public static final class QuantileV3.QuantileParametersV3 extends ModelParametersSchemaV3<QuantileModel.QuantileParameters,QuantileV3.QuantileParametersV3>
SchemaV3.Meta
Modifier and Type | Field and Description |
---|---|
QuantileModel.CombineMethod |
combine_method |
static java.lang.String[] |
own_fields |
double[] |
probs |
categorical_encoding, checkpoint, distribution, fold_assignment, fold_column, huber_alpha, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, 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 |
---|
QuantileV3.QuantileParametersV3() |
append_field_arrays, fields, fillFromImpl, fillImpl, writeParametersJSON
createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromImpl, fillFromImpl, fillFromParms, fillFromParms, fillImpl, getImplClass, getImplClass, getSchemaName, getSchemaType, getSchemaVersion, init_meta, markdown, markdown, newInstance, newInstance, setField, setSchemaType_doNotCall
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal
public static java.lang.String[] own_fields
@API(help="How to combine quantiles for even sample sizes", values={"INTERPOLATE","AVG","LO","HI"}) public QuantileModel.CombineMethod combine_method