public class SVDParametersV99 extends ModelParametersSchema
| Modifier and Type | Field and Description |
|---|---|
boolean |
keep_u
Save left singular vectors?
|
int |
max_iterations
Maximum iterations
|
int |
nv
Number of right singular vectors
|
long |
seed
RNG seed for k-means++ initialization
|
SvdSVDModelSVDParametersMethod |
svd_method
Method for computing SVD (Caution: Power and Randomized are currently experimental and unstable)
|
DataInfoTransformType |
transform
Transformation of training data
|
java.lang.String |
u_name
Frame key to save left singular vectors
|
boolean |
use_all_factor_levels
Whether first factor level is included in each categorical expansion
|
checkpoint, fold_assignment, fold_column, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, keep_cross_validation_predictions, max_runtime_secs, model_id, nfolds, offset_column, parallelize_cross_validation, response_column, score_each_iteration, stopping_metric, stopping_rounds, stopping_tolerance, training_frame, validation_frame, weights_column| Constructor and Description |
|---|
SVDParametersV99() |
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
public DataInfoTransformType transform
public SvdSVDModelSVDParametersMethod svd_method
public int nv
public int max_iterations
public long seed
public boolean keep_u
public java.lang.String u_name
public boolean use_all_factor_levels
public java.lang.String toString()
toString in class ModelParametersSchema