public static final class DRFV3.DRFParametersV3 extends SharedTreeV3.SharedTreeParametersV3<DRFModel.DRFParameters,DRFV3.DRFParametersV3>
Modifier and Type | Field and Description |
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boolean |
binomial_double_trees |
int |
mtries |
static java.lang.String[] |
own_fields |
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, ntrees, offset_column, r2_stopping, response_column, seed, weights_column
Constructor and Description |
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DRFV3.DRFParametersV3() |
append_field_arrays, fields, fillFromImpl, fillImpl, writeParametersJSON
acceptsFrame, 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, schemas
public static java.lang.String[] own_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