C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

logistic_regression_model.h
1 /* file: logistic_regression_model.h */
2 /*******************************************************************************
3 * Copyright 2014-2020 Intel Corporation
4 *
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
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14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 *******************************************************************************/
17 
18 /*
19 //++
20 // Implementation of logistic regression model class
21 //--
22 */
23 
24 #ifndef __LOGISTIC_REGRESIION_MODEL_H__
25 #define __LOGISTIC_REGRESIION_MODEL_H__
26 
27 #include "algorithms/classifier/classifier_model.h"
28 
29 namespace daal
30 {
31 namespace algorithms
32 {
41 namespace logistic_regression
42 {
46 namespace interface1
47 {
60 class DAAL_EXPORT Model : public classifier::Model
61 {
62 public:
63  DECLARE_MODEL(Model, classifier::Model)
64 
65 
69  virtual size_t getNumberOfBetas() const = 0;
70 
75  virtual bool getInterceptFlag() const = 0;
76 
81  virtual data_management::NumericTablePtr getBeta() = 0;
82 
87  virtual const data_management::NumericTablePtr getBeta() const = 0;
88 
89 protected:
90  Model() : classifier::Model()
91  {}
92 };
94 typedef services::SharedPtr<Model> ModelPtr;
95 } // namespace interface1
96 using interface1::Model;
97 using interface1::ModelPtr;
98 
99 } // namespace logistic_regression
100 } // namespace algorithms
101 } // namespace daal
102 #endif
daal::algorithms::logistic_regression::interface1::Model
Model of the classifier trained by the logistic_regression::training::Batch algorithm.
Definition: logistic_regression_model.h:60

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