Commits · 5792b54bc6cd90b698d29116da7948db53adfe8d · Ian Johnson / scikit-learn · GitLab

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Jan 06, 2010
- Set correct name for datasets packages (data->datasets) in the setup, and... · 5792b54b
  Fabian Pedregosa authored 15 years ago
  5792b54b
Jan 05, 2010
- Do not detect subpackages using find_packages from setuptools, but uses... · 44a1c48e
  Fabian Pedregosa authored 15 years ago
  44a1c48e
- Prototype of attributes and class selection, based on introspection · e7a2dfa7
  Fabian Pedregosa authored 15 years ago
  e7a2dfa7
- Make svm/examples a package so that its files are copied when installing · 931406f8
  Fabian Pedregosa authored 15 years ago
  931406f8
- Ignore junk files in the whole learn tree, make machine a proper subpackage by... · c48bfe5f
  Fabian Pedregosa authored 15 years ago
  c48bfe5f
- Add test and test_suite function to svm module · 16787238
  Fabian Pedregosa authored 15 years ago
  16787238
- Adapt tests + module import in pyem such as they work with setuptools test command · 13668360
  Fabian Pedregosa authored 15 years ago
  13668360
- Enable scikits.learn.utils test through setuptools --test-module mechanism. · 70f6234b
  Fabian Pedregosa authored 15 years ago
  70f6234b
- Modify setup to that svm and pyem are built from their setup · 88dd6f33
  Fabian Pedregosa authored 15 years ago
  88dd6f33
- Move former scipy.sandbox modules into a separate package machine · b1e868c4
  Fabian Pedregosa authored 15 years ago
  b1e868c4
- resyncing with scipy version · 3aa08282
  Fabian Pedregosa authored 15 years ago
  3aa08282
- undo fix · cb2e537f
  Fabian Pedregosa authored 15 years ago
  cb2e537f
- [PATCH 049/166] test · 7f7d1e5a
  Fabian Pedregosa authored 15 years ago
  7f7d1e5a
- Fix a bug in ellipses of confidence computation for mixture + adapt to new... · fd9ab5d3
  Fabian Pedregosa authored 15 years ago
  fd9ab5d3
- Refactoring kernels to work better in sparse and dense cases. · a2514e3f
  Fabian Pedregosa authored 15 years ago
  a2514e3f
- Benchmark with large test dataset. · 57638ed4
  Fabian Pedregosa authored 15 years ago
  57638ed4
- Move zipping inside the datasets. · a49aa3a7
  Fabian Pedregosa authored 15 years ago
  a49aa3a7
- Model compaction. · d2b39db5
  Fabian Pedregosa authored 15 years ago
  d2b39db5
- Classification in Python in preparation for some optimization. · 44fb893b
  Fabian Pedregosa authored 15 years ago
  44fb893b
- Extend tests to check nu-SVR. · 9bef429b
  Fabian Pedregosa authored 15 years ago
  9bef429b
- Improve one-class tests. · b1300070
  Fabian Pedregosa authored 15 years ago
  b1300070
- Enable tests that exposed NumPy defect. · 5dc3dc61
  Fabian Pedregosa authored 15 years ago
  5dc3dc61
- Extend classification tests. · 01ce0e3b
  Fabian Pedregosa authored 15 years ago
  01ce0e3b
- Use release build linker options. · 6f3c2b6d
  Fabian Pedregosa authored 15 years ago
  6f3c2b6d
- Use .ctypes.data_as instead of ctypes.cast. · 21ffc144
  Fabian Pedregosa authored 15 years ago
  21ffc144
- Don't train probability models by default. · 660b7787
  Fabian Pedregosa authored 15 years ago
  660b7787
- Test for classification with precomputed kernel. · 7c5cd773
  Fabian Pedregosa authored 15 years ago
  7c5cd773
- Make sure custom kernels are only used with precomputed datasets. · 1b475cc6
  Fabian Pedregosa authored 15 years ago
  1b475cc6
- Fix libsvm prediction with precomputed kernels. · 95ade90c
  Fabian Pedregosa authored 15 years ago
  95ade90c
- Collapse predictor classes to yield a nicer API. · d791ff4d
  Fabian Pedregosa authored 15 years ago
  d791ff4d
- More tests. · 71d9f90b
  Fabian Pedregosa authored 15 years ago
  71d9f90b
- Code cleanup. Disabled tests that are failing due to NumPy defect. · 9179e3b5
  Fabian Pedregosa authored 15 years ago
  9179e3b5
- Predict without calling libsvm. · 55bb7423
  Fabian Pedregosa authored 15 years ago
  55bb7423
- Prediction refactoring in progress. · 414eb0f6
  Fabian Pedregosa authored 15 years ago
  414eb0f6
- minor · ef76a6f8
  Fabian Pedregosa authored 15 years ago
  ef76a6f8
- Factored out prediction logic so that we can support precomputed and custom kernels. · b871fa44
  Fabian Pedregosa authored 15 years ago
  b871fa44
- More cleanups to conform to PEP 8. · 4f1c12f8
  Fabian Pedregosa authored 15 years ago
  4f1c12f8
- Precomputed model training. · 6d2ebc9e
  Fabian Pedregosa authored 15 years ago
  6d2ebc9e
- Dataset for dealing with precomputed kernels. · b505041b
  Fabian Pedregosa authored 15 years ago
  b505041b
- Reformat code to conform to PEP 8. · 4b061422
  Fabian Pedregosa authored 15 years ago
  4b061422