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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *      http://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.
 */

/*
 * This is not the original file distributed by the Apache Software Foundation
 * It has been modified by the Hipparchus project
 */

package org.hipparchus.stat.ranking;

/**
 * Strategies for handling NaN values in rank transformations.
 * 
    *
  • MINIMAL - NaNs are treated as minimal in the ordering, equivalent to * (that is, tied with) Double.NEGATIVE_INFINITY.
  • *
  • MAXIMAL - NaNs are treated as maximal in the ordering, equivalent to * Double.POSITIVE_INFINITY
  • *
  • REMOVED - NaNs are removed before the rank transform is applied
  • *
  • FIXED - NaNs are left "in place," that is the rank transformation is * applied to the other elements in the input array, but the NaN elements * are returned unchanged.
  • *
  • FAILED - If any NaN is encountered in the input array, an appropriate * exception is thrown
  • *
* */ public enum NaNStrategy { /** NaNs are considered minimal in the ordering */ MINIMAL, /** NaNs are considered maximal in the ordering */ MAXIMAL, /** NaNs are removed before computing ranks */ REMOVED, /** NaNs are left in place */ FIXED, /** NaNs result in an exception */ FAILED }




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