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, transformtransformSchemaclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitclear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn, validateParamstoStringinitializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarningpublic StringIndexerModel(java.lang.String uid,
java.lang.String[] labels)
public StringIndexerModel(java.lang.String[] labels)
public java.lang.String uid()
Identifiableuid in interface Identifiablepublic java.lang.String[] labels()
public StringIndexerModel setInputCol(java.lang.String value)
public StringIndexerModel setOutputCol(java.lang.String value)
public DataFrame transform(DataFrame dataset)
Transformertransform in class Transformerdataset - (undocumented)public StructType transformSchema(StructType schema)
PipelineStageDerives the output schema from the input schema.
transformSchema in class PipelineStageschema - (undocumented)public StringIndexerModel copy(ParamMap extra)
Paramscopy in interface Paramscopy in class Model<StringIndexerModel>extra - (undocumented)defaultCopy()public StructType validateAndTransformSchema(StructType schema)