water.bindings.pojos.SVDParametersV99 Maven / Gradle / Ivy
package water.bindings.pojos;
import com.google.gson.Gson;
public class SVDParametersV99 extends ModelParametersSchema {
/** Transformation of training data */
public TransformType transform;
/** Method for computing SVD (Caution: Power and Randomized are currently experimental and unstable) */
public Method svd_method;
/** Number of right singular vectors */
public int nv;
/** Maximum iterations */
public int max_iterations;
/** RNG seed for k-means++ initialization */
public long seed;
/** Save left singular vectors? */
public boolean keep_u;
/** Frame key to save left singular vectors */
public String u_name;
/** Whether first factor level is included in each categorical expansion */
public boolean use_all_factor_levels;
/* INHERITED: Destination id for this model; auto-generated if not specified
* public ModelKeyV3 model_id;
*/
/* INHERITED: Training frame
* public FrameKeyV3 training_frame;
*/
/* INHERITED: Validation frame
* public FrameKeyV3 validation_frame;
*/
/* INHERITED: Number of folds for N-fold cross-validation
* public int nfolds;
*/
/* INHERITED: Keep cross-validation model predictions
* public boolean keep_cross_validation_predictions;
*/
/* INHERITED: Keep cross-validation fold assignment
* public boolean keep_cross_validation_fold_assignment;
*/
/* INHERITED: Allow parallel training of cross-validation models
* public boolean parallelize_cross_validation;
*/
/* INHERITED: Response column
* public ColSpecifierV3 response_column;
*/
/* INHERITED: Column with observation weights
* public ColSpecifierV3 weights_column;
*/
/* INHERITED: Offset column
* public ColSpecifierV3 offset_column;
*/
/* INHERITED: Column with cross-validation fold index assignment per observation
* public ColSpecifierV3 fold_column;
*/
/* INHERITED: Cross-validation fold assignment scheme, if fold_column is not specified
* public FoldAssignmentScheme fold_assignment;
*/
/* INHERITED: Ignored columns
* public String[] ignored_columns;
*/
/* INHERITED: Ignore constant columns
* public boolean ignore_const_cols;
*/
/* INHERITED: Whether to score during each iteration of model training
* public boolean score_each_iteration;
*/
/* INHERITED: Model checkpoint to resume training with
* public ModelKeyV3 checkpoint;
*/
/* INHERITED: Early stopping based on convergence of stopping_metric. Stop if simple moving average of length k of the stopping_metric does not improve for k:=stopping_rounds scoring events (0 to disable)
* public int stopping_rounds;
*/
/* INHERITED: Maximum allowed runtime in seconds for model training. Use 0 to disable.
* public double max_runtime_secs;
*/
/* INHERITED: Metric to use for early stopping (AUTO: logloss for classification, deviance for regression)
* public StoppingMetric stopping_metric;
*/
/* INHERITED: Relative tolerance for metric-based stopping criterion (stop if relative improvement is not at least this much)
* public double stopping_tolerance;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}