public static class CoxPHModel.CoxPHParameters
extends hex.Model.Parameters
| Modifier and Type | Class and Description |
|---|---|
static class |
CoxPHModel.CoxPHParameters.CoxPHTies |
| Modifier and Type | Field and Description |
|---|---|
boolean |
_calc_cumhaz |
double |
_init |
hex.StringPair[] |
_interaction_pairs |
java.lang.String[] |
_interactions |
java.lang.String[] |
_interactions_only |
double |
_lre_min |
int |
_max_iterations |
boolean |
_single_node_mode
If true, computation is performed with local jobs.
|
java.lang.String |
_start_column |
java.lang.String |
_stop_column |
java.lang.String[] |
_stratify_by |
CoxPHModel.CoxPHParameters.CoxPHTies |
_ties |
boolean |
_use_all_factor_levels |
_auc_type, _auto_rebalance, _auuc_nbins, _auuc_type, _balance_classes, _categorical_encoding, _check_constant_response, _checkpoint, _class_sampling_factors, _custom_distribution_func, _custom_metric_func, _cv_fold, _distribution, _export_checkpoints_dir, _fold_assignment, _fold_column, _gainslift_bins, _huber_alpha, _ignore_const_cols, _ignored_columns, _is_cv_model, _keep_cross_validation_fold_assignment, _keep_cross_validation_models, _keep_cross_validation_predictions, _keep_cross_validation_predictions_precision, _main_model_time_budget_factor, _max_after_balance_size, _max_categorical_levels, _max_confusion_matrix_size, _max_runtime_secs, _nfolds, _offset_column, _parallelize_cross_validation, _preprocessors, _pretrained_autoencoder, _quantile_alpha, _response_column, _score_each_iteration, _seed, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _treatment_column, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS| Constructor and Description |
|---|
CoxPHParameters() |
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
algoName() |
java.lang.String |
fullName() |
java.lang.String |
javaName() |
long |
progressUnits() |
checksum, checksum, defaultDropConsCols, defaultStoppingTolerance, getCategoricalEncoding, getDependentKeys, getDistributionFamily, getFoldColumn, getMaxCategoricalLevels, getNonPredictors, getOffsetColumn, getOrMakeRealSeed, getResponseColumn, getTreatmentColumn, getUsedColumns, getWeightsColumn, hasCheckpoint, hasCustomMetricFunc, missingColumnsType, read_lock_frames, read_unlock_frames, setDistributionFamily, setTrain, train, validpublic java.lang.String _start_column
public java.lang.String _stop_column
public java.lang.String[] _stratify_by
public CoxPHModel.CoxPHParameters.CoxPHTies _ties
public double _init
public double _lre_min
public int _max_iterations
public boolean _use_all_factor_levels
public java.lang.String[] _interactions_only
public java.lang.String[] _interactions
public hex.StringPair[] _interaction_pairs
public boolean _calc_cumhaz
public boolean _single_node_mode
MRTask.doAll(Vec, boolean) and other overloaded variants are during the computation called with runLocal
set as true.
Thus setting effects the main CoxPH computation only. Model metrics computation doesn't honour this setting -
ModelMetricsRegressionCoxPH.concordance() computation ignores it.public java.lang.String algoName()
algoName in class hex.Model.Parameterspublic java.lang.String fullName()
fullName in class hex.Model.Parameterspublic java.lang.String javaName()
javaName in class hex.Model.Parameterspublic long progressUnits()
progressUnits in class hex.Model.Parameters