Update scikit-learn requirement from <=1.5.0,>=0.21 to <=1.5.1,>=1.5.1 #1108
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Updates the requirements on [scikit-learn](https://github.com/scikit-learn/scikit-learn) to permit the latest version. - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@0.21.0...1.5.1) --- updated-dependencies: - dependency-name: scikit-learn dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]>
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* Limit current adaptive mask method to brain mask (ME-ICA#1060) * Limit adaptive mask calculation to brain mask. Limit adaptive mask calculation to brain mask. Expand on logic of first adaptive mask method. Update tedana/utils.py Improve docstring. Update test. Add decreasing-signal-based adaptive mask. Keep removing. Co-Authored-By: Dan Handwerker <[email protected]> * Use `compute_epi_mask` in t2smap workflow. * Try fixing the tests. * Fix make_adaptive_mask. * Update test_utils.py * Update test_utils.py * Improve docstring. * Update utils.py * Update test_utils.py * Revert "Update test_utils.py" This reverts commit 259b002. * Don't take absolute value of echo means. * Log echo-wise thresholds in adaptive mask. * Add comment about non-zero voxels. * Update utils.py * Update test_utils.py * Update test_utils.py * Update test_utils.py * Log the thresholds again. * Address review. * Fix test. --------- Co-authored-by: Dan Handwerker <[email protected]> * Update nilearn requirement from <=0.10.3,>=0.7 to >=0.7,<=0.10.4 (ME-ICA#1077) * Add adaptive mask plot to report (ME-ICA#1073) * Update scikit-learn requirement (ME-ICA#1075) Updates the requirements on [scikit-learn](https://github.com/scikit-learn/scikit-learn) to permit the latest version. - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@0.21.0...1.4.2) --- updated-dependencies: - dependency-name: scikit-learn dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Update pandas requirement from <=2.2.1,>=2.0 to >=2.0,<=2.2.2 (ME-ICA#1076) Updates the requirements on [pandas](https://github.com/pandas-dev/pandas) to permit the latest version. - [Release notes](https://github.com/pandas-dev/pandas/releases) - [Commits](pandas-dev/pandas@v2.0.0...v2.2.2) --- updated-dependencies: - dependency-name: pandas dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Update bokeh requirement from <=3.4.0,>=1.0.0 to >=1.0.0,<=3.4.1 (ME-ICA#1078) Updates the requirements on [bokeh](https://github.com/bokeh/bokeh) to permit the latest version. - [Changelog](https://github.com/bokeh/bokeh/blob/branch-3.5/docs/CHANGELOG) - [Commits](bokeh/bokeh@1.0.0...3.4.1) --- updated-dependencies: - dependency-name: bokeh dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Load user-defined mask as expected by plot_adaptive_mask (ME-ICA#1079) * DOC desc-optcomDenoised -> desc-denoised (ME-ICA#1080) * docs: add mvdoc as a contributor for code, bug, and doc (ME-ICA#1082) * docs: update README.md * docs: update .all-contributorsrc --------- Co-authored-by: allcontributors[bot] <46447321+allcontributors[bot]@users.noreply.github.com> * Identify the last good echo in adaptive mask instead of sum of good echoes (ME-ICA#1061) * Limit adaptive mask calculation to brain mask. Limit adaptive mask calculation to brain mask. Expand on logic of first adaptive mask method. Update tedana/utils.py Improve docstring. Update test. Add decreasing-signal-based adaptive mask. Keep removing. Co-Authored-By: Dan Handwerker <[email protected]> * Use `compute_epi_mask` in t2smap workflow. * Try fixing the tests. * Fix make_adaptive_mask. * Update test_utils.py * Update test_utils.py * Improve docstring. * Identify the last good echo instead of sum. Improve docstring. Update test_utils.py Update test_utils.py Fix make_adaptive_mask. Try fixing the tests. Use `compute_epi_mask` in t2smap workflow. Limit adaptive mask calculation to brain mask. Limit adaptive mask calculation to brain mask. Expand on logic of first adaptive mask method. Update tedana/utils.py Improve docstring. Update test. Add decreasing-signal-based adaptive mask. Keep removing. Co-Authored-By: Dan Handwerker <[email protected]> * Fix. * Update utils.py * Update utils.py * Try fixing. * Update utils.py * Update utils.py * add checks * Just loop over voxels. * Update utils.py * Update utils.py * Update