public class IndexToString extends Transformer implements HasInputCol, HasOutputCol, DefaultParamsWritable
Transformer
that maps a column of indices back to a new column of corresponding
string values.
The index-string mapping is either from the ML attributes of the input column,
or from user-supplied labels (which take precedence over ML attributes).
StringIndexer
for converting strings into indices,
Serialized FormConstructor and Description |
---|
IndexToString() |
IndexToString(String uid) |
Modifier and Type | Method and Description |
---|---|
IndexToString |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params.
|
String[] |
getLabels() |
Param<String> |
inputCol()
Param for input column name.
|
StringArrayParam |
labels()
Optional param for array of labels specifying index-string mapping.
|
static IndexToString |
load(String path) |
Param<String> |
outputCol()
Param for output column name.
|
static MLReader<T> |
read() |
IndexToString |
setInputCol(String value) |
IndexToString |
setLabels(String[] value) |
IndexToString |
setOutputCol(String value) |
Dataset<Row> |
transform(Dataset<?> dataset)
Transforms the input dataset.
|
StructType |
transformSchema(StructType schema)
Check transform validity and derive the output schema from the input schema.
|
String |
uid()
An immutable unique ID for the object and its derivatives.
|
transform, transform, transform
params
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
getInputCol
getOutputCol
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
$init$, initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, initLock, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, org$apache$spark$internal$Logging$$log__$eq, org$apache$spark$internal$Logging$$log_, uninitialize
public IndexToString(String uid)
public IndexToString()
public static IndexToString load(String path)
public static MLReader<T> read()
public final Param<String> outputCol()
HasOutputCol
outputCol
in interface HasOutputCol
public final Param<String> inputCol()
HasInputCol
inputCol
in interface HasInputCol
public String uid()
Identifiable
uid
in interface Identifiable
public IndexToString setInputCol(String value)
public IndexToString setOutputCol(String value)
public IndexToString setLabels(String[] value)
public final StringArrayParam labels()
Default: Not specified, in which case inputCol
metadata is used for labels.
public final String[] getLabels()
public StructType transformSchema(StructType schema)
PipelineStage
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 Dataset<Row> transform(Dataset<?> dataset)
Transformer
transform
in class Transformer
dataset
- (undocumented)public IndexToString copy(ParamMap extra)
Params
defaultCopy()
.copy
in interface Params
copy
in class Transformer
extra
- (undocumented)