Add model selection to b_best to filter results
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@@ -6,8 +6,8 @@ using json = nlohmann::json;
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namespace platform {
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class BestResults {
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public:
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explicit BestResults(const std::string& path, const std::string& score, const std::string& model, bool friedman, double significance = 0.05)
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: path(path), score(score), model(model), friedman(friedman), significance(significance)
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explicit BestResults(const std::string& path, const std::string& score, const std::string& model, const std::string& dataset, bool friedman, double significance = 0.05)
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: path(path), score(score), model(model), dataset(dataset), friedman(friedman), significance(significance)
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{
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}
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std::string build();
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@@ -27,6 +27,7 @@ namespace platform {
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std::string path;
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std::string score;
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std::string model;
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std::string dataset;
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bool friedman;
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double significance;
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int maxModelName = 0;
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