDocFreq()

The minimum number of documents in which a term should appear. Default: 0

Returns:

(undocumented)

getMinDocFreq

public int getMinDocFreq()

validateAndTransformSchema

public StructType validateAndTransformSchema(StructType schema)

Validate and transform the input schema.

Parameters:

schema - (undocumented)

Returns:

(undocumented)

inputCol

public Param<String> inputCol()

Param for input column name.

Returns:

(undocumented)

getInputCol

public String getInputCol()

outputCol

public Param<String> outputCol()

Param for output column name.

Returns:

(undocumented)

getOutputCol

public String getOutputCol()