public class HashingTF extends Transformer
Modifier and Type | Method and Description |
---|---|
int |
getNumFeatures() |
IntParam |
numFeatures()
Number of features.
|
HashingTF |
setInputCol(String value) |
HashingTF |
setNumFeatures(int value) |
HashingTF |
setOutputCol(String value) |
DataFrame |
transform(DataFrame dataset)
Transforms the input dataset.
|
StructType |
transformSchema(StructType schema)
:: DeveloperApi ::
|
String |
uid() |
copy, transform, transform, transform
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
clear, copyValues, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, setDefault, shouldOwn, validateParams
initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning
public String uid()
public HashingTF setInputCol(String value)
public HashingTF setOutputCol(String value)
public IntParam numFeatures()
public int getNumFeatures()
public HashingTF setNumFeatures(int value)
public DataFrame transform(DataFrame dataset)
Transformer
transform
in class Transformer
dataset
- (undocumented)public StructType transformSchema(StructType schema)
PipelineStage
Derives the output schema from the input schema.
transformSchema
in class PipelineStage
schema
- (undocumented)