Create v0.2.1 #392
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Create v0.2.1 #392
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* Add twine check to azure-pipelines.yml * Fix formatting and duplicate issues in README.rst
…erage (#384) * Remove images subpackage from code omitted from coverage * Add tests for Filtering class * Add tests in diagrams subpackage, linting - Rename test_features -> test_features_representations - Create parametrized dummy tests for fit_transform_plot method of transformers in representations.py - Improve structure and range of tests in test_preprocessing in a similar way - Create dummy tests of shape for BettiCurve and PersistenceLandscape - Linting and code style changes elsewhere * Add fit_transform_plot test for GraphGeodesicDistance * Add fit_transform_plot tests in gtda.homology * Fix typo in voids_on_the_plane notebook * Add fit_transform_plot tests for images subpackage * Add fit_transform_plot tests for point_clouds subpackage * Add test for SlidingWindow.plot * Linting * Exclude gtda.utils._doc and gtda.utils.intervals from coveragerc * Implement @wreise's suggestions - Rename some test functions - Implement a solution to the automatic tab opening problem, based on setting the default value of plotly.io.renderers in test files * Upload coverage report only from Azure macOS job * Exclude test folders from coverage reports
* Update P landscapes * Add distances, inner products and kernels glossary entry Signed-off-by: ammedmar <anibal@medina-mardones.com>
* Update ccache * Update variable used to indicate boost headers location Official answer from boost devs: https://discourse.cmake.org/t/findboost-difference-between-boost-include-dir-and-boost-include-dirs/855 * Add install boost step in Azure CI, which downloads boost Signed-off-by: julian <julian.burellaperez@heig-vd.ch>
…/refactor check_point_clouds and add tests (#386) * Remove boolean mask on infinite values in VietorisRipsPersistence * Refactoring of check_point_clouds - Rename distance_matrix kwarg to distance_matrices - Add checks for square input when distance_matrices is set to True - More comprehensive/friendly error messages and warnings * Increase generality of ripser function when metric == 'precomputed' Sklearn's pairwise_distances is no longer called when metric='precomputed'. This is because pairwise_distances checks for positivity and finite input in that case, but this is unnecessarily restrictive for ripser. pairwise_distances also checks for square input so this is no longer checked in the case metric='precomputed'. But the ripser function is not meant for use in isolation. It is meant to be called by a VietorisRipsPersistence instance, and input validation can be offloaded to that class. In particular, 9bab872 introduces checks for square input. * Add tests for check_point_clouds * Refresh docstrings for VietorisRipsPersistence - Mention "adjacency matrices of weighted undirected graphs" as well as distance matrices - Mention compatibility with filtration in docstrings for fit and transform
* Add citation section in README * Add citation info to FAQ page in docs Signed-off-by: Guillaume Tauzin <guillaumetauzin.ut@gmail.com> Co-authored-by: Umberto Lupo <46537483+ulupo@users.noreply.github.com>
* Fix citing giotto-tda section * Fix Important link section
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Merge from master to create release v0.2.1.