public static class QuantileModel.QuantileParameters extends Model.Parameters
Model.Parameters.FoldAssignmentScheme| Modifier and Type | Field and Description |
|---|---|
QuantileModel.CombineMethod |
_combine_method |
double[] |
_probs |
_balance_classes, _checkpoint, _class_sampling_factors, _distribution, _fold_assignment, _fold_column, _ignore_const_cols, _ignored_columns, _keep_cross_validation_predictions, _max_after_balance_size, _max_confusion_matrix_size, _nfolds, _offset_column, _response_column, _score_each_iteration, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS| Constructor and Description |
|---|
QuantileModel.QuantileParameters() |
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
algoName()
The short name, used in making Keys.
|
protected boolean |
defaultDropConsCols() |
java.lang.String |
fullName()
The pretty algo name for this Model (e.g., Gradient Boosting Method, rather than GBM).
|
java.lang.String |
javaName()
The Java class name for this Model (e.g., hex.tree.gbm.GBM, rather than GBM).
|
checksum_impl, checksum, defaultStoppingTolerance, hasCheckpoint, missingColumnsType, nFoldSeed, read_lock_frames, read_unlock_frames, train, validclone, copyOver, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeJSON_impl, writeJSONpublic double[] _probs
public QuantileModel.CombineMethod _combine_method
protected boolean defaultDropConsCols()
defaultDropConsCols in class Model.Parameterspublic java.lang.String algoName()
Model.ParametersalgoName in class Model.Parameterspublic java.lang.String fullName()
Model.ParametersfullName in class Model.Parameterspublic java.lang.String javaName()
Model.ParametersjavaName in class Model.Parameters