GitHub - elixir-code/Sklearn-Large: Scaling Sklearn algorithms for large datasets using HDF5 library

elixir-code / Sklearn-Large Public

Scaling Sklearn algorithms for large datasets using HDF5 library

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Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
__check_build		__check_build
__pycache__		__pycache__
_build_utils		_build_utils
cluster		cluster
covariance		covariance
cross_decomposition		cross_decomposition
datasets		datasets
decomposition		decomposition
ensemble		ensemble
externals		externals
feature_extraction		feature_extraction
feature_selection		feature_selection
gaussian_process		gaussian_process
linear_model		linear_model
manifold		manifold
metrics		metrics
mixture		mixture
model_selection		model_selection
neighbors		neighbors
neural_network		neural_network
preprocessing		preprocessing
semi_supervised		semi_supervised
svm		svm
tests		tests
tree		tree
utils		utils
__init__.py		__init__.py
_isotonic.cpython-35m-x86_64-linux-gnu.so		_isotonic.cpython-35m-x86_64-linux-gnu.so
base.py		base.py
calibration.py		calibration.py
cross_validation.py		cross_validation.py
discriminant_analysis.py		discriminant_analysis.py
dummy.py		dummy.py
exceptions.py		exceptions.py
grid_search.py		grid_search.py
isotonic.py		isotonic.py
kernel_approximation.py		kernel_approximation.py
kernel_ridge.py		kernel_ridge.py
lda.py		lda.py
learning_curve.py		learning_curve.py
multiclass.py		multiclass.py
multioutput.py		multioutput.py
naive_bayes.py		naive_bayes.py
pipeline.py		pipeline.py
qda.py		qda.py
random_projection.py		random_projection.py
setup.py		setup.py