test_utils.py * Revert "Update test_utils.py" This reverts commit 259b002. * Update test_utils.py * Update test_utils.py * Remove checks. * Don't take absolute value of echo means. * Log echo-wise thresholds in adaptive mask. * Add comment about non-zero voxels. * Update utils.py * Update utils.py * Update test_utils.py * Update test_utils.py * Update test_utils.py * Log the thresholds again. * Update test_utils.py * Update test_utils.py * Update test_utils.py * Add simulated data to adaptive mask test. * Clean up the tests. * Add value that tests the base mask. * Remove print in test. * Update tedana/utils.py Co-authored-by: Dan Handwerker <[email protected]> * Update tedana/utils.py Co-authored-by: Dan Handwerker <[email protected]> --------- Co-authored-by: Dan Handwerker <[email protected]> * Output RMSE map and time series for decay model fit (ME-ICA#1044) * Draft function to calculate decay model fit. * Calculate root mean squared error instead. * Incorporate metrics. * Output RMSE results. * Output results in tedana. * Hopefully fix things. * Update decay.py * Try improving performance. * Update decay.py * Fix again. * Use tqdm. * Update decay.py * Update decay.py * Update decay.py * Update expected outputs. * Add figures. * Update outputs. * Include global signal in confounds file. * Update fiu_four_echo_outputs.txt * Rename function. * Rename function. * Update tedana.py * Update tedana/decay.py Co-authored-by: Dan Handwerker <[email protected]> * Update decay.py * Update decay.py * Whoops. * Apply suggestions from code review Co-authored-by: Dan Handwerker <[email protected]> * Fix things maybe. * Fix things. * Update decay.py * Remove any files that are built through appending. * Update outputs. * Add section on plots to docs. * Fix the description. * Update docs/outputs.rst Co-authored-by: Dan Handwerker <[email protected]> * Update docs/outputs.rst * Fix docstring. --------- Co-authored-by: Dan Handwerker <[email protected]> * minimum nilearn 0.10.3 (ME-ICA#1094) * Use nearest-neighbors interpolation in `plot_component` (ME-ICA#1098) * Use nearest-neighbors interpolation in plot_stat_map. * Only use NN interp for component maps. * Update scipy requirement from <=1.13.0,>=1.2.0 to >=1.2.0,<=1.13.1 (ME-ICA#1100) Updates the requirements on [scipy](https://github.com/scipy/scipy) to permit the latest version. - [Release notes](https://github.com/scipy/scipy/releases) - [Commits](scipy/scipy@v1.2.0...v1.13.1) --- updated-dependencies: - dependency-name: scipy dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Update scikit-learn requirement from <=1.4.2,>=0.21 to >=0.21,<=1.5.0 (ME-ICA#1101) Updates the requirements on [scikit-learn](https://github.com/scikit-learn/scikit-learn) to permit the latest version. - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@0.21.0...1.5.0) --- updated-dependencies: - dependency-name: scikit-learn dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Update numpy requirement from <=1.26.4,>=1.16 to >=1.16,<=2.0.0 (ME-ICA#1104) * Update numpy requirement from <=1.26.4,>=1.16 to >=1.16,<=2.0.0 Updates the requirements on [numpy](https://github.com/numpy/numpy) to permit the latest version. - [Release notes](https://github.com/numpy/numpy/releases) - [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst) - [Commits](numpy/numpy@v1.16.0...v2.0.0) --- updated-dependencies: - dependency-name: numpy dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Use np.nan instead of np.NaN --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Taylor Salo <[email protected]> * Filter out non-diagonal affine warning (ME-ICA#1103) * Filter out non-diagonal affine warning. * Fix warning capture. * Update tedana/reporting/static_figures.py Co-authored-by: Dan Handwerker <[email protected]> * Update static_figures.py --------- Co-authored-by: Dan Handwerker <[email protected]> * Update bokeh requirement from <=3.4.1,>=1.0.0 to <=3.5.0,>=3.5.0 (ME-ICA#1109) * Update bokeh requirement from <=3.4.1,>=1.0.0 to <=3.5.0,>=3.5.0 Updates the requirements on [bokeh](https://github.com/bokeh/bokeh) to permit the latest version. - [Changelog](https://github.com/bokeh/bokeh/blob/branch-3.6/docs/CHANGELOG) - [Commits](bokeh/bokeh@1.0.0...3.5.0) --- updated-dependencies: - dependency-name: bokeh dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Update