mvlearn
Python package for multi-view machine learning
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최종 버전 다운로드 (.zip)- artifact_path
- config.yml
- circleci_docs.yml
- main.yml
- ISSUE_TEMPLATE.md
- PULL_REQUEST_TEMPLATE.md
- copybutton.js
- footer.html
- numpydoc_docstring.rst
- crossviews_plot_example.png
- mvlearn-logo-32x32.ico
- mvlearn-logo-transparent-grey.png
- mvlearn-logo-transparent-white.png
- quick_visualize.png
- splitAE.png
- cluster.rst
- compose.rst
- datasets.rst
- decomposition.rst
- embed.rst
- index.rst
- model_selection.rst
- plotting.rst
- semi_supervised.rst
- utils.rst
- changelog.rst
- CNAME
- conf.py
- contributing.rst
- index.rst
- install.rst
- license.rst
- make.bat
- Makefile
- overview.rst
- README.md
- requirements.txt
- mv_spherical_benchmark_validation_noinclude.py
- mv_spherical_paper_validation_noinclude.py
- plot_mv_coregularized_spectral_tutorial.py
- plot_mv_kmeans_tutorial.py
- plot_mv_kmeans_validation_complex.py
- plot_mv_kmeans_validation_simulated.py
- plot_mv_spectral_tutorial.py
- plot_mv_spectral_validation_complex.py
- plot_mv_spectral_validation_simulated.py
- plot_mv_spherical_kmeans_tutorial.py
- plot_mv_vs_singleview_spectral.py
- README.rst
- plot_multiview_construction.py
- plot_pipeline_sklearn_integration.py
- README.rst
- plot_gaussianmixtures.py
- plot_load_ucimultifeature.py
- plot_nutrimouse.py
- README.rst
- plot_ajive_tutorial.py
- plot_group_ica_tutorial.py
- plot_mv_ica_tutorial.py
- README.rst
- plot_cca_comparison.py
- plot_dcca_tutorial.py
- plot_gcca_tutorial.py
- plot_kmcca_pgso_tutorial.py
- plot_kmcca_tutorial.py
- plot_mcca_tutorial.py
- plot_mvmds_tutorial.py
- README.rst
- splitae_tutorial_noinclude.py
- plot_crossviews_plot.py
- plot_quick_visualize_tutorial.py
- README.rst
- cotraining_classification_simulatedperformance_noinclude.py
- plot_cotraining_classification.py
- plot_cotraining_regression.py
- README.rst
- README.rst
- __init__.py
- base.py
- mv_coreg_spectral.py
- mv_kmeans.py
- mv_spectral.py
- mv_spherical_kmeans.py
- __init__.py
- merge.py
- random_gaussian_projection.py
- rsm.py
- split.py
- utils.py
- wrap.py
- diet.csv
- gene.csv
- genotype.csv
- lipid.csv
- mfeat-fac.csv
- mfeat-fou.csv
- mfeat-kar.csv
- mfeat-mor.csv
- mfeat-pix.csv
- mfeat-zer.csv
- __init__.py
- factor_model.py
- gaussian_mixture.py
- nutrimouse.py
- uci_multifeature.py
- __init__.py
- ajive.py
- base.py
- groupica.py
- grouppca.py
- multiviewica.py
- __init__.py
- base.py
- cca.py
- dcca.py
- gcca.py
- kmcca.py
- mcca.py
- mvmds.py
- splitae.py
- utils.py
- __init__.py
- split.py
- validation.py
- __init__.py
- plot.py
- __init__.py
- base.py
- ctclassifier.py
- ctregression.py
- __init__.py
- _testing.py
- linalg.py
- utils.py
- __init__.py
- base.txt
- multiviewica.txt
- torch.txt
- __init__.py
- test_basecluster.py
- test_coreg.py
- test_kmeans.py
- test_spectral.py
- test_spherical_kmeans.py
- __init__.py
- test_compose_utils.py
- test_mergers.py
- test_random_gaussian_projection.py
- test_rsm.py
- test_splitters.py
- test_wrap.py
- __init__.py
- test_factor_model.py
- test_gaussian_mixture.py
- test_nutrimouse.py
- test_uci_multifeature.py
- __init__.py
- test_AJIVE.py
- test_base_decomposer.py
- test_grouppca.py
- __init__.py
- test_cca.py
- test_gcca.py
- test_mcca.py
- test_mvmds.py
- test_select_dimension.py
- __init__.py
- test_split.py
- test_validation.py
- __init__.py
- test_groupica.py
- test_mvica.py
- __init__.py
- test_plot.py
- __init__.py
- test_dcca.py
- test_splitae.py
- __init__.py
- test_basectestimator.py
- test_baseembed.py
- test_ctclassifier.py
- test_ctregressor.py
- test_utils.py
- test_utils_linalg.py
- .coveragerc
- .gitignore
- Contributing.md
- LICENSE
- MANIFEST.in
- pytest.ini
- README.md
- runtime.txt
- setup.cfg
- setup.py
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/mvlearn/mvlearn
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd mvlearn
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
// repository documentation
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