Developer Guide and Reference

  • 2021.2
  • 03/26/2021
  • Public Content
Contents

kmeans_init_dense.cpp

/******************************************************************************* * Copyright 2020-2021 Intel 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. *******************************************************************************/ #include <iomanip> #include <iostream> #include "example_util/utils.hpp" #include "oneapi/dal/algo/kmeans.hpp" #include "oneapi/dal/algo/kmeans_init.hpp" #include "oneapi/dal/io/csv.hpp" namespace dal = oneapi::dal; template <typename Method> void run(const dal::table& x_train, const std::string& method_name) { constexpr std::int64_t cluster_count = 20; constexpr std::int64_t max_iteration_count = 1000; constexpr double accuracy_threshold = 0.01; const auto kmeans_init_desc = dal::kmeans_init::descriptor<float, Method>().set_cluster_count(cluster_count); const auto result_init = dal::compute(kmeans_init_desc, x_train); const auto kmeans_desc = dal::kmeans::descriptor<>() .set_cluster_count(cluster_count) .set_max_iteration_count(max_iteration_count) .set_accuracy_threshold(accuracy_threshold); const auto result_train = dal::train(kmeans_desc, x_train, result_init.get_centroids()); std::cout << "Method: " << method_name << std::endl; std::cout << "Max iteration count: " << max_iteration_count << ", Accuracy threshold: " << accuracy_threshold << std::endl; std::cout << "Iteration count: " << result_train.get_iteration_count() << ", Objective function value: " << result_train.get_objective_function_value() << '\n' << std::endl; } int main(int argc, char const* argv[]) { const auto train_data_file_name = get_data_path("kmeans_init_dense.csv"); const auto x_train = dal::read<dal::table>(dal::csv::data_source{ train_data_file_name }); run<dal::kmeans_init::method::dense>(x_train, "dense"); run<dal::kmeans_init::method::random_dense>(x_train, "random_dense"); run<dal::kmeans_init::method::plus_plus_dense>(x_train, "plus_plus_dense"); run<dal::kmeans_init::method::parallel_plus_dense>(x_train, "parallel_plus_dense"); return 0; }

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