public class StringIndexerModel extends Model<StringIndexerModel>
StringIndexer
.
NOTE: During transformation, if the input column does not exist,
StringIndexerModel.transform
would return the input dataset unmodified.
This is a temporary fix for the case when target labels do not exist during prediction.Modifier and Type | Method and Description |
---|---|
StringIndexerModel |
setInputCol(String value) |
StringIndexerModel |
setOutputCol(String value) |
DataFrame |
transform(DataFrame dataset)
Transforms the input dataset.
|
StructType |
transformSchema(StructType schema)
:: DeveloperApi ::
|
String |
uid() |
StructType |
validateAndTransformSchema(StructType schema)
Validates and transforms the input schema.
|
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 StringIndexerModel setInputCol(String value)
public StringIndexerModel 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 StructType validateAndTransformSchema(StructType schema)