public class IndependentGaussianTrainer extends org.apache.spark.ml.Estimator<IndependentGaussianModel>
| Constructor and Description |
|---|
IndependentGaussianTrainer(java.lang.String inputCol,
double decisionThreshold) |
| Modifier and Type | Method and Description |
|---|---|
org.apache.spark.ml.Estimator |
copy(org.apache.spark.ml.param.ParamMap paramMap) |
IndependentGaussianModel |
fit(org.apache.spark.sql.Dataset dataset) |
org.apache.spark.sql.types.StructType |
transformSchema(org.apache.spark.sql.types.StructType structType) |
java.lang.String |
uid() |
$, clear, copyValues, copyValues$default$2, defaultCopy, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, initializeLogIfNecessary, isDefined, isSet, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, org$apache$spark$internal$Logging$$log__$eq, org$apache$spark$internal$Logging$$log_, org$apache$spark$ml$param$Params$_setter_$org$apache$spark$ml$param$Params$$defaultParamMap_$eq, org$apache$spark$ml$param$Params$_setter_$org$apache$spark$ml$param$Params$$paramMap_$eq, org$apache$spark$ml$param$Params$$defaultParamMap, org$apache$spark$ml$param$Params$$paramMap, params, set, set, set, setDefault, setDefault, toString, transformSchemapublic IndependentGaussianTrainer(java.lang.String inputCol,
double decisionThreshold)
public IndependentGaussianModel fit(org.apache.spark.sql.Dataset dataset)
fit in class org.apache.spark.ml.Estimator<IndependentGaussianModel>public org.apache.spark.sql.types.StructType transformSchema(org.apache.spark.sql.types.StructType structType)
transformSchema in class org.apache.spark.ml.PipelineStagepublic org.apache.spark.ml.Estimator copy(org.apache.spark.ml.param.ParamMap paramMap)
copy in interface org.apache.spark.ml.param.Paramscopy in class org.apache.spark.ml.Estimator<IndependentGaussianModel>public java.lang.String uid()