public final class VectorSlicer extends Transformer implements HasInputCol, HasOutputCol, DefaultParamsWritable
The subset of features can be specified with either indices (setIndices())
or names (setNames()). At least one feature must be selected. Duplicate features
are not allowed, so there can be no overlap between selected indices and names.
The output vector will order features with the selected indices first (in the order given), followed by the selected names (in the order given).
| Constructor and Description |
|---|
VectorSlicer() |
VectorSlicer(String uid) |
| Modifier and Type | Method and Description |
|---|---|
VectorSlicer |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params.
|
int[] |
getIndices() |
String[] |
getNames() |
IntArrayParam |
indices()
An array of indices to select features from a vector column.
|
Param<String> |
inputCol()
Param for input column name.
|
static VectorSlicer |
load(String path) |
StringArrayParam |
names()
An array of feature names to select features from a vector column.
|
Param<String> |
outputCol()
Param for output column name.
|
static MLReader<T> |
read() |
VectorSlicer |
setIndices(int[] value) |
VectorSlicer |
setInputCol(String value) |
VectorSlicer |
setNames(String[] value) |
VectorSlicer |
setOutputCol(String value) |
String |
toString() |
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, transformparamsgetInputColgetOutputColclear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwnwritesave$init$, 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_, uninitializepublic static VectorSlicer load(String path)
public static MLReader<T> read()
public final Param<String> outputCol()
HasOutputColoutputCol in interface HasOutputColpublic final Param<String> inputCol()
HasInputColinputCol in interface HasInputColpublic String uid()
Identifiableuid in interface Identifiablepublic IntArrayParam indices()
names.
Default: Empty arraypublic int[] getIndices()
public VectorSlicer setIndices(int[] value)
public StringArrayParam names()
Attributes.
There can be no overlap with indices.
Default: Empty Arraypublic String[] getNames()
public VectorSlicer setNames(String[] value)
public VectorSlicer setInputCol(String value)
public VectorSlicer setOutputCol(String value)
public Dataset<Row> transform(Dataset<?> dataset)
Transformertransform in class Transformerdataset - (undocumented)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 PipelineStageschema - (undocumented)public VectorSlicer copy(ParamMap extra)
ParamsdefaultCopy().copy in interface Paramscopy in class Transformerextra - (undocumented)public String toString()
toString in interface IdentifiabletoString in class Object