pyproject.toml --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Taylor Salo <[email protected]> * Update scikit-learn requirement from <=1.5.0,>=0.21 to <=1.5.1,>=1.5.1 (ME-ICA#1108) * Update scikit-learn requirement from <=1.5.0,>=0.21 to <=1.5.1,>=1.5.1 Updates the requirements on [scikit-learn](https://github.com/scikit-learn/scikit-learn) to permit the latest version. - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@0.21.0...1.5.1) --- updated-dependencies: - dependency-name: scikit-learn dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Update pyproject.toml to restore minimum version of scikit-learn --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Dan Handwerker <[email protected]> * Update scipy requirement from <=1.13.1,>=1.2.0 to <=1.14.0,>=1.14.0 (ME-ICA#1106) * Update scipy requirement from <=1.13.1,>=1.2.0 to <=1.14.0,>=1.14.0 Updates the requirements on [scipy](https://github.com/scipy/scipy) to permit the latest version. - [Release notes](https://github.com/scipy/scipy/releases) - [Commits](scipy/scipy@v1.2.0...v1.14.0) --- updated-dependencies: - dependency-name: scipy dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Update pyproject.toml to retain minimum version of scipy --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Dan Handwerker <[email protected]> Co-authored-by: Eneko Uruñuela <[email protected]> * Update numpy requirement from <=2.0.0,>=1.16 to >=1.16,<=2.0.1 (ME-ICA#1112) Updates the requirements on [numpy](https://github.com/numpy/numpy) to permit the latest version. - [Release notes](https://github.com/numpy/numpy/releases) - [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst) - [Commits](numpy/numpy@v1.16.0...v2.0.1) --- updated-dependencies: - dependency-name: numpy dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Cleaning up installation instructions (ME-ICA#1113) * install instructions * Update docs/installation.rst Co-authored-by: Taylor Salo <[email protected]> * Update docs/installation.rst Co-authored-by: Eneko Uruñuela <[email protected]> --------- Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: Eneko Uruñuela <[email protected]> * Update bokeh requirement from <=3.5.0,>=1.0.0 to >=1.0.0,<=3.5.1 (ME-ICA#1116) Updates the requirements on [bokeh](https://github.com/bokeh/bokeh) to permit the latest version. - [Changelog](https://github.com/bokeh/bokeh/blob/3.5.1/docs/CHANGELOG) - [Commits](bokeh/bokeh@1.0.0...3.5.1) --- updated-dependencies: - dependency-name: bokeh dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Update list of multi-echo datasets (ME-ICA#1115) * Generate metrics from external regressors using F stats (ME-ICA#1064) * Get required metrics from decision tree. * Continue changes. * More updates. * Store necessary_metrics as a list. * Update selection_nodes.py * Update selection_utils.py * Update across the package. * Keep updating. * Update tedana.py * Add extra metrics to list. * Update ica_reclassify.py * Draft metric-based regressor correlations. * Fix typo. * Work on trees. * Expand regular expressions in trees. * Fix up the expansion. * Really fix it though. * Fix style issue. * Added external regress integration test * Got intregration test with external regressors working * Added F tests and options * added corr_no_detrend.json * updated names and reporting * Run black. * Address style issues. * Try fixing test bugs. * Update test_component_selector.py * Update component_selector.py * Use component table directly in selectcomps2use. * Fix. * Include generated metrics in necessary metrics. * Update component_selector.py * responding to feedback from tsalo * Update component_selector.py * Update test_component_selector.py * fixed some testing failures * fixed test_check_null_succeeds * fixed ica_reclassify bug and selector_properties test * ComponentSelector initialized before loading data * fixed docstrings * updated building decision tree docs * using external regressors and most tests passing * removed corr added tasks * fit_model moved to stats * removed and cleaned up external_regressors_config option * Added task regressors and some tests. Now alll in decision tree * cleaning up decision tree json files * removed mot12_csf.json changed task to signal * fixed tests with task_keep signal * Update tedana/metrics/external.py