ols_mg.hpp

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/*
 * SPDX-FileCopyrightText: Copyright (c) 2020-2024, NVIDIA CORPORATION.
 * SPDX-License-Identifier: Apache-2.0
 */
 
#pragma once
 
#include <cuml/linear_model/glm.hpp>
 
#include <cumlprims/opg/matrix/data.hpp>
#include <cumlprims/opg/matrix/part_descriptor.hpp>
 
namespace ML {
namespace OLS {
namespace opg {
 
void fit(raft::handle_t& handle,
         std::vector<MLCommon::Matrix::Data<float>*>& input_data,
         MLCommon::Matrix::PartDescriptor& input_desc,
         std::vector<MLCommon::Matrix::Data<float>*>& labels,
         float* coef,
         float* intercept,
         bool fit_intercept,
         bool normalize,
         int algo,
         bool verbose);
 
void fit(raft::handle_t& handle,
         std::vector<MLCommon::Matrix::Data<double>*>& input_data,
         MLCommon::Matrix::PartDescriptor& input_desc,
         std::vector<MLCommon::Matrix::Data<double>*>& labels,
         double* coef,
         double* intercept,
         bool fit_intercept,
         bool normalize,
         int algo,
         bool verbose);
 
void predict(raft::handle_t& handle,
             MLCommon::Matrix::RankSizePair** rank_sizes,
             size_t n_parts,
             MLCommon::Matrix::Data<float>** input,
             size_t n_rows,
             size_t n_cols,
             float* coef,
             float intercept,
             MLCommon::Matrix::Data<float>** preds,
             bool verbose);
 
void predict(raft::handle_t& handle,
             MLCommon::Matrix::RankSizePair** rank_sizes,
             size_t n_parts,
             MLCommon::Matrix::Data<double>** input,
             size_t n_rows,
             size_t n_cols,
             double* coef,
             double intercept,
             MLCommon::Matrix::Data<double>** preds,
             bool verbose);
 
};  // end namespace opg
};  // end namespace OLS
};  // end namespace ML