public class Quantile extends ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
| Modifier and Type | Class and Description |
|---|---|
static class |
Quantile.QTask |
ModelBuilder.BuilderVisibilityJob.JobCancelledException, Job.JobState, Job.Progress, Job.ProgressUpdate, Job.ValidationMessageKeyed.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 |
|---|
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, ignoreStringColumns, isClassifier, isSupervised, modifyParmsForCrossValidationMainModel, modifyParmsForCrossValidationSplits, nclasses, nFoldCV, numSpecialCols, registerModelBuilder, response, responseMean, separateFeatureVecs, train, trainModel, updateModelOutput, valid, vresponseblock, 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, warnchecksum, getBinarySerializer, getPublishedKeys, remove, remove, remove, removeclone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeJSON_impl, writeJSONpublic Quantile(QuantileModel.QuantileParameters parms)
public ModelBuilderSchema schema()
ModelBuilderschema in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>public Quantile trainModelImpl(long work, boolean restartTimer)
ModelBuildertrainModelImpl 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()
ModelBuildercan_build in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>public ModelBuilder.BuilderVisibility builderVisibility()
ModelBuilderbuilderVisibility in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>public void init(boolean expensive)
init in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>Job.updateValidationMessages()