/*******************************************************************************
 * Copyright (c) 2015-2018 Skymind, Inc.
 *
 * This program and the accompanying materials are made available under the
 * terms of the Apache License, Version 2.0 which is available at
 * https://www.apache.org/licenses/LICENSE-2.0.
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
 * License for the specific language governing permissions and limitations
 * under the License.
 *
 * SPDX-License-Identifier: Apache-2.0
 ******************************************************************************/

package org.deeplearning4j.ui.stats.api;

import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;

import java.io.Serializable;

/**
 * Histogram: values for a single histogram.
 * Assumption here is that the N bins are equally split between the min and max.
 * So, for nBins = 3, we have: Step = (max-min)/3.
 * First bin have bounds (min, min + 1 * step); second bin would have bounds (min + 1 * step, min + 2 * step) and so on
 *
 * @author Alex Black
 */
@AllArgsConstructor
@NoArgsConstructor
@Data
public class Histogram implements Serializable {
    private double min;
    private double max;
    private int nBins;
    private int[] binCounts;
}
