Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
S
scikit-learn
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Model registry
Operate
Environments
Monitor
Incidents
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
Community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
Ian Johnson
scikit-learn
Repository
1f781e64a2269998a23f8d46260edcb9e3af6c7f
Select Git revision
Branches
19
master
default
protected
0.19.X
discrete
0.18.X
ignore_lambda_to_diff_errors
0.17.X
authors-update
0.16.X
0.15.X
0.14.X
debian
0.13.X
0.12.X
0.11.X
0.10.X
0.9.X
0.6.X
0.7.X
0.8.X
Tags
20
0.19.1
0.19.0
0.19b2
0.19b1
0.19-branching
0.18.2
0.18.1
0.18
0.18rc2
0.18rc1
0.18rc
0.17.1-1
0.17.1
debian/0.17.0-4
debian/0.17.0-3
debian/0.17.0-1
0.17
debian/0.17.0_b1+git14-g4e6829c-1
debian/0.17.0_b1-1
0.17b1
39 results
scikit-learn
sklearn
sklearn
Find file
Code
Clone with SSH
Clone with HTTPS
Open in your IDE
Visual Studio Code (SSH)
Visual Studio Code (HTTPS)
IntelliJ IDEA (SSH)
IntelliJ IDEA (HTTPS)
Download source code
zip
tar.gz
tar.bz2
tar
Download this directory
zip
tar.gz
tar.bz2
tar
Download
Download source code
zip
tar.gz
tar.bz2
tar
Code
Clone with SSH
Clone with HTTPS
Actions
Compare
Name
Last commit
Last update
..
__check_build
_build_utils
cluster
covariance
cross_decomposition
datasets
decomposition
ensemble
externals
feature_extraction
feature_selection
gaussian_process
linear_model
manifold
metrics
mixture
model_selection
neighbors
neural_network
preprocessing
semi_supervised
src/cblas
svm
tests
tree
utils
__init__.py
_isotonic.pyx
base.py
calibration.py
cross_validation.py
discriminant_analysis.py
dummy.py
exceptions.py
grid_search.py
isotonic.py
kernel_approximation.py
kernel_ridge.py
learning_curve.py
multiclass.py
multioutput.py
naive_bayes.py
pipeline.py
random_projection.py
setup.py