/*
 * This file is part of ELKI:
 * Environment for Developing KDD-Applications Supported by Index-Structures
 *
 * Copyright (C) 2022
 * ELKI Development Team
 *
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Affero General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
 * GNU Affero General Public License for more details.
 *
 * You should have received a copy of the GNU Affero General Public License
 * along with this program. If not, see <http://www.gnu.org/licenses/>.
 */
package elki.math.statistics.distribution.estimator;

import elki.math.statistics.distribution.Distribution;
import elki.utilities.datastructures.arraylike.DoubleArrayAdapter;
import elki.utilities.datastructures.arraylike.NumberArrayAdapter;

/**
 * Estimate distribution parameters from a sample.
 * 
 * @author Erich Schubert
 * @since 0.6.0
 * 
 * @param <D> Distribution type
 */
public interface DistributionEstimator<D extends Distribution> {
  /**
   * General form of the parameter estimation
   * 
   * @param data Data set
   * @param adapter Number array adapter
   * @return Estimated distribution
   */
  <A> D estimate(A data, NumberArrayAdapter<?, A> adapter);

  /**
   * General form of the parameter estimation
   * 
   * @param data Data set
   * @return Estimated distribution
   */
  default D estimate(double[] data) {
    return estimate(data, DoubleArrayAdapter.STATIC);
  }

  /**
   * Get the class that is produced by the estimator.
   * 
   * @return Distribution class
   */
  Class<? super D> getDistributionClass();
}
