public static final class PCAV3.PCAParametersV3 extends water.api.ModelParametersSchema<PCAModel.PCAParameters,PCAV3.PCAParametersV3>
Modifier and Type | Field and Description |
---|---|
int |
k |
java.lang.String |
loading_name |
int |
max_iterations |
static java.lang.String[] |
own_fields |
long |
seed |
DataInfo.TransformType |
transform |
boolean |
use_all_factor_levels |
Constructor and Description |
---|
PCAV3.PCAParametersV3() |
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="Transformation of training data", values={"NONE","STANDARDIZE","NORMALIZE","DEMEAN","DESCALE"}) public DataInfo.TransformType transform
@API(help="Rank of matrix approximation", required=true, direction=INOUT) public int k
@API(help="Maximum training iterations", direction=INOUT) public int max_iterations
@API(help="RNG seed for initialization", direction=INOUT) public long seed
@API(help="Frame key to save resulting X", direction=INPUT) public java.lang.String loading_name
@API(help="Whether first factor level is included in each categorical expansion", direction=INOUT) public boolean use_all_factor_levels