public static final class CoxPHV3.CoxPHParametersV3 extends water.api.schemas3.ModelParametersSchemaV3<CoxPHModel.CoxPHParameters,CoxPHV3.CoxPHParametersV3>
Modifier and Type | Field and Description |
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static java.lang.String[] |
fields |
double |
init |
water.api.schemas3.StringPairV3[] |
interaction_pairs |
java.lang.String[] |
interactions |
java.lang.String[] |
interactions_only |
double |
lre_min |
int |
max_iterations |
boolean |
single_node_mode |
water.api.schemas3.FrameV3.ColSpecifierV3 |
start_column |
water.api.schemas3.FrameV3.ColSpecifierV3 |
stop_column |
java.lang.String[] |
stratify_by |
CoxPHModel.CoxPHParameters.CoxPHTies |
ties |
boolean |
use_all_factor_levels |
auc_type, categorical_encoding, checkpoint, custom_distribution_func, custom_metric_func, distribution, export_checkpoints_dir, fold_assignment, fold_column, gainslift_bins, huber_alpha, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, keep_cross_validation_models, keep_cross_validation_predictions, max_categorical_levels, max_runtime_secs, model_id, nfolds, offset_column, parallelize_cross_validation, quantile_alpha, response_column, score_each_iteration, stopping_metric, stopping_rounds, stopping_tolerance, training_frame, tweedie_power, validation_frame, weights_column
Constructor and Description |
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CoxPHParametersV3() |
append_field_arrays, extractDeclaredApiParameters, fields, fillFromImpl, fillImpl, getAdditionalParameters, writeParametersJSON
createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromAny, fillFromBody, fillFromImpl, fillFromImpl, fillFromParms, fillFromParms, fillFromParms, fillImpl, getImplClass, getImplClass, getSchemaName, getSchemaType, getSchemaVersion, init_meta, markdown, markdown, newInstance, newInstance, setField, setSchemaType_doNotCall
public static java.lang.String[] fields
@API(help="Start Time Column.", direction=INOUT, is_member_of_frames="training_frame", is_mutually_exclusive_with="ignored_columns") public water.api.schemas3.FrameV3.ColSpecifierV3 start_column
@API(help="Stop Time Column.", direction=INOUT, is_member_of_frames="training_frame", is_mutually_exclusive_with="ignored_columns") public water.api.schemas3.FrameV3.ColSpecifierV3 stop_column
@API(help="List of columns to use for stratification.", direction=INOUT) public java.lang.String[] stratify_by
@API(help="Method for Handling Ties.", values={"efron","breslow"}, direction=INOUT) public CoxPHModel.CoxPHParameters.CoxPHTies ties
@API(help="Coefficient starting value.", direction=INOUT) public double init
@API(help="Minimum log-relative error.", direction=INOUT) public double lre_min
@API(help="Maximum number of iterations.", direction=INOUT) public int max_iterations
@API(help="A list of columns that should only be used to create interactions but should not itself participate in model training.", direction=INPUT, level=expert) public java.lang.String[] interactions_only
@API(help="A list of predictor column indices to interact. All pairwise combinations will be computed for the list.", direction=INPUT, level=expert) public java.lang.String[] interactions
@API(help="A list of pairwise (first order) column interactions.", direction=INPUT, level=expert) public water.api.schemas3.StringPairV3[] interaction_pairs
@API(help="(Internal. For development only!) Indicates whether to use all factor levels.", direction=INPUT, level=expert, gridable=true) public boolean use_all_factor_levels
@API(level=expert, direction=INOUT, help="Run on a single node to reduce the effect of network overhead (for smaller datasets)") public boolean single_node_mode