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Aligning robustICA with current Main + #5

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merged 35 commits into from
Aug 30, 2024

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@handwerkerd handwerkerd commented Aug 13, 2024

@BahmanTahayori This PR aligns your robustICA code with the current Main branch of tedana. This will allow for continued development and eventual merging.

I'm also making some more changes to the code to get it closer to ready to merge. I'll keep a running log of what I'm doing here:

  • decomposition/ica.py I think the edited code to try DBSCAN and then try AgglomerativeClustering if it failed would actually run both every time. I edited it to only run AgglomerativeClustering if DBSCAN failed.
  • decomposition/ica.py used rica as a variable for Robust ICA. We also use rica for https://github.com/ME-ICA/rica I changed the variable name to robust_ica` to avoid confusion
  • Changed the default in config.py to fastica. Particularly since this will take longer to run, I don't want to change the default until we've confirmed this is a stable addition.
  • Removed testing robustICA from the 3-echo integration test (it was a repeat of the 5-echo integration test and slowed down testing a lot)
  • Added a new Q and answer in faq.rst and updated approach.rst and the API and command line help text.

I think I've made all the code changes I wanted to make. This should be ready if @BahmanTahayori thinks it's ok to merge into his version of the code.

tsalo and others added 30 commits April 12, 2024 17:20
* 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 <7406227+handwerkerd@users.noreply.github.com>

* 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 <7406227+handwerkerd@users.noreply.github.com>
Updates the requirements on [scikit-learn](https://github.com/scikit-learn/scikit-learn) to permit the latest version.
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…#1076)

Updates the requirements on [pandas](https://github.com/pandas-dev/pandas) to permit the latest version.
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- [Commits](pandas-dev/pandas@v2.0.0...v2.2.2)

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…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)
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* docs: update README.md

* docs: update .all-contributorsrc

---------

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…choes (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 <7406227+handwerkerd@users.noreply.github.com>

* 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 <7406227+handwerkerd@users.noreply.github.com>

* 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 <7406227+handwerkerd@users.noreply.github.com>

* Update tedana/utils.py

Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>

---------

Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>
* 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 <7406227+handwerkerd@users.noreply.github.com>

* Update decay.py

* Update decay.py

* Whoops.

* Apply suggestions from code review

Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>

* 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 <7406227+handwerkerd@users.noreply.github.com>

* Update docs/outputs.rst

* Fix docstring.

---------

Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>
* Use nearest-neighbors interpolation in plot_stat_map.

* Only use NN interp for component maps.
…E-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)

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…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)

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  dependency-type: direct:production
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…CA#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)

---
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* Use np.nan instead of np.NaN

---------

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* Filter out non-diagonal affine warning.

* Fix warning capture.

* Update tedana/reporting/static_figures.py

Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>

* Update static_figures.py

---------

Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>
…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)

---
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* Update pyproject.toml

---------

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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)

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* Update pyproject.toml to restore minimum version of scikit-learn

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…E-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)

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* Update pyproject.toml to retain minimum version of scipy

---------

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Co-authored-by: Eneko Uruñuela <e.urunuela@icloud.com>
…A#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)

---
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* install instructions

* Update docs/installation.rst

Co-authored-by: Taylor Salo <tsalo90@gmail.com>

* Update docs/installation.rst

Co-authored-by: Eneko Uruñuela <e.urunuela@icloud.com>

---------

Co-authored-by: Taylor Salo <tsalo90@gmail.com>
Co-authored-by: Eneko Uruñuela <e.urunuela@icloud.com>
…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)

---
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* 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

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* Update tedana/metrics/_utils.py

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* Update tedana/metrics/collect.py

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* Update tedana/metrics/external.py

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* Update tedana/metrics/external.py

Co-authored-by: Taylor Salo <salot@pennmedicine.upenn.edu>

* 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 <salot@pennmedicine.upenn.edu>

* Minor documentation edits

---------

Co-authored-by: Taylor Salo <tsalo006@fiu.edu>
Co-authored-by: Taylor Salo <salot@pennmedicine.upenn.edu>
Co-authored-by: Neha Reddy <nreddy@northwestern.edu>
* Update multi-echo.rst

* Update multi-echo.rst
* Add type hints to metric functions.