Co-authored-by: Taylor Salo <[email protected]> * Update tedana/metrics/_utils.py Co-authored-by: Taylor Salo <[email protected]> * Update tedana/metrics/collect.py Co-authored-by: Taylor Salo <[email protected]> * Update tedana/metrics/external.py Co-authored-by: Taylor Salo <[email protected]> * Update tedana/metrics/external.py Co-authored-by: Taylor Salo <[email protected]> * Responding to review comments * reworded docstring * Added type hints to external.py * fixed external.py type hints * type hints to _utils collect and component_selector * type hints and doc improvements in selection_utils * no expand_node recursion * removed expand_nodes expand_node expand_dict * docstring lines break on punctuation * updating external tests and docs * moved test data downloading to tests.utils.py and started test for fit_regressors * fixed bug where task regressors retained in partial models * matched testing external regressors to included mixing and fixed bugs * Made single function for detrending regressors * added tests for external fit_regressors and fix_mixing_to_regressors * Full tests in test_external_metrics.py * adding tests * fixed extern regress validation warnings and added tests * sorting set values for test outputs * added to test_metrics * Added docs to building_decision_trees.rst * Added motion task decision tree flow chart * made recommended change to external_regressor_config * Finished documentation and renamed demo decision trees * added link to example external regressors tsv file * Apply suggestions from code review Fixed nuissance typos Co-authored-by: Taylor Salo <[email protected]> * Minor documentation edits --------- Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: Neha Reddy <[email protected]> * Link to the open-multi-echo-data website (ME-ICA#1117) * Update multi-echo.rst * Update multi-echo.rst * Refactor `metrics.dependence` module (ME-ICA#1088) * Add type hints to metric functions. * Use keyword arguments. * Update tests. * Update dependence.py * Update collect.py * Fix other stuff. * documentation and resource updates (ME-ICA#1114) * documentation and resource updates * Fixed citation numbering and updated posters --------- Co-authored-by: Neha Reddy <[email protected]> * Adding already requested changes * fixed failing tests * updated documentation in faq.rst * more documentation changes --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Matteo Visconti di Oleggio Castello <[email protected]> Co-authored-by: allcontributors[bot] <46447321+allcontributors[bot]@users.noreply.github.com> Co-authored-by: Eneko Uruñuela <[email protected]> Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: Neha Reddy <[email protected]>
handwerkerd
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Sep 23, 2024
…sults (#1013) * Add robustica method * Incorporation of major comments regarding robustica addition Manual modification of commit f2cdb4e to remove unwanted file additions. * Add robustica 0.1.3 to dependency list Cherry-pick of 41354cb. * Multiple fixes to RobustICA addition from code review From: BahmanTahayori#2. Co-authored-by: Robert E. Smith <[email protected]> * Specify magic number fixed seed of 42 as a constant Cherry-pick of da1b128 (with modification). * Updated * Robustica Updates * Incorporating the third round of Robert E. Smith's comments * Enhance the "ica_method" description suggested by D. Handwerker Co-authored-by: Dan Handwerker <[email protected]> * Enhancing the "n_robust_runs" description suggested by D. Handwerkerd Co-authored-by: Dan Handwerker <[email protected]> * RobustICA: Restructure code loop over robust methods (#4) * RobustICA: Restructure code loop over robust methods * Addressing the issue with try/except --------- Co-authored-by: Bahman <[email protected]> * Applied suggested changes In this commit, some of the comments from Daniel Handwerker and Robert Smith were incorporated. * Incorporating more comments * Fixing the problem of argument parser for n_robust_runs. * Removing unnecessary tests from the test_integration. There are 3 tests for echo as before, but the ica_method is robustica for five and three echos and fatsica for the four echo test. * Adding already requested changes * fixed failing tests * updated documentation in faq.rst * more documentation changes * Update docs/faq.rst