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https://github.com/Doctorado-ML/FImdlp.git
synced 2025-08-17 16:35:52 +00:00
Refactor module methods to conform fit-transform
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@@ -27,6 +27,25 @@ namespace mdlp
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{
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return cutPoints;
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}
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std::vector<float> CPPFImdlp::getDiscretizedValues()
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{
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return xDiscretized;
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}
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void CPPFImdlp::fit(std::vector<float> &X, std::vector<int> &y)
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{
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this->X = X;
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this->y = y;
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this->indices = sortIndices(X);
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computeCutPoints();
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filterCutPoints();
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applyCutPoints();
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}
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std::vector<float> &CPPFImdlp::transform(std::vector<float> &X)
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{
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std::vector<size_t> indices_transform = sortIndices(X);
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applyCutPoints();
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return xDiscretized;
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}
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void CPPFImdlp::debugPoints(std::vector<float> &X, std::vector<int> &y)
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{
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std::cout << "+++++++++++++++++++++++" << std::endl;
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@@ -37,13 +56,32 @@ namespace mdlp
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printf("(%3lu, %3lu) -> (%3.1f, %d)\n", i, indices[i], X[indices[i]], y[indices[i]]);
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}
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std::cout << "+++++++++++++++++++++++" << std::endl;
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computeCutPoints(X, y);
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fit(X, y);
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for (auto item : cutPoints)
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{
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std::cout << item << " X[" << item.end << "]=" << X[item.end] << std::endl;
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}
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}
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void CPPFImdlp::computeCutPoints(std::vector<float> &X_, std::vector<int> &y_)
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void CPPFImdlp::applyCutPoints()
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{
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}
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bool CPPFImdlp::evaluateCutPoint(CutPointBody point)
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{
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return true;
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}
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void CPPFImdlp::filterCutPoints()
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{
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std::vector<CutPointBody> filtered;
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for (auto item : cutPoints)
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{
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if (evaluateCutPoint(item))
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{
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filtered.push_back(item);
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}
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}
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cutPoints = filtered;
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}
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void CPPFImdlp::computeCutPoints()
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{
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std::vector<CutPointBody> cutPts;
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@@ -52,9 +90,7 @@ namespace mdlp
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float xPrev, xCur, xPivot;
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int yPrev, yCur, yPivot;
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size_t idxPrev, idxPivot, idx, numElements, start;
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X = X_;
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y = y_;
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indices = sortIndices(X);
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xCur = xPrev = X[indices[0]];
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yCur = yPrev = y[indices[0]];
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numElements = indices.size() - 1;
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@@ -117,14 +153,13 @@ namespace mdlp
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}
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cutPoints = cutPts;
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}
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std::vector<float> CPPFImdlp::computeCutPointsAnt(std::vector<float> &X, std::vector<int> &y)
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void CPPFImdlp::computeCutPointsAnt()
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{
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std::vector<float> cutPts;
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std::vector<int> cutIdx;
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float xPrev, cutPoint;
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int yPrev;
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size_t idxPrev;
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std::vector<size_t> indices = sortIndices(X);
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xPrev = X.at(indices[0]);
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yPrev = y.at(indices[0]);
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idxPrev = indices[0];
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@@ -153,7 +188,7 @@ namespace mdlp
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yPrev = y.at(*index);
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idxPrev = *index;
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}
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return cutPts;
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// cutPoints = cutPts;
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}
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// Argsort from https://stackoverflow.com/questions/1577475/c-sorting-and-keeping-track-of-indexes
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std::vector<size_t> CPPFImdlp::sortIndices(std::vector<float> &X)
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@@ -24,15 +24,21 @@ namespace mdlp
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protected:
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std::vector<size_t> sortIndices(std::vector<float> &);
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bool evaluateCutPoint(CutPointBody);
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void filterCutPoints();
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void computeCutPoints();
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void applyCutPoints();
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void computeCutPointsAnt();
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public:
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CPPFImdlp();
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CPPFImdlp(int, bool debug = false);
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~CPPFImdlp();
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std::vector<CutPointBody> getCutPoints();
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void computeCutPoints(std::vector<float> &, std::vector<int> &);
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std::vector<float> computeCutPointsAnt(std::vector<float> &, std::vector<int> &);
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std::vector<float> getDiscretizedValues();
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void debugPoints(std::vector<float> &, std::vector<int> &);
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void fit(std::vector<float> &, std::vector<int> &);
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std::vector<float> &transform(std::vector<float> &);
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};
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}
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#endif
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@@ -11,10 +11,11 @@ cdef extern from "CPPFImdlp.h" namespace "mdlp":
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cdef cppclass CPPFImdlp:
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CPPFImdlp() except +
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CPPFImdlp(int, bool) except +
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void fit(vector[float]&, vector[int]&)
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vector[float] transform(vector[float]&)
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vector[float] getDiscretizedValues()
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vector[CutPointBody] getCutPoints()
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vector[float] cutPointsAnt(vector[float]&, vector[int]&)
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void debugPoints(vector[float]&, vector[int]&)
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void computeCutPoints(vector[float]&, vector[int]&)
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class PCutPointBody:
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@@ -30,11 +31,14 @@ cdef class CFImdlp:
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self.thisptr = new CPPFImdlp(precision, debug)
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def __dealloc__(self):
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del self.thisptr
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def cut_points(self, X, y):
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self.thisptr.computeCutPoints(X, y)
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def fit(self, X, y):
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self.thisptr.fit(X, y)
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def transform(self, X):
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return self.thisptr.transform(X)
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def get_discretized_values(self):
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return self.thisptr.getDiscretizedValues()
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def get_cut_points(self, X, y):
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return self.thisptr.getCutPoints()
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def cut_points_ant(self, X, y):
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return self.get_cut_points(X, y)
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def debug_points(self, X, y):
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return self.thisptr.debugPoints(X, y)
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