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93 lines
2.6 KiB
C
93 lines
2.6 KiB
C
/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_svm_sigmoid_predict_f32.c
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* Description: SVM Sigmoid Instance Initialization
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*
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* $Date: 23 April 2021
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* $Revision: V1.9.0
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*
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* Target Processor: Cortex-M and Cortex-A cores
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* -------------------------------------------------------------------- */
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/*
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* Copyright (C) 2010-2021 ARM Limited or its affiliates. All rights reserved.
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*
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the License); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an AS IS BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "dsp/svm_functions.h"
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#include <limits.h>
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#include <math.h>
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/**
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@ingroup groupSVM
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*/
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/**
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@defgroup sigmoidsvm Sigmoid SVM
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Sigmoid SVM classifier
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*/
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/**
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* @addtogroup sigmoidsvm
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* @{
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*/
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/**
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* @brief SVM sigmoid instance init function
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*
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* Classes are integer used as output of the function (instead of having -1,1
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* as class values).
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*
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* @param[in] S points to an instance of the rbf SVM structure.
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* @param[in] nbOfSupportVectors Number of support vectors
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* @param[in] vectorDimension Dimension of vector space
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* @param[in] intercept Intercept
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* @param[in] dualCoefficients Array of dual coefficients
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* @param[in] supportVectors Array of support vectors
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* @param[in] classes Array of 2 classes ID
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* @param[in] coef0 coeff0 (scikit-learn terminology)
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* @param[in] gamma gamma (scikit-learn terminology)
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* @return none.
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*
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*/
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void arm_svm_sigmoid_init_f32(arm_svm_sigmoid_instance_f32 *S,
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uint32_t nbOfSupportVectors,
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uint32_t vectorDimension,
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float32_t intercept,
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const float32_t *dualCoefficients,
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const float32_t *supportVectors,
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const int32_t *classes,
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float32_t coef0,
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float32_t gamma
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)
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{
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S->nbOfSupportVectors = nbOfSupportVectors;
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S->vectorDimension = vectorDimension;
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S->intercept = intercept;
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S->dualCoefficients = dualCoefficients;
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S->supportVectors = supportVectors;
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S->classes = classes;
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S->coef0 = coef0;
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S->gamma = gamma;
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}
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/**
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* @} end of sigmoidsvm group
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*/
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