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.
param: labels Ordered list of labels, corresponding to indices to be assigned
Constructor and Description |
---|
StringIndexerModel(java.lang.String[] labels) |
StringIndexerModel(java.lang.String uid,
java.lang.String[] labels) |
Modifier and Type | Method and Description |
---|---|
StringIndexerModel |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params.
|
java.lang.String[] |
labels() |
StringIndexerModel |
setInputCol(java.lang.String value) |
StringIndexerModel |
setOutputCol(java.lang.String value) |
DataFrame |
transform(DataFrame dataset)
Transforms the input dataset.
|
StructType |
transformSchema(StructType schema)
:: DeveloperApi ::
|
java.lang.String |
uid()
An immutable unique ID for the object and its derivatives.
|
StructType |
validateAndTransformSchema(StructType schema)
Validates and transforms the input schema.
|
transform, transform, transform
transformSchema
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn, validateParams
toString
initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning
public StringIndexerModel(java.lang.String uid, java.lang.String[] labels)
public StringIndexerModel(java.lang.String[] labels)
public java.lang.String uid()
Identifiable
uid
in interface Identifiable
public java.lang.String[] labels()
public StringIndexerModel setInputCol(java.lang.String value)
public StringIndexerModel setOutputCol(java.lang.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 StringIndexerModel copy(ParamMap extra)
Params
copy
in interface Params
copy
in class Model<StringIndexerModel>
extra
- (undocumented)defaultCopy()
public StructType validateAndTransformSchema(StructType schema)