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refactor system types in library
Add new test taken from join_fit in FImdlp python Update instructions in README
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@@ -128,8 +128,8 @@ namespace mdlp {
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// Cutpoints are always on boundaries (definition 2)
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if (y[indices[idx]] == y[indices[idx - 1]])
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continue;
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entropy_left = precision_t(idx - start) / static_cast<float>(elements) * metrics.entropy(start, idx);
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entropy_right = precision_t(end - idx) / static_cast<float>(elements) * metrics.entropy(idx, end);
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entropy_left = precision_t(idx - start) / static_cast<precision_t>(elements) * metrics.entropy(start, idx);
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entropy_right = precision_t(end - idx) / static_cast<precision_t>(elements) * metrics.entropy(idx, end);
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if (entropy_left + entropy_right < minEntropy) {
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minEntropy = entropy_left + entropy_right;
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candidate = idx;
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@@ -155,8 +155,8 @@ namespace mdlp {
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ent1 = metrics.entropy(start, cut);
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ent2 = metrics.entropy(cut, end);
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ig = metrics.informationGain(start, cut, end);
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delta = static_cast<float>(log2(pow(3, precision_t(k)) - 2) -
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(precision_t(k) * ent - precision_t(k1) * ent1 - precision_t(k2) * ent2));
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delta = static_cast<precision_t>(log2(pow(3, precision_t(k)) - 2) -
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(precision_t(k) * ent - precision_t(k1) * ent1 - precision_t(k2) * ent2));
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precision_t term = 1 / N * (log2(N - 1) + delta);
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return ig > term;
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}
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