Co-authored-by: Robert Smith <[email protected]> * Update docs/faq.rst Co-authored-by: Robert Smith <[email protected]> * Aligning robustICA with current Main + (#5) * Limit current adaptive mask method to brain mask (#1060) * Limit adaptive mask calculation to brain mask. Limit adaptive mask calculation to brain mask. Expand on logic of first adaptive mask method. Update tedana/utils.py Improve docstring. Update test. Add decreasing-signal-based adaptive mask. Keep removing. Co-Authored-By: Dan Handwerker <[email protected]> * Use `compute_epi_mask` in t2smap workflow. * Try fixing the tests. * Fix make_adaptive_mask. * Update test_utils.py * Update test_utils.py * Improve docstring. * Update utils.py * Update test_utils.py * Revert "Update test_utils.py" This reverts commit 259b002. * Don't take absolute value of echo means. * Log echo-wise thresholds in adaptive mask. * Add comment about non-zero voxels. * Update utils.py * Update test_utils.py * Update test_utils.py * Update test_utils.py * Log the thresholds again. * Address review. * Fix test. --------- Co-authored-by: Dan Handwerker <[email protected]> * Update nilearn requirement from <=0.10.3,>=0.7 to >=0.7,<=0.10.4 (#1077) * Add adaptive mask plot to report (#1073) * Update scikit-learn requirement (#1075) Updates the requirements on [scikit-learn](https://github.com/scikit-learn/scikit-learn) to permit the latest version. - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@0.21.0...1.4.2) --- updated-dependencies: - dependency-name: scikit-learn dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Update pandas requirement from <=2.2.1,>=2.0 to >=2.0,<=2.2.2 (#1076) Updates the requirements on [pandas](https://github.com/pandas-dev/pandas) to permit the latest version. - [Release notes](https://github.com/pandas-dev/pandas/releases) - [Commits](pandas-dev/pandas@v2.0.0...v2.2.2) --- updated-dependencies: - dependency-name: pandas dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Update bokeh requirement from <=3.4.0,>=1.0.0 to >=1.0.0,<=3.4.1 (#1078) Updates the requirements on [bokeh](https://github.com/bokeh/bokeh) to permit the latest version. - [Changelog](https://github.com/bokeh/bokeh/blob/branch-3.5/docs/CHANGELOG) - [Commits](bokeh/bokeh@1.0.0...3.4.1) --- updated-dependencies: - dependency-name: bokeh dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Load user-defined mask as expected by plot_adaptive_mask (#1079) * DOC desc-optcomDenoised -> desc-denoised (#1080) * docs: add mvdoc as a contributor for code, bug, and doc (#1082) * docs: update README.md * docs: update .all-contributorsrc --------- Co-authored-by: allcontributors[bot] <46447321+allcontributors[bot]@users.noreply.github.com> * Identify the last good echo in adaptive mask instead of sum of good echoes (#1061) * Limit adaptive mask calculation to brain mask. Limit adaptive mask calculation to brain mask. Expand on logic of first adaptive mask method. Update tedana/utils.py Improve docstring. Update test. Add decreasing-signal-based adaptive mask. Keep removing. Co-Authored-By: Dan Handwerker <[email protected]> * Use `compute_epi_mask` in t2smap workflow. * Try fixing the tests. * Fix make_adaptive_mask. * Update test_utils.py * Update test_utils.py * Improve docstring. * Identify the last good echo instead of sum. Improve docstring. Update test_utils.py Update test_utils.py Fix make_adaptive_mask. Try fixing the tests. Use `compute_epi_mask` in t2smap workflow. Limit adaptive mask calculation to brain mask. Limit adaptive mask calculation to brain mask. Expand on logic of first adaptive mask method. Update tedana/utils.py Improve docstring. Update test. Add decreasing-signal-based adaptive mask. Keep removing. Co-Authored-By: Dan Handwerker <[email protected]> * Fix. * Update utils.py * Update utils.py * Try fixing. * Update utils.py * Update utils.py * add checks * Just loop over voxels. * Update utils.py * Update utils.py * Update test_utils.py * Revert "Update test_utils.py" This reverts commit 259b002. * Update test_utils.py * Update test_utils.py * Remove checks. * Don't take absolute value of echo means. * Log echo-wise thresholds in adaptive mask. * Add comment about non-zero voxels. * Update utils.py * Update utils.py * Update test_utils.py * Update test_utils.py * Update test_utils.py * Log the thresholds again. * Update test_utils.py * Update test_utils.py * Update test_utils.py * Add simulated data to adaptive mask test. * Clean up the tests. * Add value that tests the base mask. * Remove print in test. * Update tedana/utils.py Co-authored-by: Dan Handwerker <[email protected]> * Update tedana/utils.py Co-authored-by: Dan Handwerker <[email protected]> --------- Co-authored-by: Dan Handwerker <[email protected]> * Output RMSE map and time series for decay model fit (#1044) * Draft function to calculate decay model fit. * Calculate root mean squared error instead. * Incorporate metrics. * Output RMSE results. * Output results in tedana. * Hopefully fix things. * Update decay.py * Try improving performance. * Update decay.py * Fix again. * Use tqdm. * Update decay.py * Update decay.py * Update decay.py * Update expected outputs. * Add figures. * Update outputs. * Include global signal in confounds file. * Update fiu_four_echo_outputs.txt * Rename function. * Rename function. * Update tedana.py * Update tedana/decay.py Co-authored-by: Dan Handwerker <[email protected]> * Update decay.py * Update decay.py * Whoops. * Apply suggestions from code review Co-authored-by: Dan Handwerker <[email protected]> * Fix things maybe. * Fix things. * Update decay.py * Remove any files that are built through appending. * Update outputs. * Add section on plots to docs. * Fix the description. * Update docs/outputs.rst Co-authored-by: Dan Handwerker <[email protected]> * Update docs/outputs.rst * Fix docstring. --------- Co-authored-by: Dan Handwerker <[email protected]> * minimum nilearn 0.10.3 (#1094) * Use nearest-neighbors interpolation in `plot_component` (#1098) * Use nearest-neighbors interpolation in plot_stat_map. * Only use NN interp for component maps. * Update scipy requirement from <=1.13.0,>=1.2.0 to >=1.2.0,<=1.13.1 (#1100) Updates the requirements on [scipy](https://github.com/scipy/scipy) to permit the latest version. - [Release notes](https://github.com/scipy/scipy/releases) - [Commits](scipy/scipy@v1.2.0...v1.13.1) --- updated-dependencies: - dependency-name: scipy dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Update scikit-learn requirement from <=1.4.2,>=0.21 to >=0.21,<=1.5.0 (#1101) Updates the requirements on [scikit-learn](https://github.com/scikit-learn/scikit-learn) to permit the latest version. - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@0.21.0...1.5.0) --- updated-dependencies: - dependency-name: scikit-learn dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Update numpy requirement from <=1.26.4,>=1.16 to >=1.16,<=2.0.0 (#1104) * Update numpy requirement from <=1.26.4,>=1.16 to >=1.16,<=2.0.0 Updates the requirements on [numpy](https://github.com/numpy/numpy) to permit the latest version. - [Release notes](https://github.com/numpy/numpy/releases) - [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst) - [Commits](numpy/numpy@v1.16.0...v2.0.0) --- updated-dependencies: - dependency-name: numpy dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Use np.nan instead of np.NaN --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Taylor Salo <[email protected]> * Filter out non-diagonal affine warning (#1103) * Filter out non-diagonal affine warning. * Fix warning capture. * Update tedana/reporting/static_figures.py Co-authored-by: Dan Handwerker <[email protected]> * Update static_figures.py --------- Co-authored-by: Dan Handwerker <[email protected]> * Update bokeh requirement from <=3.4.1,>=1.0.0 to <=3.5.0,>=3.5.0 (#1109) * Update bokeh requirement from <=3.4.1,>=1.0.0 to <=3.5.0,>=3.5.0 Updates the requirements on [bokeh](https://github.com/bokeh/bokeh) to permit the latest version. - [Changelog](https://github.com/bokeh/bokeh/blob/branch-3.6/docs/CHANGELOG) - [Commits](bokeh/bokeh@1.0.0...3.5.0) --- updated-dependencies: - dependency-name: bokeh dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Update pyproject.toml --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Taylor Salo <[email protected]> * Update scikit-learn requirement from <=1.5.0,>=0.21 to <=1.5.1,>=1.5.1 (#1108) * Update scikit-learn requirement from <=1.5.0,>=0.21 to <=1.5.1,>=1.5.1 Updates the requirements on [scikit-learn](https://github.com/scikit-learn/scikit-learn) to permit the latest version. - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@0.21.0...1.5.1) --- updated-dependencies: - dependency-name: scikit-learn dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Update pyproject.toml to restore minimum version of scikit-learn --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Dan Handwerker <[email protected]> * Update scipy requirement from <=1.13.1,>=1.2.0 to <=1.14.0,>=1.14.0 (#1106) * Update scipy requirement from <=1.13.1,>=1.2.0 to <=1.14.0,>=1.14.0 Updates the requirements on [scipy](https://github.com/scipy/scipy) to permit the latest version. - [Release notes](https://github.com/scipy/scipy/releases) - [Commits](scipy/scipy@v1.2.0...v1.14.0) --- updated-dependencies: - dependency-name: scipy dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Update pyproject.toml to retain minimum version of scipy --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Dan Handwerker <[email protected]> Co-authored-by: Eneko Uruñuela <[email protected]> * Update numpy requirement from <=2.0.0,>=1.16 to >=1.16,<=2.0.1 (#1112) Updates the requirements on [numpy](https://github.com/numpy/numpy) to permit the latest version. - [Release notes](https://github.com/numpy/numpy/releases) - [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst) - [Commits](numpy/numpy@v1.16.0...v2.0.1) --- updated-dependencies: - dependency-name: numpy dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Cleaning up installation instructions (#1113) * install instructions * Update docs/installation.rst Co-authored-by: Taylor Salo <[email protected]> * Update docs/installation.rst Co-authored-by: Eneko Uruñuela <[email protected]> --------- Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: Eneko Uruñuela <[email protected]> * Update bokeh requirement from <=3.5.0,>=1.0.0 to >=1.0.0,<=3.5.1 (#1116) Updates the requirements on [bokeh](https://github.com/bokeh/bokeh) to permit the latest version. - [Changelog](https://github.com/bokeh/bokeh/blob/3.5.1/docs/CHANGELOG) - [Commits](bokeh/bokeh@1.0.0...3.5.1) --- updated-dependencies: - dependency-name: bokeh dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Update list of multi-echo datasets (#1115) * Generate metrics from external regressors using F stats (#1064) * Get required metrics from decision tree. * Continue changes. * More updates. * Store necessary_metrics as a list. * Update selection_nodes.py * Update selection_utils.py * Update across the package. * Keep updating. * Update tedana.py * Add extra metrics to list. * Update ica_reclassify.py * Draft metric-based regressor correlations. * Fix typo. * Work on trees. * Expand regular expressions in trees. * Fix up the expansion. * Really fix it though. * Fix style issue. * Added external regress integration test * Got intregration test with external regressors working * Added F tests and options * added corr_no_detrend.json * updated names and reporting * Run black. * Address style issues. * Try fixing test bugs. * Update test_component_selector.py * Update component_selector.py * Use component table directly in selectcomps2use. * Fix. * Include generated metrics in necessary metrics. * Update component_selector.py * responding to feedback from tsalo * Update component_selector.py * Update test_component_selector.py * fixed some testing failures * fixed test_check_null_succeeds * fixed ica_reclassify bug and selector_properties test * ComponentSelector initialized before loading data * fixed docstrings * updated building decision tree docs * using external regressors and most tests passing * removed corr added tasks * fit_model moved to stats * removed and cleaned up external_regressors_config option * Added task regressors and some tests. Now alll in decision tree * cleaning up decision tree json files * removed mot12_csf.json changed task to signal * fixed tests with task_keep signal * Update tedana/metrics/external.py Co-authored-by: Taylor Salo <[email protected]> * Update tedana/metrics/_utils.py Co-authored-by: Taylor Salo <[email protected]> * Update tedana/metrics/collect.py Co-authored-by: Taylor Salo <[email protected]> * Update tedana/metrics/external.py Co-authored-by: Taylor Salo <[email protected]> * Update tedana/metrics/external.py Co-authored-by: Taylor Salo <[email protected]> * Responding to review comments * reworded docstring * Added type hints to external.py * fixed external.py type hints * type hints to _utils collect and component_selector * type hints and doc improvements in selection_utils * no expand_node recursion * removed expand_nodes expand_node expand_dict * docstring lines break on punctuation * updating external tests and docs * moved test data downloading to tests.utils.py and started test for fit_regressors * fixed bug where task regressors retained in partial models * matched testing external regressors to included mixing and fixed bugs * Made single function for detrending regressors * added tests for external fit_regressors and fix_mixing_to_regressors * Full tests in test_external_metrics.py * adding tests * fixed extern regress validation warnings and added tests * sorting set values for test outputs * added to test_metrics * Added docs to building_decision_trees.rst * Added motion task decision tree flow chart * made recommended change to external_regressor_config * Finished documentation and renamed demo decision trees * added link to example external regressors tsv file * Apply suggestions from code review Fixed nuissance typos Co-authored-by: Taylor Salo <[email protected]> * Minor documentation edits --------- Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: Neha Reddy <[email protected]> * Link to the open-multi-echo-data website (#1117) * Update multi-echo.rst * Update multi-echo.rst * Refactor `metrics.dependence` module (#1088) * Add type hints to metric functions. * Use keyword arguments. * Update tests. * Update dependence.py * Update collect.py * Fix other stuff. * documentation and resource updates (#1114) * documentation and resource updates * Fixed citation numbering and updated posters --------- Co-authored-by: Neha Reddy <[email protected]> * Adding already requested changes * fixed failing tests * updated documentation in faq.rst * more documentation changes --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Matteo Visconti di Oleggio Castello <[email protected]> Co-authored-by: allcontributors[bot] <46447321+allcontributors[bot]@users.noreply.github.com> Co-authored-by: Eneko Uruñuela <[email protected]> Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: Neha Reddy <[email protected]> * align with main * fixed ica.py docstring error * added scikit-learn-extra to pyproject and changed ref name * increment circleci version keys * Removing the scikit-learn-extra dependency * Updating pyproject.toml file * Minor changes to make the help more readable * Minor changes * upgrading to robustica 0.1.4 * Update docs Co-authored-by: Dan Handwerker <[email protected]> * updating utils.py, toml file and the docs * minor change to utils.py * Incorporating Eneko's comments Co-authored-by: Eneko Uruñuela <[email protected]> * Added a warning when the clustering method is changed --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: Robert E. Smith <[email protected]> Co-authored-by: Dan Handwerker <[email protected]> Co-authored-by: handwerkerd <[email protected]> Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Matteo Visconti di Oleggio Castello <[email protected]> Co-authored-by: allcontributors[bot] <46447321+allcontributors[bot]@users.noreply.github.com> Co-authored-by: Eneko Uruñuela <[email protected]> Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: Taylor Salo <[email protected]> Co-authored-by: Neha Reddy <[email protected]>
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Updates the requirements on scikit-learn to permit the latest version.
Release notes
Sourced from scikit-learn's releases.
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70fdc84Bump version [cd build]b0ec847DOC Add missing PR number in changelog entry (#29384)8179b8fDOC Set 1.5.1 release month (#29377)851c0d6FIX:accuracyandzero_losssupport for multilabel with Array API (#29336)99d8a32FIXzero_one_lossbreaks with multilabel and Array API (#29269)059070bENH Add Array API compatibility tocosine_similarity(#29014)ada571fFix a regression in GridSearchCV for parameter grids that have arrays of diff...fb26476🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...5a74cc0Fix performance regression in ColumnTransformer (#29330)c3d69b2MAINT Pin the ruff version on CI linters (#29359)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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