public static final class DRFV3.DRFParametersV3 extends SharedTreeV3.SharedTreeParametersV3<DRFModel.DRFParameters,DRFV3.DRFParametersV3>
| Modifier and Type | Field and Description |
|---|---|
boolean |
binomial_double_trees |
static java.lang.String[] |
fields |
int |
mtries |
float |
sample_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, nbins_top_level, ntrees, r2_stopping, seed| Constructor and Description |
|---|
DRFV3.DRFParametersV3() |
append_field_arrays, fields, fillFromImpl, fillImpl, writeParametersJSONcreateAndFillImpl, createImpl, fillFromParms, fillFromParms, get__meta, getExperimentalVersion, getHighestSupportedVersion, getImplClass, getImplClass, getLatestVersion, getSchemaVersion, markdown, markdown, markdown, newInstance, newInstance, registerAllSchemasIfNecessary, schema, schema, schemaClass, schemas, setFieldpublic static java.lang.String[] fields
@API(help="Number of variables randomly sampled as candidates at each split. If set to -1, defaults to sqrt{p} for classification and p/3 for regression (where p is the # of predictors",
gridable=true)
public int mtries
@API(help="Sample rate, from 0. to 1.0",
gridable=true)
public float sample_rate
@API(help="For binary classification: Build 2x as many trees (one per class) - can lead to higher accuracy.",
level=secondary)
public boolean binomial_double_trees