public class Quantile extends ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
Modifier and Type | Class and Description |
---|---|
static class |
Quantile.QTask |
ModelBuilder.BuilderVisibility
Job.JobCancelledException, Job.JobState, Job.Progress, Job.ProgressUpdate, Job.ValidationMessage
Keyed.BinarySerializer<X extends Keyed>
_fold, _nclass, _offset, _parms, _response, _train, _valid, _vresponse, _weights
_description, _dest, _end_time, _exception, _messages, _progressKey, _start_time, _state, LIST
_key, EMPTY_KEY_LIST
Constructor and Description |
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Quantile(QuantileModel.QuantileParameters parms) |
Modifier and Type | Method and Description |
---|---|
ModelBuilder.BuilderVisibility |
builderVisibility()
Visibility for this algo: is it always visible, is it beta (always visible but with a note in the UI)
or is it experimental (hidden by default, visible in the UI if the user gives an "experimental" flag
at startup).
|
hex.ModelCategory[] |
can_build()
List containing the categories of models that this builder can
build.
|
void |
init(boolean expensive)
Initialize the ModelBuilder, validating all arguments and preparing the
training frame.
|
long |
progressUnits() |
ModelBuilderSchema |
schema()
Externally visible default schema
TODO: this is in the wrong layer: the internals should not know anything about the schemas!!!
This puts a reverse edge into the dependency graph.
|
Quantile |
trainModelImpl(long work,
boolean restartTimer)
Model-specific implementation of model training
|
canBeDone, cancel, checkDistributions, checkMemoryFootPrint, clearInitState, computeCrossValidation, computePriorClassDistribution, createModelBuilder, deleteProgressKey, error_count, getAlgo, getAlgo, getAlgo, getAlgoFullName, getModelBuilder, getModelBuilders, getModelClass, hasFoldCol, hasOffsetCol, hasWeightCol, ignoreBadColumns, ignoreConstColumns, ignoreStringColumns, isClassifier, isSupervised, modifyParmsForCrossValidationMainModel, modifyParmsForCrossValidationSplits, nclasses, nFoldCV, numSpecialCols, registerModelBuilder, response, responseMean, separateFeatureVecs, train, trainModel, updateModelOutput, valid, vresponse
block, cancel, checksum_impl, clearValidationErrors, createProgressKey, dest, done, done, error_count_or_uninitialized, error, failed, get, hide, info, isCancelledOrCrashed, isDone, isRunning, isRunning, isStopped, jobKey, jobs, message, msec, progress_msg, progress, remove_impl, start, update, update, update, update, updateValidationMessages, validationErrors, warn
checksum, getBinarySerializer, getPublishedKeys, remove, remove, remove, remove
clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeJSON_impl, writeJSON
public Quantile(QuantileModel.QuantileParameters parms)
public ModelBuilderSchema schema()
ModelBuilder
schema
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
public Quantile trainModelImpl(long work, boolean restartTimer)
ModelBuilder
trainModelImpl
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
work
- Number of progress units (each advances the Job's progress bar by a bit)public long progressUnits()
progressUnits
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
public hex.ModelCategory[] can_build()
ModelBuilder
can_build
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
public ModelBuilder.BuilderVisibility builderVisibility()
ModelBuilder
builderVisibility
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
public void init(boolean expensive)
init
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
Job.updateValidationMessages()