public class SparkSVM extends hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SparkSVMModel,SparkSVMParameters,org.apache.spark.ml.spark.models.svm.SparkSVMModel.SparkSVMOutput>
| Constructor and Description |
|---|
SparkSVM(boolean startup_once,
org.apache.spark.h2o.H2OContext hc) |
SparkSVM(SparkSVMParameters parms,
org.apache.spark.h2o.H2OContext hc) |
| Modifier and Type | Method and Description |
|---|---|
hex.ModelCategory[] |
can_build() |
void |
init(boolean expensive) |
boolean |
isSupervised() |
int |
numSpecialCols() |
protected hex.ModelBuilder.Driver |
trainModelImpl() |
algoName, algos, builderVisibility, bulkBuildModels, checkDistributions, checkMemoryFootPrint_impl, checkMemoryFootPrint, checkResponseVariable, clearInitState, clearValidationErrors, computeCrossValidation, computePriorClassDistribution, cv_AssignFold, cv_buildModels, cv_computeAndSetOptimalParameters, cv_mainModelScores, cv_makeFramesAndBuilders, cv_makeWeights, cv_scoreCVModels, defaultKey, desiredChunks, dest, error_count, error, get, getSysProperty, getToEigenVec, hasFoldCol, hasOffsetCol, hasWeightCol, haveMojo, haveMojo, havePojo, havePojo, hide, ignoreBadColumns, ignoreConstColumns, ignoreInvalidColumns, ignoreStringColumns, ignoreUuidColumns, info, init_adaptFrameToTrain, init_getNClass, isClassifier, isStopped, javaName, logMe, make, message, nclasses, nFoldCV, nFoldWork, nModelsInParallel, nModelsInParallel, nModelsInParallel, paramName, rebalance, response, schemaDirectory, separateFeatureVecs, setTrain, shouldReorder, specialColNames, stop_requested, timeout, train, trainModel, trainModelNested, trainModelNested, trainModelOnH2ONode, valid, validationErrors, vresponse, warnpublic SparkSVM(boolean startup_once,
org.apache.spark.h2o.H2OContext hc)
public SparkSVM(SparkSVMParameters parms, org.apache.spark.h2o.H2OContext hc)
protected hex.ModelBuilder.Driver trainModelImpl()
trainModelImpl in class hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SparkSVMModel,SparkSVMParameters,org.apache.spark.ml.spark.models.svm.SparkSVMModel.SparkSVMOutput>public hex.ModelCategory[] can_build()
can_build in class hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SparkSVMModel,SparkSVMParameters,org.apache.spark.ml.spark.models.svm.SparkSVMModel.SparkSVMOutput>public boolean isSupervised()
isSupervised in class hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SparkSVMModel,SparkSVMParameters,org.apache.spark.ml.spark.models.svm.SparkSVMModel.SparkSVMOutput>public void init(boolean expensive)
init in class hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SparkSVMModel,SparkSVMParameters,org.apache.spark.ml.spark.models.svm.SparkSVMModel.SparkSVMOutput>public int numSpecialCols()
numSpecialCols in class hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SparkSVMModel,SparkSVMParameters,org.apache.spark.ml.spark.models.svm.SparkSVMModel.SparkSVMOutput>