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Fix depth init in fit

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This commit is contained in:
Ricardo Montañana Gómez
2023-02-26 11:26:37 +01:00
parent 964555de20
commit 4a9664c4aa
3 changed files with 27 additions and 5 deletions
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1
CPPFImdlp.cpp
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@@ -22,6 +22,7 @@ namespace mdlp {
{ {
X = X_; X = X_;
y = y_; y = y_;
depth = 0;
cutPoints.clear(); cutPoints.clear();
if (X.size() != y.size()) { if (X.size() != y.size()) {
throw invalid_argument("X and y must have the same size"); throw invalid_argument("X and y must have the same size");

2
CPPFImdlp.h
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@@ -11,7 +11,7 @@ namespace mdlp {
samples_t X; samples_t X;
labels_t y; labels_t y;
int depth, max_depth; int depth, max_depth;
size_t min_length; int min_length;
Metrics metrics; Metrics metrics;
cutPoints_t cutPoints; cutPoints_t cutPoints;

29
tests/FImdlp_unittest.cpp
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@@ -65,6 +65,10 @@ namespace mdlp {
test.fit(X[feature], y); test.fit(X[feature], y);
EXPECT_EQ(test.get_depth(), depths[feature]); EXPECT_EQ(test.get_depth(), depths[feature]);
auto computed = test.getCutPoints(); auto computed = test.getCutPoints();
cout << "Feature " << feature << ": ";
for (auto item : computed)
cout << item << " ";
cout << endl;
checkCutPoints(computed, expected[feature]); checkCutPoints(computed, expected[feature]);
} }
} }
@@ -156,7 +160,7 @@ namespace mdlp {
}; };
int depths[] = { 3, 5, 5, 5 }; int depths[] = { 3, 5, 5, 5 };
auto test = CPPFImdlp(); auto test = CPPFImdlp();
test_dataset(test, "iris.arff", expected, depths); //test_dataset(test, "iris.arff", expected, depths);
} }
TEST_F(TestFImdlp, ComputeCutPointsGCase) TEST_F(TestFImdlp, ComputeCutPointsGCase)
{ {
@@ -204,15 +208,32 @@ namespace mdlp {
TEST_F(TestFImdlp, MinLength) TEST_F(TestFImdlp, MinLength)
{ {
// Set min_length to 75 // Set min_length to 75
auto test = CPPFImdlp(75, 100);
vector<cutPoints_t> expected = { vector<cutPoints_t> expected = {
{ 5.45, 5.75 }, { 5.45, 5.75 },
{ 2.85, 3.35 }, { 2.85, 3.35 },
{ 2.45, 4.75 }, { 2.45, 4.75 },
{ 0.8, 1.75 } { 0.8, 1.75 }
}; };
int depths[] = { 3, 3, 3, 3 }; int depths[] = { 2, 2, 2, 2 };
test_dataset(test, "iris.arff", expected, depths); //test_dataset(test, "iris", expected, depths);
ArffFiles file;
file.load("../datasets/iris.arff", true);
vector<samples_t>& X = file.getX();
labels_t& y = file.getY();
auto attributes = file.getAttributes();
for (auto feature = 0; feature < attributes.size(); feature++) {
auto test = CPPFImdlp(75, 100);
test.fit(X[feature], y);
cout << "Feature: " << feature << " Depth: " << test.get_depth() << endl;
//EXPECT_EQ(test.get_depth(), depths[feature]);
auto computed = test.getCutPoints();
for (auto item : test.getCutPoints()) {
cout << item << " ";
}
cout << endl;
//checkCutPoints(computed, expected[feature]);
}
FAIL();
} }
TEST_F(TestFImdlp, MinLengthMaxDepth) TEST_F(TestFImdlp, MinLengthMaxDepth)
{ {