svr.hpp

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/*
 * Copyright (c) 2019-2023, NVIDIA CORPORATION.
 *
 * 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
 *
 *     http://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.
 */
 
#pragma once
 
#include <cublas_v2.h>
#include <cuml/matrix/kernelparams.h>
 
namespace ML {
namespace SVM {
 
template <typename math_t>
struct SvmModel;
struct SvmParameter;
 
// Forward declarations of the stateless API
template <typename math_t>
void svrFit(const raft::handle_t& handle,
            math_t* X,
            int n_rows,
            int n_cols,
            math_t* y,
            const SvmParameter& param,
            MLCommon::Matrix::KernelParams& kernel_params,
            SvmModel<math_t>& model,
            const math_t* sample_weight = nullptr);
 
template <typename math_t>
void svrFitSparse(const raft::handle_t& handle,
                  int* indptr,
                  int* indices,
                  math_t* data,
                  int n_rows,
                  int n_cols,
                  int nnz,
                  math_t* y,
                  const SvmParameter& param,
                  raft::distance::kernels::KernelParams& kernel_params,
                  SvmModel<math_t>& model,
                  const math_t* sample_weight = nullptr);
 
// For prediction we use svcPredict
 
};  // end namespace SVM
};  // end namespace ML