File python-nilearn.changes of Package python-nilearn

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File python-nilearn.changes of Package python-nilearn (Revision 27527a9367e91136790c9c51e3dbeab5)

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Fri Apr  9 11:54:35 UTC 2021 - Markéta Machová <mmachova@suse.com>

- Update to 0.7.1
  * New atlas fetcher nilearn.datasets.fetch_atlas_difumo to download 
    Dictionaries of Functional Modes, or “DiFuMo”, that can serve as 
    atlases to extract functional signals with different dimensionalities.
  * nilearn.decoding.Decoder and nilearn.decoding.DecoderRegressor is now 
    implemented with random predictions to estimate a chance level.
  * Some functions are now implemented with new display mode Mosaic. That 
    implies plotting 3D maps in multiple columns and rows in a single axes.
- Drop nilearn-fix-aarch64.patch

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Fri Jan 29 18:40:13 UTC 2021 - Ben Greiner <code@bnavigator.de>

- Skip python36 build because Tumbleweed updates to SciPy 1.6.0
  which dropped support for Python 3.6 (NEP 29)

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Fri Nov 20 08:18:25 UTC 2020 - Guillaume GARDET <guillaume.gardet@opensuse.org>

- Add runtime deps: python-requests

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Mon Nov 16 08:30:47 UTC 2020 - Guillaume GARDET <guillaume.gardet@opensuse.org>

- Update to 0.7.0
- Add patch to fix aarch64 test:
  * nilearn-fix-aarch64.patch
- Drop upstreamed patches:
  * fix-test_save_cmap.patch
  * update-numpy-warning.patch
- Disable 'test_clean_confounds' and 'test_reorder_img_mirror ' 
  until we have a fix. See: 
    https://github.com/nilearn/nilearn/issues/2608
    https://github.com/nilearn/nilearn/issues/2610

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Wed Oct 14 11:42:18 UTC 2020 - Guillaume GARDET <guillaume.gardet@opensuse.org>

- Backport patches to fix some tests:
  * update-numpy-warning.patch - https://github.com/nilearn/nilearn/pull/2530
  * fix-test_save_cmap.patch   - https://github.com/nilearn/nilearn/pull/2543

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Wed Apr 29 12:53:13 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>

- Use xdist to speedup the tests to take less than 30 mins

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Thu Jan 30 15:59:31 UTC 2020 - Todd R <toddrme2178@gmail.com>

- Update to version 0.6.1
  + ENHANCEMENTS
    * html pages use the user-provided plot title, if any, as their title
  + Fixes
    * Fetchers for developmental_fmri and localizer datasets resolve URLs correctly.

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Mon Jan  6 15:55:04 UTC 2020 - Todd R <toddrme2178@gmail.com>

- Update to version 0.6.0
  + HIGHLIGHTS
    * Python2 and 3.4 are no longer supported. We recommend upgrading to Python 3.6 minimum.
    * Support for Python3.5 wil be removed in the 0.7.x release.
      Users with a Python3.5 environment will be warned at their first Nilearn import.
    * joblib is now a dependency
    * Minimum supported versions of packages have been bumped up.
      > Matplotlib -- v2.0
      > Scikit-learn -- v0.19
      > Scipy -- v0.19
  + NEW
    * A new method for :class:`nilearn.input_data.NiftiMasker` instances
      for generating reports viewable in a web browser, Jupyter Notebook, or VSCode.
    * A new function :func:`nilearn.image.get_data` to replace the deprecated
      nibabel method `Nifti1Image.get_data`. Now use `nilearn.image.get_data(img)`
      rather than `img.get_data()`. This is because Nibabel is removing the
      `get_data` method. You may also consider using the Nibabel
      `Nifti1Image.get_fdata`, which returns the data cast to floating-point.
      See https://github.com/nipy/nibabel/wiki/BIAP8 .
      As a benefit, the `get_data` function works on niimg-like objects such as
      filenames (see http://nilearn.github.io/manipulating_images/input_output.html ).
    * Parcellation method ReNA: Fast agglomerative clustering based on recursive
      nearest neighbor grouping.
      Yields very fast & accurate models, without creation of giant
      clusters.
    * Plot connectome strength
      Use :func:`nilearn.plotting.plot_connectome_strength` to plot the strength of a
      connectome on a glass brain.  Strength is absolute sum of the edges at a node.
    * Optimization to image resampling
    * New brain development fMRI dataset fetcher
      :func:`nilearn.datasets.fetch_development_fmri` can be used to download
      movie-watching data in children and adults. A light-weight dataset
      implemented for teaching and usage in the examples. All the connectivity examples
      are changed from ADHD to brain development fmri dataset.
  + ENHANCEMENTS
    * :func:`nilearn.plotting.view_img_on_surf`, :func:`nilearn.plotting.view_surf`
      and :func:`nilearn.plotting.view_connectome` can display a title, and allow
      disabling the colorbar, and setting its height and the fontsize of its ticklabels.
    * Rework of the standardize-options of :func:`nilearn.signal.clean` and the various Maskers
      in `nilearn.input_data`. You can now set `standardize` to `zscore` or `psc`. `psc` stands
      for `Percent Signal Change`, which can be a meaningful metric for BOLD.
    * Class :class:`nilearn.input_data.NiftiLabelsMasker` now accepts an optional
      `strategy` parameter which allows it to change the function used to reduce
      values within each labelled ROI. Available functions include mean, median,
      minimum, maximum, standard_deviation and variance.
      This change is also introduced in :func:`nilearn.regions.img_to_signals_labels`.
    * :func:`nilearn.plotting.view_surf` now accepts surface data provided as a file
      path.
  + CHANGES
    * :func:`nilearn.plotting.plot_img` now has explicit keyword arguments `bg_img`,
      `vmin` and `vmax` to control the background image and the bounds of the
      colormap. These arguments were already accepted in `kwargs` but not documented
      before.
  + FIXES
    * :class:`nilearn.input_data.NiftiLabelsMasker` no longer truncates region means to their integral part
      when input images are of integer type.
    * The arg `version='det'` in :func:`nilearn.datasets.fetch_atlas_pauli_2017` now  works as expected.
    * `pip install nilearn` now installs the necessary dependencies.
    * Lots of other fixes in documentation and examples. More detailed change list follows:
- Drop python2 support

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Fri Jul 26 18:00:50 UTC 2019 - Todd R <toddrme2178@gmail.com>

- Initial version

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File python-nilearn.changes of Package python-nilearn (Revision 27527a9367e91136790c9c51e3dbeab5)

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