public static final class SVDV99.SVDParametersV99 extends water.api.ModelParametersSchema<SVDModel.SVDParameters,SVDV99.SVDParametersV99>
| Modifier and Type | Field and Description |
|---|---|
static java.lang.String[] |
fields |
boolean |
keep_u |
int |
max_iterations |
int |
nv |
long |
seed |
SVDModel.SVDParameters.Method |
svd_method |
DataInfo.TransformType |
transform |
java.lang.String |
u_name |
boolean |
use_all_factor_levels |
| Constructor and Description |
|---|
SVDV99.SVDParametersV99() |
append_field_arrays, fields, fillFromImpl, fillImpl, writeParametersJSONcreateAndFillImpl, createImpl, fillFromParms, fillFromParms, get__meta, getExperimentalVersion, getHighestSupportedVersion, getImplClass, getImplClass, getLatestVersion, getSchemaVersion, markdown, markdown, markdown, newInstance, newInstance, registerAllSchemasIfNecessary, schema, schema, schemaClass, schemas, setFieldpublic static java.lang.String[] fields
@API(help="Transformation of training data",
values={"NONE","STANDARDIZE","NORMALIZE","DEMEAN","DESCALE"})
public DataInfo.TransformType transform
@API(help="Method for computing SVD (Caution: Power and Probablistic are currently experimental and unstable)",
values={"GramSVD","Power","Randomized"})
public SVDModel.SVDParameters.Method svd_method
@API(help="Number of right singular vectors") public int nv
@API(help="Maximum iterations") public int max_iterations
@API(help="RNG seed for k-means++ initialization") public long seed
@API(help="Save left singular vectors?") public boolean keep_u
@API(help="Frame key to save left singular vectors") public java.lang.String u_name
@API(help="Whether first factor level is included in each categorical expansion",
direction=INOUT)
public boolean use_all_factor_levels