public static final class GBMV3.GBMParametersV3 extends SharedTreeV3.SharedTreeParametersV3<GBMModel.GBMParameters,GBMV3.GBMParametersV3>
| Modifier and Type | Field and Description |
|---|---|
hex.Distributions.Family |
distribution |
static java.lang.String[] |
fields |
float |
learn_rate |
balance_classes, build_tree_one_node, class_sampling_factors, max_after_balance_size, max_confusion_matrix_size, max_depth, max_hit_ratio_k, min_rows, nbins, nbins_cats, ntrees, r2_stopping, seedfold_assignment, fold_column, ignore_const_cols, ignored_columns, keep_cross_validation_predictions, keep_cross_validation_splits, model_id, nfolds, offset_column, response_column, score_each_iteration, training_frame, validation_frame, weights_column| Constructor and Description |
|---|
GBMV3.GBMParametersV3() |
append_field_arrays, fields, fillFromImpl, fillImpl, writeParametersJSONacceptsFrame, createAndFillImpl, createImpl, extractVersion, fillFromParms, getExperimentalVersion, getHighestSupportedVersion, getImplClass, getImplClass, getLatestVersion, getSchemaVersion, markdown, markdown, markdown, markdown, newInstance, register, registerAllSchemasIfNecessary, schema, schema, schema, schema, schema, schemaClass, schemaClass, schemaClass, schemaClass, schemaspublic static java.lang.String[] fields
@API(help="Learning rate from 0.0 to 1.0",
gridable=true)
public float learn_rate
@API(help="Distribution function",
values={"AUTO","bernoulli","multinomial","gaussian","poisson","gamma","tweedie"},
gridable=true)
public hex.Distributions.Family distribution