* Use keyword arguments.

* Update tests.

* Update dependence.py

* Update collect.py

* Fix other stuff.
* documentation and resource updates

* Fixed citation numbering and updated posters

---------

Co-authored-by: Neha Reddy <nreddy@northwestern.edu>
@handwerkerd handwerkerd marked this pull request as ready for review August 16, 2024 01:19
@BahmanTahayori
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Thank you very much @handwerkerd for all the updates. I will go through all of it in the next two days and will keep you posted.

@BahmanTahayori
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Dear @Lestropie, this is the recent update that we are working on now.

@Lestropie
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The changes as presented by the PR are not terribly useful for reviewing. The vast majority of content here is a recapitulation of the upstream main changes. Because the changes under discussion are only one commit (8e6878f) it's relatively easy to isolate and assess; but in a more complex scenario it would become impossible to disentangle.

The preferable workflow for code review would be either:

decomposition/ica.py I think the edited code to try DBSCAN and then try AgglomerativeClustering if it failed would actually run both every time. I edited it to only run AgglomerativeClustering if DBSCAN failed.

@BahmanTahayori: Not only would the former code run both every time, but the output from AgglomerativeClustering would always be used, regardless of whether DBSCAN failed. This will be relevant for any results you have generated using that code. Apologies, this is completely my mistake (ME-ICA@979d026), there should have been a break in there; not sure how I managed to muck that up.

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Thanks @Lestropie for your feedback. Yes, you are right that would always give us the agglomerative result. I had it fixed in a branch that I was working on. I will push it to the main when I finalise the changes.

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To clarify: while there are different workflows that may have been preferable from the perspective of specifically code review, because the proposed modifications are in this case relatively small I can check them just from that single commit. I would advocate for merging this PR and then shifting any outstanding review processes to ME-ICA#1013. All of the commits listed in this PR originating from ME-ICA/main should disappear in that PR as they would be common to both branches. And the proposed changeset is small enough that it can be re-reviewed from the ME-ICA#1013 PR as a whole.

@BahmanTahayori if you have your own fix for my clustering method selection, that will then conflict with @handwerkerd's fix here if you attempt to merge it in; so let me know if you need help resolving the merge conflict. Also make sure to flag on ME-ICA#1013 that there are other changes you are actively working on for that PR, especially if there are any aspects of it where assistance from development team members might be beneficial.

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Thank you @Lestropie and @BahmanTahayori for feedback. If I understand correctly, I agree that, if nothing here seems like a dramatic change, it's best to merge this so that it's easier to directly compare BahmanTahayori:main to ME-ICA:main Then we can have additional reviews and discussions within that PR.

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@BahmanTahayori I think I just finished documentation changes so ME-ICA#1013 should be ready for review once this is merged into your branch. I have some time to focus on this now so I'd like to get this moving soon. There are two options:

  1. If you have the time, you merge this into BahmanTahayori:main others review and either you make the requested changes or I make the changes and you just have to merge them into your main
  2. If you're short on time now, I could open a new PR with a branch I can push onto and I take the lead responding to additional feedback from others. The code you contributed would still be listed under your name.

I'm fine with either option, so let me know your preference.

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@Lestropie Lestropie self-requested a review August 30, 2024 00:06
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@handwerkerd Having reviewed individual commits, I think the play is to merge this and then re-review the changes as a whole over at ME-ICA#1013. I just left a few suggestions on the docs changes.

handwerkerd and others added 2 commits August 29, 2024 21:50
Co-authored-by: Robert Smith <robert.smith@florey.edu.au>
Co-authored-by: Robert Smith <robert.smith@florey.edu.au>
@BahmanTahayori BahmanTahayori merged commit efb712e into BahmanTahayori:main Aug 30, 2024
BahmanTahayori added a commit that referenced this pull request Sep 24, 2024
…sults (ME-ICA#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: #2.

