scikit-learn / scikit-learn
Files Coverage
__check_build 66.67%
_build_utils 38.68%
cluster 98.21%
compose 88.60%
covariance 96.37%
cross_decomposition 98.80%
datasets 82.43%
decomposition 97.79%
ensemble 92.66%
experimental 100.00%
feature_extraction 97.93%
feature_selection 99.09%
gaussian_process 88.81%
inspection 61.19%
linear_model 98.70%
manifold 95.57%
metrics 99.03%
mixture 98.96%
model_selection 98.60%
neighbors 98.67%
neural_network 99.04%
preprocessing 98.47%
semi_supervised 98.68%
svm 97.65%
tests 97.94%
tree 93.93%
utils 92.89%
__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 96.20%
multioutput.py 94.33%
naive_bayes.py 100.00%
pipeline.py 98.93%
random_projection.py 100.00%
setup.py 6.78%
Folder Totals (44 files) 95.72%
Project Totals (386 files) 95.72%
Loading