文件列表:

example.py (1769, 2017-06-15)
scikit (0, 2017-06-15)
scikit\.codecov.yml (13, 2017-06-15)
scikit\.coveragerc (126, 2017-06-15)
scikit\.landscape.yml (86, 2017-06-15)
scikit\.mailmap (7264, 2017-06-15)
scikit\.travis.yml (2760, 2017-06-15)
scikit\AUTHORS.rst (2703, 2017-06-15)
scikit\CONTRIBUTING.md (9757, 2017-06-15)
scikit\COPYING (1559, 2017-06-15)
scikit\ISSUE_TEMPLATE.md (1768, 2017-06-15)
scikit\MANIFEST.in (243, 2017-06-15)
scikit\Makefile (1512, 2017-06-15)
scikit\PULL_REQUEST_TEMPLATE.md (943, 2017-06-15)
scikit\appveyor.yml (3920, 2017-06-15)
scikit\benchmarks (0, 2017-06-15)
scikit\benchmarks\bench_20newsgroups.py (3555, 2017-06-15)
scikit\benchmarks\bench_covertype.py (7378, 2017-06-15)
scikit\benchmarks\bench_glm.py (1515, 2017-06-15)
scikit\benchmarks\bench_glmnet.py (3890, 2017-06-15)
scikit\benchmarks\bench_isolation_forest.py (4784, 2017-06-15)
scikit\benchmarks\bench_isotonic.py (3458, 2017-06-15)
scikit\benchmarks\bench_lasso.py (3364, 2017-06-15)
scikit\benchmarks\bench_lof.py (3548, 2017-06-15)
scikit\benchmarks\bench_mnist.py (6977, 2017-06-15)
scikit\benchmarks\bench_multilabel_metrics.py (7138, 2017-06-15)
scikit\benchmarks\bench_plot_approximate_neighbors.py (6011, 2017-06-15)
scikit\benchmarks\bench_plot_fastkmeans.py (4667, 2017-06-15)
scikit\benchmarks\bench_plot_incremental_pca.py (6430, 2017-06-15)
scikit\benchmarks\bench_plot_lasso_path.py (4005, 2017-06-15)
scikit\benchmarks\bench_plot_neighbors.py (6469, 2017-06-15)
scikit\benchmarks\bench_plot_nmf.py (15630, 2017-06-15)
scikit\benchmarks\bench_plot_omp_lars.py (4514, 2017-06-15)
scikit\benchmarks\bench_plot_parallel_pairwise.py (1270, 2017-06-15)
scikit\benchmarks\bench_plot_randomized_svd.py (17557, 2017-06-15)
... ...

# GPGPU Final ## Install Steps 1. Install Conda 2. Install conda-accelerate 3. Create a new virtual environment 4. remove scikit-learn in the virtual env `conda uninstall scikit-learn` 5. install our own editable version `pip install -e scikit/`

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