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1   /*
2    * Copyright (C) 2015 Alberto Irurueta Carro (alberto@irurueta.com)
3    *
4    * Licensed under the Apache License, Version 2.0 (the "License");
5    * you may not use this file except in compliance with the License.
6    * You may obtain a copy of the License at
7    *
8    *         http://www.apache.org/licenses/LICENSE-2.0
9    *
10   * Unless required by applicable law or agreed to in writing, software
11   * distributed under the License is distributed on an "AS IS" BASIS,
12   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13   * See the License for the specific language governing permissions and
14   * limitations under the License.
15   */
16  package com.irurueta.numerical.fitting;
17  
18  import com.irurueta.numerical.NotReadyException;
19  
20  /**
21   * Base class for function fitters used to estimate function parameters along
22   * with their covariance matrix and chi square value
23   */
24  public abstract class Fitter {
25  
26      /**
27       * Indicates whether result has been estimated and is available for
28       * retrieval
29       */
30      protected boolean resultAvailable;
31  
32      /**
33       * Returns boolean indicating whether result has been estimated and is
34       * available for retrieval
35       *
36       * @return true if result has been estimated and is available for retrieval
37       */
38      public boolean isResultAvailable() {
39          return resultAvailable;
40      }
41  
42      /**
43       * Indicates whether this instance is ready because enough input data has
44       * been provided to start the fitting process
45       *
46       * @return true if this fitter is ready, false otherwise
47       */
48      public abstract boolean isReady();
49  
50      /**
51       * Fits a function to provided data so that parameters associated to that
52       * function can be estimated along with their covariance matrix and chi
53       * square value
54       *
55       * @throws FittingException  if fitting fails
56       * @throws NotReadyException if enough input data has not yet been provided
57       */
58      public abstract void fit() throws FittingException, NotReadyException;
59  }