Skip to content

DOC reduce plot_gpr_prior_posterior.py warnings #11664

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Aug 22, 2018

Conversation

adrinjalali
Copy link
Member

@adrinjalali adrinjalali commented Jul 23, 2018

See #11562

Some of the warnings were due to the dotproduct kernel's bound which was from 0, and needs to be > 0.

For the negative variance issue, I've opened issue #11663, therefore this doesn't fix the issue.

@amueller
Copy link
Member

should we merge this as making it a bit better?

@adrinjalali
Copy link
Member Author

yes, it makes it a lot better actually, it just doesn't fix the issue entirely.

@jnothman jnothman changed the title [WIP] fix plot_gpr_prior_posterior.py warnings [Fixes #11562] DOC reduce plot_gpr_prior_posterior.py warnings Aug 22, 2018
@jnothman jnothman merged commit b74a76c into scikit-learn:master Aug 22, 2018
@adrinjalali adrinjalali deleted the examples/gp branch August 23, 2018 13:50
yarikoptic added a commit to yarikoptic/scikit-learn that referenced this pull request Sep 10, 2018
* tag '0.20rc1': (1109 commits)
  MNT rc version
  DOC Release dates for 0.20 (scikit-learn#11838)
  DOC Fix: require n_splits > 1 in TimeSeriesSplit (scikit-learn#11937)
  FIX xfail for MacOS LogisticRegressionCV stability (scikit-learn#11936)
  MNT: Use GEMV in enet_coordinate_descent (Pt. 1) (scikit-learn#11896)
  [MRG] TST/FIX stop optics reachability failure on 32bit (scikit-learn#11916)
  ENH add multi_class='auto' for LogisticRegression, default from 0.22; default solver will be 'lbfgs' (scikit-learn#11905)
  MAINT Fix test_logistic::test_dtype_match failure on 32 bit arch (scikit-learn#11899)
  DOC Updated link to Laurens van der Maaten's home page (scikit-learn#11907)
  DOC Remove stray backtick in /doc/modules/feature_extraction.rst (scikit-learn#11910)
  Deprecate min_samples_leaf and min_weight_fraction_leaf (scikit-learn#11870)
  MNT modify test_sparse_oneclasssvm to be parametrized (scikit-learn#11894)
  EXA set figure size to avoid overlaps (scikit-learn#11889)
  MRG/REL fixes /skips for 32bit tests (scikit-learn#11879)
  add durations=20 to makefile to show test runtimes locally (scikit-learn#11147)
  DOC loss='l2' is no longer accpeted in l1_min_c
  DOC add note about brute force nearest neighbors for string data (scikit-learn#11884)
  DOC Change sign of energy in RBM (scikit-learn#11156)
  RFC try to warn on iid less often (scikit-learn#11613)
  DOC reduce plot_gpr_prior_posterior.py warnings(scikit-learn#11664)
  ...
yarikoptic added a commit to yarikoptic/scikit-learn that referenced this pull request Sep 10, 2018
* releases: (1109 commits)
  MNT rc version
  DOC Release dates for 0.20 (scikit-learn#11838)
  DOC Fix: require n_splits > 1 in TimeSeriesSplit (scikit-learn#11937)
  FIX xfail for MacOS LogisticRegressionCV stability (scikit-learn#11936)
  MNT: Use GEMV in enet_coordinate_descent (Pt. 1) (scikit-learn#11896)
  [MRG] TST/FIX stop optics reachability failure on 32bit (scikit-learn#11916)
  ENH add multi_class='auto' for LogisticRegression, default from 0.22; default solver will be 'lbfgs' (scikit-learn#11905)
  MAINT Fix test_logistic::test_dtype_match failure on 32 bit arch (scikit-learn#11899)
  DOC Updated link to Laurens van der Maaten's home page (scikit-learn#11907)
  DOC Remove stray backtick in /doc/modules/feature_extraction.rst (scikit-learn#11910)
  Deprecate min_samples_leaf and min_weight_fraction_leaf (scikit-learn#11870)
  MNT modify test_sparse_oneclasssvm to be parametrized (scikit-learn#11894)
  EXA set figure size to avoid overlaps (scikit-learn#11889)
  MRG/REL fixes /skips for 32bit tests (scikit-learn#11879)
  add durations=20 to makefile to show test runtimes locally (scikit-learn#11147)
  DOC loss='l2' is no longer accpeted in l1_min_c
  DOC add note about brute force nearest neighbors for string data (scikit-learn#11884)
  DOC Change sign of energy in RBM (scikit-learn#11156)
  RFC try to warn on iid less often (scikit-learn#11613)
  DOC reduce plot_gpr_prior_posterior.py warnings(scikit-learn#11664)
  ...
yarikoptic added a commit to yarikoptic/scikit-learn that referenced this pull request Sep 10, 2018
* dfsg: (1109 commits)
  MNT rc version
  DOC Release dates for 0.20 (scikit-learn#11838)
  DOC Fix: require n_splits > 1 in TimeSeriesSplit (scikit-learn#11937)
  FIX xfail for MacOS LogisticRegressionCV stability (scikit-learn#11936)
  MNT: Use GEMV in enet_coordinate_descent (Pt. 1) (scikit-learn#11896)
  [MRG] TST/FIX stop optics reachability failure on 32bit (scikit-learn#11916)
  ENH add multi_class='auto' for LogisticRegression, default from 0.22; default solver will be 'lbfgs' (scikit-learn#11905)
  MAINT Fix test_logistic::test_dtype_match failure on 32 bit arch (scikit-learn#11899)
  DOC Updated link to Laurens van der Maaten's home page (scikit-learn#11907)
  DOC Remove stray backtick in /doc/modules/feature_extraction.rst (scikit-learn#11910)
  Deprecate min_samples_leaf and min_weight_fraction_leaf (scikit-learn#11870)
  MNT modify test_sparse_oneclasssvm to be parametrized (scikit-learn#11894)
  EXA set figure size to avoid overlaps (scikit-learn#11889)
  MRG/REL fixes /skips for 32bit tests (scikit-learn#11879)
  add durations=20 to makefile to show test runtimes locally (scikit-learn#11147)
  DOC loss='l2' is no longer accpeted in l1_min_c
  DOC add note about brute force nearest neighbors for string data (scikit-learn#11884)
  DOC Change sign of energy in RBM (scikit-learn#11156)
  RFC try to warn on iid less often (scikit-learn#11613)
  DOC reduce plot_gpr_prior_posterior.py warnings(scikit-learn#11664)
  ...
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants