public class Interaction extends Transformer implements HasInputCols, HasOutputCol, DefaultParamsWritable
For example, given the input feature values Double(2) and Vector(3, 4), the output would be
Vector(6, 8) if all input features were numeric. If the first feature was instead nominal
with four categories, the output would then be Vector(0, 0, 0, 0, 3, 4, 0, 0).
| Constructor and Description |
|---|
Interaction() |
Interaction(String uid) |
| Modifier and Type | Method and Description |
|---|---|
Interaction |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params.
|
StringArrayParam |
inputCols()
Param for input column names.
|
static Interaction |
load(String path) |
Param<String> |
outputCol()
Param for output column name.
|
static MLReader<T> |
read() |
Interaction |
setInputCols(String[] values) |
Interaction |
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, transformparamsgetInputColsgetOutputColclear, 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 Interaction load(String path)
public static MLReader<T> read()
public final Param<String> outputCol()
HasOutputColoutputCol in interface HasOutputColpublic final StringArrayParam inputCols()
HasInputColsinputCols in interface HasInputColspublic String uid()
Identifiableuid in interface Identifiablepublic Interaction setInputCols(String[] values)
public Interaction setOutputCol(String value)
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 Dataset<Row> transform(Dataset<?> dataset)
Transformertransform in class Transformerdataset - (undocumented)public Interaction copy(ParamMap extra)
ParamsdefaultCopy().copy in interface Paramscopy in class Transformerextra - (undocumented)public String toString()
toString in interface IdentifiabletoString in class Object