public class StringIndexer extends Estimator<StringIndexerModel> implements StringIndexerBase, DefaultParamsWritable
stringOrderType
.
IndexToString
for the inverse transformation,
Serialized FormConstructor and Description |
---|
StringIndexer() |
StringIndexer(String uid) |
Modifier and Type | Method and Description |
---|---|
StringIndexer |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params.
|
StringIndexerModel |
fit(Dataset<?> dataset)
Fits a model to the input data.
|
static StringIndexer |
load(String path) |
static MLReader<T> |
read() |
StringIndexer |
setHandleInvalid(String value) |
StringIndexer |
setInputCol(String value) |
StringIndexer |
setOutputCol(String value) |
StringIndexer |
setStringOrderType(String value) |
StructType |
transformSchema(StructType schema)
:: DeveloperApi ::
|
String |
uid()
An immutable unique ID for the object and its derivatives.
|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
getStringOrderType, handleInvalid, stringOrderType, validateAndTransformSchema
getHandleInvalid
getInputCol, inputCol
getOutputCol, outputCol
clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn
toString
write
save
initializeLogging, initializeLogIfNecessary, initializeLogIfNecessary, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning
public StringIndexer(String uid)
public StringIndexer()
public static StringIndexer load(String path)
public static MLReader<T> read()
public String uid()
Identifiable
uid
in interface Identifiable
public StringIndexer setHandleInvalid(String value)
public StringIndexer setStringOrderType(String value)
public StringIndexer setInputCol(String value)
public StringIndexer setOutputCol(String value)
public StringIndexerModel fit(Dataset<?> dataset)
Estimator
fit
in class Estimator<StringIndexerModel>
dataset
- (undocumented)public StructType transformSchema(StructType schema)
PipelineStage
Check transform validity and derive the output schema from the input schema.
We check validity for interactions between parameters during transformSchema
and
raise an exception if any parameter value is invalid. Parameter value checks which
do not depend on other parameters are handled by Param.validate()
.
Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.
transformSchema
in class PipelineStage
schema
- (undocumented)public StringIndexer copy(ParamMap extra)
Params
defaultCopy()
.copy
in interface Params
copy
in class Estimator<StringIndexerModel>
extra
- (undocumented)