scikit-learn / scikit-learn
Files Coverage
__check_build 66.67%
_build_utils 25.47%
cluster 98.21%
compose 88.40%
covariance 96.37%
cross_decomposition 98.80%
datasets 82.43%
decomposition 97.79%
ensemble 90.62%
experimental 100.00%
feature_extraction 97.83%
feature_selection 99.09%
gaussian_process 88.74%
linear_model 98.66%
manifold 95.38%
metrics 98.94%
mixture 98.96%
model_selection 98.55%
neighbors 98.63%
neural_network 99.04%
preprocessing 98.47%
semi_supervised 98.68%
svm 97.57%
tests 97.93%
tree 93.88%
utils 92.39%
__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 97.92%
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) 95.68%
Project Totals (383 files) 95.68%
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