public class Generic extends hex.ModelBuilder<GenericModel,GenericModelParameters,GenericModelOutput>
GenericModel.
 Only H2O Mojos are currently supported._coordinator, _desc, _eventPublisher, _fold, _input_parms, _job, _messages, _nclass, _offset, _orig_projection_array, _origDomains, _origNames, _origTrain, _parms, _priorClassDist, _removedCols, _response, _result, _startUpOnceModelBuilder, _train, _treatment, _valid, _vresponse, _weights| Constructor and Description | 
|---|
Generic(boolean startup_once)  | 
Generic(GenericModelParameters genericParameters)  | 
| Modifier and Type | Method and Description | 
|---|---|
hex.ModelBuilder.BuilderVisibility | 
builderVisibility()  | 
hex.ModelCategory[] | 
can_build()  | 
boolean | 
haveMojo()  | 
static GenericModel | 
importMojoModel(java.lang.String location,
               boolean disableAlgoCheck)
Convenience method for importing MOJO into H2O. 
 | 
static GenericModel | 
importMojoModel(java.net.URI location)  | 
void | 
init(boolean expensive)  | 
boolean | 
isSupervised()  | 
protected hex.ModelBuilder.Driver | 
trainModelImpl()  | 
algoName, algos, canLearnFromNAs, checkCustomMetricForEarlyStopping, checkDistributions, checkEarlyStoppingReproducibility, checkMemoryFootPrint_impl, checkMemoryFootPrint, checkResponseVariable, clearInitState, clearValidationErrors, computeCrossValidation, computePriorClassDistribution, cv_buildModels, cv_canBuildMainModelInParallel, cv_computeAndSetOptimalParameters, cv_initStoppingParameters, cv_mainModelScores, cv_makeAggregateModelMetrics, cv_scoreCVModels, cv_updateOptimalParameters, defaultKey, desiredChunks, dest, error_count, error, get, getMessagesByFieldAndSeverity, getName, getSysProperty, getToEigenVec, hasFoldCol, hasOffsetCol, hasTreatmentCol, hasWeightCol, havePojo, hide, ignoreBadColumns, ignoreConstColumns, ignoreInvalidColumns, ignoreStringColumns, ignoreUuidColumns, info, init_adaptFrameToTrain, init_getNClass, initWorkspace, isClassifier, isResponseOptional, isStopped, javaName, logMe, make, make, make, makeCVMetrics, makeCVModelBuilder, makeParameters, makePojoWriter, message, nclasses, nFoldCV, nFoldWork, nModelsInParallel, nModelsInParallel, nModelsInParallel, numSpecialCols, paramName, raiseReproducibilityWarning, rebalance, remainingTimeSecs, response, schemaDirectory, separateFeatureVecs, setMaxRuntimeSecsForMainModel, setTrain, setValid, shouldReorder, smallDataSize, stop_requested, timeout, train, trainModel, trainModel, trainModelNested, trainModelNested, trainModelOnH2ONode, valid, validateBinaryResponse, validateStoppingMetric, validationErrors, validationWarnings, vresponse, warnpublic Generic(GenericModelParameters genericParameters)
public Generic(boolean startup_once)
public void init(boolean expensive)
init in class hex.ModelBuilder<GenericModel,GenericModelParameters,GenericModelOutput>protected hex.ModelBuilder.Driver trainModelImpl()
trainModelImpl in class hex.ModelBuilder<GenericModel,GenericModelParameters,GenericModelOutput>public hex.ModelCategory[] can_build()
can_build in class hex.ModelBuilder<GenericModel,GenericModelParameters,GenericModelOutput>public boolean haveMojo()
haveMojo in class hex.ModelBuilder<GenericModel,GenericModelParameters,GenericModelOutput>public boolean isSupervised()
isSupervised in class hex.ModelBuilder<GenericModel,GenericModelParameters,GenericModelOutput>public hex.ModelBuilder.BuilderVisibility builderVisibility()
builderVisibility in class hex.ModelBuilder<GenericModel,GenericModelParameters,GenericModelOutput>public static GenericModel importMojoModel(java.lang.String location, boolean disableAlgoCheck)
location - absolute path to MOJO filedisableAlgoCheck - if true skip the check of white-listed MOJO models, use at your own risk - some features might not work.public static GenericModel importMojoModel(java.net.URI location)