81 lines
2.6 KiB
C
81 lines
2.6 KiB
C
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/******************************************************************************
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* @file bayes_functions_f16.h
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* @brief Public header file for CMSIS DSP Library
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* @version V1.9.0
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* @date 23 April 2021
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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) 2010-2020 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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#ifndef _BAYES_FUNCTIONS_F16_H_
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#define _BAYES_FUNCTIONS_F16_H_
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#include "arm_math_types_f16.h"
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#include "arm_math_memory.h"
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#include "dsp/none.h"
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#include "dsp/utils.h"
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#include "dsp/statistics_functions_f16.h"
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#ifdef __cplusplus
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extern "C"
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{
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#endif
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#if defined(ARM_FLOAT16_SUPPORTED)
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/**
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* @brief Instance structure for Naive Gaussian Bayesian estimator.
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*/
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typedef struct
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{
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uint32_t vectorDimension; /**< Dimension of vector space */
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uint32_t numberOfClasses; /**< Number of different classes */
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const float16_t *theta; /**< Mean values for the Gaussians */
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const float16_t *sigma; /**< Variances for the Gaussians */
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const float16_t *classPriors; /**< Class prior probabilities */
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float16_t epsilon; /**< Additive value to variances */
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} arm_gaussian_naive_bayes_instance_f16;
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/**
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* @brief Naive Gaussian Bayesian Estimator
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*
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* @param[in] S points to a naive bayes instance structure
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* @param[in] in points to the elements of the input vector.
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* @param[out] *pOutputProbabilities points to a buffer of length numberOfClasses containing estimated probabilities
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* @param[out] *pBufferB points to a temporary buffer of length numberOfClasses
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* @return The predicted class
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*
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*/
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uint32_t arm_gaussian_naive_bayes_predict_f16(const arm_gaussian_naive_bayes_instance_f16 *S,
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const float16_t * in,
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float16_t *pOutputProbabilities,
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float16_t *pBufferB);
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#endif /*defined(ARM_FLOAT16_SUPPORTED)*/
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#ifdef __cplusplus
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}
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#endif
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#endif /* ifndef _BAYES_FUNCTIONS_F16_H_ */
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