scikit-learn / scikit-learn
Files Coverage
__check_build 81.48%
_build_utils 43.40%
cluster 98.30%
compose 99.32%
covariance 96.37%
cross_decomposition 98.80%
datasets 82.73%
decomposition 98.00%
ensemble 92.94%
experimental 87.50%
feature_extraction 98.38%
feature_selection 99.09%
gaussian_process 88.81%
linear_model 98.85%
manifold 97.17%
metrics 99.33%
mixture 98.96%
model_selection 98.73%
neighbors 99.12%
neural_network 99.04%
preprocessing 99.45%
semi_supervised 98.68%
svm 97.65%
tests 99.22%
tree 94.67%
utils 95.51%
__init__.py 67.65%
_config.py 100.00%
base.py 99.03%
calibration.py 98.91%
discriminant_analysis.py 99.57%
dummy.py 98.40%
exceptions.py 100.00%
impute.py 98.15%
isotonic.py 99.07%
kernel_approximation.py 100.00%
kernel_ridge.py 97.56%
multiclass.py 95.04%
multioutput.py 94.33%
naive_bayes.py 100.00%
pipeline.py 98.81%
random_projection.py 100.00%
setup.py 7.02%
Folder Totals (43 files) 96.69%
Project Totals (384 files) 96.62%
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