public static class QuantileModel.QuantileParameters extends Model.Parameters
Model.Parameters.CategoricalEncodingScheme, Model.Parameters.FoldAssignmentScheme
Modifier and Type | Field and Description |
---|---|
QuantileModel.CombineMethod |
_combine_method |
double[] |
_probs |
_auto_rebalance, _balance_classes, _categorical_encoding, _check_constant_response, _checkpoint, _class_sampling_factors, _custom_metric_func, _distribution, _export_checkpoints_dir, _fold_assignment, _fold_column, _huber_alpha, _ignore_const_cols, _ignored_columns, _is_cv_model, _keep_cross_validation_fold_assignment, _keep_cross_validation_models, _keep_cross_validation_predictions, _max_after_balance_size, _max_categorical_levels, _max_confusion_matrix_size, _max_runtime_secs, _nfolds, _offset_column, _parallelize_cross_validation, _pretrained_autoencoder, _quantile_alpha, _response_column, _score_each_iteration, _seed, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS
Constructor and Description |
---|
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 Machine, rather than GBM).
|
java.lang.String |
javaName()
The Java class name for this Model (e.g., hex.tree.gbm.GBM, rather than GBM).
|
long |
progressUnits()
How much work will be done for this model?
|
checksum_impl, checksum, defaultStoppingTolerance, getOrMakeRealSeed, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, setTrain, train, valid
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, writeJSON
public double[] _probs
public QuantileModel.CombineMethod _combine_method
protected boolean defaultDropConsCols()
defaultDropConsCols
in class Model.Parameters
public java.lang.String algoName()
Model.Parameters
algoName
in class Model.Parameters
public java.lang.String fullName()
Model.Parameters
fullName
in class Model.Parameters
public java.lang.String javaName()
Model.Parameters
javaName
in class Model.Parameters
public long progressUnits()
Model.Parameters
progressUnits
in class Model.Parameters