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Add tests to 100% coverage to Python

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This commit is contained in:
Ricardo Montañana Gómez
2022-12-05 10:55:15 +01:00
parent 54edd95e5b
commit 00453f628b
4 changed files with 56 additions and 43 deletions
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45
debug.cpp
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@@ -1,14 +1,49 @@
std::cout << "+++++++++++++++++++++++" << std::endl;
for (size_t i = 0; i < y.size(); i++)
{
for (size_t i = 0; i < y.size(); i++) {
printf("(%3.1f, %d)\n", X[indices.at(i)], y[indices.at(i)]);
}
std::cout << "+++++++++++++++++++++++" << std::endl;
std::cout << "Information Gain:" << std::endl;
auto nc = Metrics::numClasses(y, indices, 0, indices.size());
for (auto cutPoint = cutIdx.begin(); cutPoint != cutIdx.end(); ++cutPoint)
{
for (auto cutPoint = cutIdx.begin(); cutPoint != cutIdx.end(); ++cutPoint) {
std::cout << *cutPoint << " -> " << Metrics::informationGain(y, indices, 0, indices.size(), *cutPoint, nc) << std::endl;
// << Metrics::informationGain(y, 0, y.size(), *cutPoint, Metrics::numClasses(y, 0, y.size())) << std::endl;
}
}
def test(self) :
print("Calculating cut points in python for first feature")
yz = self.y_.copy()
xz = X[:, 0].copy()
xz = xz[np.argsort(X[:, 0])]
yz = yz[np.argsort(X[:, 0])]
cuts = []
for i in range(1, len(yz)) :
if yz[i] != yz[i - 1] and xz[i - 1] < xz[i] :
print(f"Cut point: ({xz[i-1]}, {xz[i]}) ({yz[i-1]}, {yz[i]})")
cuts.append((xz[i] + xz[i - 1]) / 2)
print("Cuts calculados en python: ", cuts)
print("-- Cuts calculados en C++ --")
print("Cut points for each feature in Iris dataset:")
for i in range(0, 1) :
# datax = self.X_[np.argsort(self.X_[:, i]), i]
# y_ = self.y_[np.argsort(self.X_[:, i])]
datax = self.X_[:, i]
y_ = self.y_
self.discretizer_.fit(datax, y_)
Xcutpoints = self.discretizer_.get_cut_points()
print(
f"New ({len(Xcutpoints)}):{self.features_[i]:20s}: "
f"{[i['toValue'] for i in Xcutpoints]}"
)
X_translated = [
f"{i['classNumber']} - ({i['start']}, {i['end']}) - "
f"({i['fromValue']}, {i['toValue']})"
for i in Xcutpoints
]
print(X_translated)
print("*******************************")
print("Disretized values:")
print(self.discretizer_.get_discretized_values())
print("*******************************")
return X