public class GLRMParametersV99 extends ModelParametersSchema
| Modifier and Type | Field and Description |
|---|---|
java.lang.String |
checkpoint
Model checkpoint to resume training with
|
FoldAssignmentScheme |
fold_assignment
Cross-validation fold assignment scheme, if fold_column is not specified
|
ColSpecifierV3 |
fold_column
Column with cross-validation fold index assignment per observation
|
double |
gamma_x
Regularization weight on X matrix
|
double |
gamma_y
Regularization weight on Y matrix
|
boolean |
ignore_const_cols
Ignore constant columns
|
java.lang.String[] |
ignored_columns
Ignored columns
|
Initialization |
init
Initialization mode
|
double |
init_step_size
Initial step size
|
int |
k
Rank of matrix approximation
|
boolean |
keep_cross_validation_predictions
Keep cross-validation model predictions
|
java.lang.String |
loading_name
Frame key to save resulting X
|
Loss |
loss
Numeric loss function
|
Loss[] |
loss_by_col
Loss function by column (override)
|
int[] |
loss_by_col_idx
Loss function by column index (override)
|
int |
max_iterations
Maximum number of iterations
|
double |
min_step_size
Minimum step size
|
java.lang.String |
model_id
Destination id for this model; auto-generated if not specified
|
Loss |
multi_loss
Enum loss function
|
int |
nfolds
Number of folds for N-fold cross-validation
|
ColSpecifierV3 |
offset_column
Offset column
|
int |
period
Length of period (only used with periodic loss function)
|
boolean |
recover_svd
Recover singular values and eigenvectors of XY
|
Regularizer |
regularization_x
Regularization function for X matrix
|
Regularizer |
regularization_y
Regularization function for Y matrix
|
ColSpecifierV3 |
response_column
Response column
|
boolean |
score_each_iteration
Whether to score during each iteration of model training
|
long |
seed
RNG seed for initialization
|
java.lang.String |
training_frame
Training frame
|
TransformType |
transform
Transformation of training data
|
java.lang.String |
user_points
User-specified initial Y
|
java.lang.String |
validation_frame
Validation frame
|
ColSpecifierV3 |
weights_column
Column with observation weights
|
| Constructor and Description |
|---|
GLRMParametersV99() |
public TransformType transform
public int k
public Loss loss
public Loss multi_loss
public Loss[] loss_by_col
public int[] loss_by_col_idx
public int period
public Regularizer regularization_x
public Regularizer regularization_y
public double gamma_x
public double gamma_y
public int max_iterations
public double init_step_size
public double min_step_size
public long seed
public Initialization init
public java.lang.String user_points
public java.lang.String loading_name
public boolean recover_svd
public java.lang.String model_id
public java.lang.String training_frame
public java.lang.String validation_frame
public int nfolds
public boolean keep_cross_validation_predictions
public ColSpecifierV3 response_column
public ColSpecifierV3 weights_column
public ColSpecifierV3 offset_column
public ColSpecifierV3 fold_column
public FoldAssignmentScheme fold_assignment
public java.lang.String[] ignored_columns
public boolean ignore_const_cols
public boolean score_each_iteration
public java.lang.String checkpoint