public class DeepLearning extends hex.ModelBuilder<DeepLearningModel,DeepLearningParameters,DeepLearningModel.DeepLearningModelOutput>
| Modifier and Type | Class and Description |
|---|---|
class |
DeepLearning.DeepLearningDriver |
hex.ModelBuilder.BuilderVisibility, hex.ModelBuilder.ValidationMessage_fold, _messages, _nclass, _offset, _parms, _response, _train, _valid, _vresponse, _weights| Constructor and Description |
|---|
DeepLearning(DeepLearningParameters parms)
Main constructor from Deep Learning parameters
|
| Modifier and Type | Method and Description |
|---|---|
hex.ModelBuilder.BuilderVisibility |
builderVisibility() |
hex.ModelCategory[] |
can_build()
Types of models we can build with DeepLearning
|
protected void |
checkMemoryFootPrint() |
void |
init(boolean expensive)
Initialize the ModelBuilder, validating all arguments and preparing the
training frame.
|
boolean |
isSupervised() |
void |
modifyParmsForCrossValidationMainModel(int N) |
void |
modifyParmsForCrossValidationSplits(int i,
int N) |
long |
progressUnits() |
hex.schemas.ModelBuilderSchema |
schema() |
water.Job<DeepLearningModel> |
trainModelImpl(long work)
Start the DeepLearning training Job on an F/J thread.
|
clearInitState, computeCrossValidation, computePriorClassDistribution, createModelBuilder, deleteProgressKey, error_count, error, getAlgo, getAlgo, getAlgo, getAlgoFullName, getModelBuilder, getModelBuilders, getModelClass, hasFoldCol, hasOffsetCol, hasWeightCol, hide, ignoreBadColumns, ignoreStringColumns, info, isClassifier, nclasses, numSpecialCols, registerModelBuilder, response, responseMean, separateFeatureVecs, train, trainModel, updateValidationMessages, valid, validationErrors, vresponse, warncancel, cancel, checksum_impl, createProgressKey, dest, done, failed, get, isCancelledOrCrashed, isDone, isRunning, isRunning, isStopped, jobs, msec, progress_msg, progress, remove_impl, start, update, update, update, updatechecksum, getBinarySerializer, getPublishedKeys, remove, remove, remove, removepublic DeepLearning(DeepLearningParameters parms)
parms - public hex.ModelCategory[] can_build()
can_build in class hex.ModelBuilder<DeepLearningModel,DeepLearningParameters,DeepLearningModel.DeepLearningModelOutput>public hex.schemas.ModelBuilderSchema schema()
schema in class hex.ModelBuilder<DeepLearningModel,DeepLearningParameters,DeepLearningModel.DeepLearningModelOutput>public hex.ModelBuilder.BuilderVisibility builderVisibility()
builderVisibility in class hex.ModelBuilder<DeepLearningModel,DeepLearningParameters,DeepLearningModel.DeepLearningModelOutput>public boolean isSupervised()
isSupervised in class hex.ModelBuilder<DeepLearningModel,DeepLearningParameters,DeepLearningModel.DeepLearningModelOutput>public water.Job<DeepLearningModel> trainModelImpl(long work)
trainModelImpl in class hex.ModelBuilder<DeepLearningModel,DeepLearningParameters,DeepLearningModel.DeepLearningModelOutput>work - public long progressUnits()
progressUnits in class hex.ModelBuilder<DeepLearningModel,DeepLearningParameters,DeepLearningModel.DeepLearningModelOutput>public void init(boolean expensive)
init in class hex.ModelBuilder<DeepLearningModel,DeepLearningParameters,DeepLearningModel.DeepLearningModelOutput>protected void checkMemoryFootPrint()
checkMemoryFootPrint in class hex.ModelBuilder<DeepLearningModel,DeepLearningParameters,DeepLearningModel.DeepLearningModelOutput>public void modifyParmsForCrossValidationSplits(int i,
int N)
modifyParmsForCrossValidationSplits in class hex.ModelBuilder<DeepLearningModel,DeepLearningParameters,DeepLearningModel.DeepLearningModelOutput>public void modifyParmsForCrossValidationMainModel(int N)
modifyParmsForCrossValidationMainModel in class hex.ModelBuilder<DeepLearningModel,DeepLearningParameters,DeepLearningModel.DeepLearningModelOutput>