Co-authored-by: Robert E. Smith <robert.smith@florey.edu.au>

* 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 <7406227+handwerkerd@users.noreply.github.com>

* Enhancing the "n_robust_runs" description suggested by D. Handwerkerd

Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>

* 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 <tahayori@gmail.com>

* 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 <robert.smith@florey.edu.au>

* Update docs/faq.rst

Co-authored-by: Robert Smith <robert.smith@florey.edu.au>

* Aligning robustICA with current Main + (#5)

* 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 <7406227+handwerkerd@users.noreply.github.com>

* 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.

---------

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* 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)

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* 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)

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* 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)

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* 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

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* 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 <7406227+handwerkerd@users.noreply.github.com>

* 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 <7406227+handwerkerd@users.noreply.github.com>

* 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 <7406227+handwerkerd@users.noreply.github.com>

* Update tedana/utils.py

Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>

---------

Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>

* 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 <7406227+handwerkerd@users.noreply.github.com>

* Update decay.py

* Update decay.py

* Whoops.

* Apply suggestions from code review

Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>

* 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 <7406227+handwerkerd@users.noreply.github.com>

* Update docs/outputs.rst

* Fix docstring.

---------

Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>

* 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)

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* 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)

---
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- dependency-name: scikit-learn
  dependency-type: direct:production
...

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* 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)

---
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- dependency-name: numpy
  dependency-type: direct:production
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* Use np.nan instead of np.NaN

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Co-authored-by: Taylor Salo <salot@pennmedicine.upenn.edu>

* 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 <7406227+handwerkerd@users.noreply.github.com>

* Update static_figures.py

---------

Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>

* 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)

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  dependency-type: direct:production
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* Update pyproject.toml

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* 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)

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  dependency-type: direct:production
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* Update pyproject.toml to restore minimum version of scikit-learn

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* 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)

---
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* Update pyproject.toml to retain minimum version of scipy

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Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com>
Co-authored-by: Eneko Uruñuela <e.urunuela@icloud.com>

* 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)

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* Cleaning up installation instructions (ME-ICA#1113)

* install instructions

* Update docs/installation.rst

Co-authored-by: Taylor Salo <tsalo90@gmail.com>

* Update docs/installation.rst

Co-authored-by: Eneko Uruñuela <e.urunuela@icloud.com>

---------

Co-authored-by: Taylor Salo <tsalo90@gmail.com>
Co-authored-by: Eneko Uruñuela <e.urunuela@icloud.com>

* 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)

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* 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 <salot@pennmedicine.upenn.edu>

* Update tedana/metrics/_utils.py

Co-authored-by: Taylor Salo <salot@pennmedicine.upenn.edu>

* Update tedana/metrics/collect.py

Co-authored-by: Taylor Salo <salot@pennmedicine.upenn.edu>

* Update tedana/metrics/external.py

Co-authored-by: Taylor Salo <salot@pennmedicine.upenn.edu>

* Update tedana/metrics/external.py

Co-authored-by: Taylor Salo <salot@pennmedicine.upenn.edu>

* 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 <salot@pennmedicine.upenn.edu>

* Minor documentation edits

---------

Co-authored-by: Taylor Salo <tsalo006@fiu.edu>
Co-authored-by: Taylor Salo <salot@pennmedicine.upenn.edu>
Co-authored-by: Neha Reddy <nreddy@northwestern.edu>

* 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 <nreddy@northwestern.edu>

* Adding already requested changes

* fixed failing tests

* updated documentation in faq.rst

* more documentation changes

---------

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Co-authored-by: Taylor Salo <tsalo006@fiu.edu>
Co-authored-by: Neha Reddy <nreddy@northwestern.edu>

* 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 <7406227+handwerkerd@users.noreply.github.com>

* updating utils.py, toml file and the docs

* minor change to utils.py

* Incorporating Eneko's comments

Co-authored-by: Eneko Uruñuela <e.urunuela@icloud.com>

* Added a warning when the clustering method is changed

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Co-authored-by: Robert E. Smith <robert.smith@florey.edu.au>
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Co-authored-by: Eneko Uruñuela <e.urunuela@icloud.com>
Co-authored-by: Taylor Salo <tsalo90@gmail.com>
Co-authored-by: Taylor Salo <tsalo006@fiu.edu>
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