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water.bindings.pojos.GrepParametersV3 Maven / Gradle / Ivy

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package water.bindings.pojos;

import com.google.gson.Gson;
public class GrepParametersV3 extends ModelParametersSchema {
    /** regex */
    public String regex;

    /* 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);
    }
}




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