public class DRF extends SharedTree<DRFModel,DRFModel.DRFParameters,DRFModel.DRFOutput>
SharedTree.Driver, SharedTree.FrameMap_initialPrediction, _lastScoredTree, _model, _mtry, _mtry_per_tree, _ncols, _ntrees, _rand, _trainPredsCache, _validPredsCache, _validWorkspace, DEV_DEBUG, MAX_NTREES| Constructor and Description |
|---|
DRF(boolean startup_once) |
DRF(DRFModel.DRFParameters parms) |
DRF(DRFModel.DRFParameters parms,
water.Job job) |
DRF(DRFModel.DRFParameters parms,
water.Key<DRFModel> key) |
| Modifier and Type | Method and Description |
|---|---|
hex.ModelCategory[] |
can_build() |
void |
init(boolean expensive)
Initialize the ModelBuilder, validating all arguments and preparing the
training frame.
|
protected double |
score1(water.fvec.Chunk[] chks,
double weight,
double offset,
double[] fs,
int row) |
boolean |
scoreZeroTrees() |
protected SharedTree.Driver |
trainModelImpl()
Start the DRF training Job on an F/J thread.
|
addCustomInfo, buildLayer, canLearnFromNAs, checkMemoryFootPrint_impl, chk_nids, chk_offset, chk_oobt, chk_resp, chk_tree, chk_weight, chk_work, computePriorClassDistribution, createModelSummaryTable, createScoringHistoryTable, createScoringHistoryTable, cv_computeAndSetOptimalParameters, data_row, doScoringAndSaveModel, getCalibrationFrame, getInitialValue, getModelBuilder, getProblemType, getToEigenVec, haveMojo, havePojo, idx_nids, idx_offset, idx_oobt, idx_resp, idx_tree, idx_weight, idx_work, ignoreInvalidColumns, isSupervised, makeDecided, setCalibrationFrame, shouldReorder, validateRowSampleRate, validWorkspace, vec_nids, vec_offset, vec_oobt, vec_resp, vec_tree, vec_weight, vec_workalgoName, algos, builderVisibility, bulkBuildModels, checkDistributions, checkMemoryFootPrint, checkResponseVariable, clearInitState, clearValidationErrors, computeCrossValidation, cv_AssignFold, cv_buildModels, cv_mainModelScores, cv_makeWeights, cv_scoreCVModels, defaultKey, desiredChunks, dest, error_count, error, get, getName, getSysProperty, hasFoldCol, hasOffsetCol, hasWeightCol, hide, ignoreBadColumns, ignoreConstColumns, ignoreStringColumns, ignoreUuidColumns, info, init_adaptFrameToTrain, init_getNClass, initWorkspace, isClassifier, isResponseOptional, isStopped, javaName, logMe, make, make, make, message, nclasses, nFoldCV, nFoldWork, nModelsInParallel, nModelsInParallel, nModelsInParallel, numSpecialCols, paramName, rebalance, response, schemaDirectory, separateFeatureVecs, setModelBuilderListener, setTrain, specialColNames, stop_requested, timeout, train, trainModel, trainModelNested, trainModelNested, trainModelOnH2ONode, valid, validateStoppingMetric, validationErrors, vresponse, warnpublic DRF(DRFModel.DRFParameters parms)
public DRF(DRFModel.DRFParameters parms, water.Key<DRFModel> key)
public DRF(DRFModel.DRFParameters parms, water.Job job)
public DRF(boolean startup_once)
public hex.ModelCategory[] can_build()
can_build in class hex.ModelBuilder<DRFModel,DRFModel.DRFParameters,DRFModel.DRFOutput>protected SharedTree.Driver trainModelImpl()
trainModelImpl in class hex.ModelBuilder<DRFModel,DRFModel.DRFParameters,DRFModel.DRFOutput>public boolean scoreZeroTrees()
scoreZeroTrees in class SharedTree<DRFModel,DRFModel.DRFParameters,DRFModel.DRFOutput>public void init(boolean expensive)
init in class SharedTree<DRFModel,DRFModel.DRFParameters,DRFModel.DRFOutput>protected double score1(water.fvec.Chunk[] chks,
double weight,
double offset,
double[] fs,
int row)
score1 in class SharedTree<DRFModel,DRFModel.DRFParameters,DRFModel.DRFOutput>