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itkPreconditionedASGDOptimizer.h
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1/*=========================================================================
2 *
3 * Copyright UMC Utrecht and contributors
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.txt
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,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 *
17 *=========================================================================*/
18#ifndef itkPreconditionedASGDOptimizer_h
19#define itkPreconditionedASGDOptimizer_h
20
21#include "../StandardGradientDescent/itkStandardGradientDescentOptimizer.h"
22
23namespace itk
24{
71{
72public:
74
78 using Pointer = SmartPointer<Self>;
79 using ConstPointer = SmartPointer<const Self>;
80
82 itkNewMacro(Self);
83
86
88 using Superclass::MeasureType;
89 using Superclass::ParametersType;
90 using Superclass::DerivativeType;
91 using Superclass::CostFunctionType;
96
98 itkSetMacro(UseAdaptiveStepSizes, bool);
99 itkGetConstMacro(UseAdaptiveStepSizes, bool);
100
103 itkSetMacro(SigmoidMax, double);
104 itkGetConstMacro(SigmoidMax, double);
105
108 itkSetMacro(SigmoidMin, double);
109 itkGetConstMacro(SigmoidMin, double);
110
113 itkSetMacro(SigmoidScale, double);
114 itkGetConstMacro(SigmoidScale, double);
115
117 itkGetConstReferenceMacro(PreconditionVector, ParametersType);
118
119protected:
121 ~PreconditionedASGDOptimizer() override = default;
122
130 void
132
135 ParametersType m_PreconditionVector;
137
138private:
141 double m_SigmoidMax{ 1.0 };
142 double m_SigmoidMin{ -0.8 };
143 double m_SigmoidScale{ 1e-8 };
144};
145
146} // end namespace itk
147
148#endif // end #ifndef itkPreconditionedASGDOptimizer_h
This class implements a gradient descent optimizer with adaptive gain.
~PreconditionedASGDOptimizer() override=default
ITK_DISALLOW_COPY_AND_MOVE(PreconditionedASGDOptimizer)
A cost function that applies a scaling to another cost function.
This class implements a gradient descent optimizer with a decaying gain.


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