Activate best score in odte
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@ -125,7 +125,7 @@ namespace bayesnet {
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// Step 0: Set the finish condition
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// Step 0: Set the finish condition
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// if not repeatSparent a finish condition is run out of features
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// if not repeatSparent a finish condition is run out of features
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// n_models == maxModels
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// n_models == maxModels
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// epsiolon sub t > 0.5 => inverse the weights policy
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// epsilon sub t > 0.5 => inverse the weights policy
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// validation error is not decreasing
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// validation error is not decreasing
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while (!exitCondition) {
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while (!exitCondition) {
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// Step 1: Build ranking with mutual information
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// Step 1: Build ranking with mutual information
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@ -162,7 +162,6 @@ namespace platform {
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maxHyper = max(maxHyper, (int)item.value().at(1).dump().size());
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maxHyper = max(maxHyper, (int)item.value().at(1).dump().size());
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maxFileName = max(maxFileName, (int)item.value().at(2).get<string>().size());
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maxFileName = max(maxFileName, (int)item.value().at(2).get<string>().size());
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}
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}
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cout << "Hola" << endl;
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stringstream oss;
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stringstream oss;
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oss << Colors::GREEN() << "Best results for " << model << " as of " << date << endl;
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oss << Colors::GREEN() << "Best results for " << model << " as of " << date << endl;
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cout << oss.str();
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cout << oss.str();
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@ -11,7 +11,7 @@ namespace platform {
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{
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{
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static map<pair<string, string>, pair<string, double>> data = {
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static map<pair<string, string>, pair<string, double>> data = {
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{{"discretiz", "accuracy"}, {"STree_default (linear-ovo)", 22.109799}},
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{{"discretiz", "accuracy"}, {"STree_default (linear-ovo)", 22.109799}},
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//{{"odte", "accuracy"}, {"STree_default (linear-ovo)", 22.109799}},
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{{"odte", "accuracy"}, {"STree_default (linear-ovo)", 22.109799}},
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};
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};
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auto env = platform::DotEnv();
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auto env = platform::DotEnv();
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string experiment = env.get("experiment");
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string experiment = env.get("experiment");
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@ -1,6 +1,5 @@
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#include "Results.h"
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#include "Results.h"
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#include <algorithm>
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#include <algorithm>
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#include <iostream>
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namespace platform {
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namespace platform {
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Results::Results(const string& path, const string& model, const string& score, bool complete, bool partial) :
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Results::Results(const string& path, const string& model, const string& score, bool complete, bool partial) :
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