BayesNet/AODE.cc.gcov.html at ae469b8146c2e68b1c1e06acc7d267e255389c45

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move test libraries to test folder

2024-04-30 00:52:09 +02:00

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LCOV - code coverage report

Current view:	top level - bayesnet/ensembles - AODE.cc (source / functions)		Coverage	Total	Hit
Test:	coverage.info	Lines:	100.0 %	20	20
Test Date:	2024-04-29 20:48:03	Functions:	100.0 %	4	4

            Line data    Source code

       1              : // ***************************************************************
       2              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
       3              : // SPDX-FileType: SOURCE
       4              : // SPDX-License-Identifier: MIT
       5              : // ***************************************************************
       6              : 
       7              : #include "AODE.h"
       8              : 
       9              : namespace bayesnet {
      10          209 :     AODE::AODE(bool predict_voting) : Ensemble(predict_voting)
      11              :     {
      12          418 :         validHyperparameters = { "predict_voting" };
      13              : 
      14          627 :     }
      15           11 :     void AODE::setHyperparameters(const nlohmann::json& hyperparameters_)
      16              :     {
      17           11 :         auto hyperparameters = hyperparameters_;
      18           11 :         if (hyperparameters.contains("predict_voting")) {
      19           11 :             predict_voting = hyperparameters["predict_voting"];
      20           11 :             hyperparameters.erase("predict_voting");
      21              :         }
      22           11 :         Classifier::setHyperparameters(hyperparameters);
      23           11 :     }
      24           66 :     void AODE::buildModel(const torch::Tensor& weights)
      25              :     {
      26           66 :         models.clear();
      27           66 :         significanceModels.clear();
      28          517 :         for (int i = 0; i < features.size(); ++i) {
      29          451 :             models.push_back(std::make_unique<SPODE>(i));
      30              :         }
      31           66 :         n_models = models.size();
      32           66 :         significanceModels = std::vector<double>(n_models, 1.0);
      33           66 :     }
      34           11 :     std::vector<std::string> AODE::graph(const std::string& title) const
      35              :     {
      36           11 :         return Ensemble::graph(title);
      37              :     }
      38              : }

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7.6 KiB Raw Blame History

7.6 KiB

Raw Blame History