public static final class ExtendedIsolationForestV3.ExtendedIsolationForestParametersV3 extends water.api.schemas3.ModelParametersSchemaV3<ExtendedIsolationForestModel.ExtendedIsolationForestParameters,ExtendedIsolationForestV3.ExtendedIsolationForestParametersV3>
| Modifier and Type | Field and Description |
|---|---|
boolean |
disable_training_metrics |
int |
extension_level |
static java.lang.String[] |
fields |
int |
ntrees |
int |
sample_size |
int |
score_tree_interval |
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 |
|---|
ExtendedIsolationForestParametersV3() |
append_field_arrays, extractDeclaredApiParameters, fields, fillFromImpl, fillImpl, getAdditionalParameters, writeParametersJSONcreateAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromAny, fillFromBody, fillFromImpl, fillFromImpl, fillFromParms, fillFromParms, fillFromParms, fillImpl, getImplClass, getImplClass, getSchemaName, getSchemaType, getSchemaVersion, init_meta, markdown, markdown, newInstance, newInstance, setField, setSchemaType_doNotCallpublic static java.lang.String[] fields
@API(help="Number of Extended Isolation Forest trees.",
gridable=true)
public int ntrees
@API(help="Number of randomly sampled observations used to train each Extended Isolation Forest tree.",
gridable=true)
public int sample_size
@API(help="Maximum is N - 1 (N = numCols). Minimum is 0. Extended Isolation Forest with extension_Level = 0 behaves like Isolation Forest.",
gridable=true)
public int extension_level
@API(help="Seed for pseudo random number generator (if applicable)",
gridable=true)
public long seed
@API(help="Score the model after every so many trees. Disabled if set to 0.",
level=secondary,
gridable=false)
public int score_tree_interval
@API(help="Disable calculating training metrics (expensive on large datasets)") public boolean disable_training_metrics