public class ALSModel extends Model<ALSModel> implements ALSParams
| Constructor and Description |
|---|
ALSModel(ALS parent,
ParamMap fittingParamMap,
int k,
RDD<scala.Tuple2<Object,float[]>> userFactors,
RDD<scala.Tuple2<Object,float[]>> itemFactors) |
| Modifier and Type | Method and Description |
|---|---|
ParamMap |
fittingParamMap()
Fitting parameters, such that parent.fit(..., fittingParamMap) could reproduce the model.
|
ALS |
parent()
The parent estimator that produced this model.
|
ALSModel |
setPredictionCol(String value) |
DataFrame |
transform(DataFrame dataset,
ParamMap paramMap)
Transforms the dataset with provided parameter map as additional parameters.
|
StructType |
transformSchema(StructType schema,
ParamMap paramMap)
:: DeveloperApi ::
|
transform, transformequals, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitalpha, getAlpha, getImplicitPrefs, getItemCol, getNonnegative, getNumItemBlocks, getNumUserBlocks, getRank, getRatingCol, getUserCol, implicitPrefs, itemCol, nonnegative, numItemBlocks, numUserBlocks, rank, ratingCol, userCol, validateAndTransformSchemagetMaxIter, maxItergetRegParam, regParamgetPredictionCol, predictionColcheckpointInterval, getCheckpointIntervaladdOutputColumn, checkInputColumn, explainParams, get, getParam, isSet, paramMap, params, set, set, validate, validateuidinitializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarningpublic ALS parent()
Modelpublic ParamMap fittingParamMap()
ModelfittingParamMap in class Model<ALSModel>public ALSModel setPredictionCol(String value)
public DataFrame transform(DataFrame dataset, ParamMap paramMap)
Transformertransform in class Transformerdataset - input datasetparamMap - additional parameters, overwrite embedded paramspublic StructType transformSchema(StructType schema, ParamMap paramMap)
PipelineStageDerives the output schema from the input schema and parameters. The schema describes the columns and types of the data.
transformSchema in class PipelineStageschema - Input schema to this stageparamMap - Parameters passed to this stage