public static final class DTV3.DTParametersV3 extends water.api.schemas3.ModelParametersSchemaV3<DTModel.DTParameters,DTV3.DTParametersV3>
Modifier and Type | Field and Description |
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static java.lang.String[] |
fields |
int |
max_depth |
int |
min_rows |
long |
seed |
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 |
---|
DTParametersV3() |
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(level=expert, direction=INOUT, gridable=true, help="Seed for random numbers (affects sampling)") public long seed
@API(help="Max depth of tree.", gridable=true) public int max_depth
@API(help="Fewest allowed (weighted) observations in a leaf.", gridable=true) public int min_rows