|
C
|
Statistic\Covariance::fromDataset()
|
0
|
29
|
16
|
0
|
0
|
0
|
|
C
|
LinearAlgebra\LUDecomposition::__construct()
|
0
|
35
|
14
|
0
|
0
|
0
|
|
C
|
Classification\DecisionTree::getSplitLeaf()
|
0
|
33
|
12
|
0
|
0
|
0
|
|
B
|
Phpml\Math\Comparison::compare()
|
0
|
21
|
11
|
0
|
0
|
0
|
|
B
|
LinearAlgebra\LUDecomposition::solve()
|
0
|
17
|
10
|
0
|
0
|
0
|
|
B
|
Linear\DecisionStump::trainBinary()
|
0
|
29
|
9
|
0
|
0
|
0
|
|
B
|
DimensionReduction\PCA::__construct()
|
0
|
10
|
9
|
0
|
0
|
0
|
|
B
|
Phpml\Tree\CART::grow()
|
0
|
36
|
9
|
1
|
0
|
0
|
|
B
|
Statistic\Covariance::fromXYArrays()
|
0
|
16
|
9
|
0
|
0
|
0
|
|
B
|
DimensionReduction\LDA::__construct()
|
0
|
10
|
9
|
0
|
0
|
0
|
|
B
|
RandomForest::setFeatureSubsetRatio()
|
0
|
8
|
9
|
0
|
0
|
0
|
|
B
|
DecisionTree\DecisionTreeLeaf::getHTML()
|
0
|
26
|
8
|
0
|
0
|
0
|
|
B
|
Clustering\KMeans\Space::getBoundaries()
|
0
|
11
|
8
|
0
|
0
|
0
|
|
B
|
DecisionStump::calculateErrorRate()
|
0
|
22
|
8
|
0
|
0
|
0
|
|
B
|
Clustering\KMeans\Space::iterate()
|
0
|
21
|
8
|
0
|
0
|
0
|