public static final class NaiveBayesV3.NaiveBayesParametersV3 extends water.api.SupervisedModelParametersSchema<NaiveBayesModel.NaiveBayesParameters,NaiveBayesV3.NaiveBayesParametersV3>
water.api.ModelParametersSchema.ValidationMessageBase<I extends hex.ModelBuilder.ValidationMessage,S extends water.api.ModelParametersSchema.ValidationMessageBase<I,S>>, water.api.ModelParametersSchema.ValidationMessageV2| Modifier and Type | Field and Description |
|---|---|
boolean |
compute_metrics |
double |
eps_prob |
double |
eps_sdev |
double |
laplace |
double |
min_prob |
double |
min_sdev |
static java.lang.String[] |
own_fields |
balance_classes, class_sampling_factors, max_after_balance_size, max_confusion_matrix_size, max_hit_ratio_k, response_column| Constructor and Description |
|---|
NaiveBayesV3.NaiveBayesParametersV3() |
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[] own_fields
@API(help="Laplace smoothing parameter") public double laplace
@API(help="Min. standard deviation to use for observations with not enough data") public double min_sdev
@API(help="Cutoff below which standard deviation is replaced with min_sdev") public double eps_sdev
@API(help="Min. probability to use for observations with not enough data") public double min_prob
@API(help="Cutoff below which probability is replaced with min_prob") public double eps_prob
@API(help="Compute metrics on training data") public boolean compute_metrics