/* ----------------------------------------------------------------------
 * Project:      CMSIS DSP Library
 * Title:        arm_svm_polynomial_predict_f32.c
 * Description:  SVM Polynomial Classifier
 *
 *
 * Target Processor: Cortex-M and Cortex-A cores
 * -------------------------------------------------------------------- */
/*
 * Copyright (C) 2010-2019 ARM Limited or its affiliates. All rights reserved.
 *
 * SPDX-License-Identifier: Apache-2.0
 *
 * Licensed under the Apache License, Version 2.0 (the License); you may
 * not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an AS IS BASIS, WITHOUT
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include "svmDef.hpp"

#define STEP(x) (x) <= 0 ? 0 : 1

static float32_t arm_exponent_f32(float32_t x, int32_t nb)
{
    float32_t r = x;
    nb --;
    while(nb > 0)
    {
        r = r * x;
        nb--;
    }
    return(r);
}

void arm_svm_polynomial_predict_f32(
    const arm_svm_polynomial_instance_f32 *S,
    const float32_t * in,
    float32_t *pResult)
{
    float32_t sum=S->intercept;
    float32_t dot=0;
    uint32_t i,j;
    const float32_t *pSupport = S->supportVectors;

    for(i=0; i < S->nbOfSupportVectors; i++)
    {
        dot=0;
        for(j=0; j < S->vectorDimension; j++)
        {
            dot = dot + in[j]* *pSupport++;
        }
        sum += S->dualCoefficients[i] * arm_exponent_f32(S->gamma * dot + S->coef0, S->degree);
    }

    /*
      Original CMSIS-DSP is returning the class.
      Here we are returning the value and the class is computed by the client.
 
    */
    *pResult=sum;
}