public class StandardScalerModel extends Model<StandardScalerModel>
Modifier and Type | Method and Description |
---|---|
StandardScalerModel |
setInputCol(String value) |
StandardScalerModel |
setOutputCol(String value) |
DataFrame |
transform(DataFrame dataset)
Transforms the input dataset.
|
StructType |
transformSchema(StructType schema)
:: DeveloperApi ::
|
String |
uid() |
BooleanParam |
withMean()
Centers the data with mean before scaling.
|
BooleanParam |
withStd()
Scales the data to unit standard deviation.
|
transform, transform, transform
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
clear, copy, 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 StandardScalerModel setInputCol(String value)
public StandardScalerModel setOutputCol(String 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)public BooleanParam withMean()
public BooleanParam withStd()