0.3.20

#BUG FIXES

• fixed bug with importing optional libraries for interactive component viewer.

0.3.19

This release is mostly bug fixes with Design_Matrix class fixed by @ejolly

Bug Fixes

• Numerous bug fixes with Design_Matrix class
• updated issues with deprecated pandas .ix index methods
• fixed issues with onsets_to_dm
• fixed issues with appending multiple design matrix instances

0.13.18

New Functionality

• added divide dunder method to Brain_Data and Adjaceny
• added right dunder methods to Adjacency
• added axis argument to Brain_Data.std()

0.3.17

New Functionality

• new interactive plot to view components from decomposition analysis
• new median method
• can now extract median and PCA components from a masked Brain_Data instance
• can now perform KernelPCA and DictionaryLearning with Decompose method.

Changed API

• many method keywords have been changed to metric for consistency (e.g., distance methods)
• extract_roi Brain_Data method now has option to resample target mask to source data

Bug Fixes

• fixed the double plot in jupyter notebooks
• removed nans from regression standard error
• fixed issues with labels in several Adjacency plots (mds, silhouette)
• fixed issue with float and integer types in all dunder methods in Brain_Data & Adjacency
• fixed roi_to_brain function, which can now accommodate most input data types
• changed how empty labels are stored in Adjacency
• added mask argument to check_brain_data
• refactored and updated apply_mask, new flag to resample mask to

0.3.16

Problems uploading to pypi - see version 0.3.15 for full release notes.

0.3.15

New Functionality

• added plot saving functionality for full, glass, and min views
• predict now uses balanced_accuracy as default for classification accuracy

Bug Fixes

• fixed bug with glover_hrf function which will impact convolution with design_matrix
• fixed numerous bugs with adjacency class
• fixed multiple mugs in permutation tests
• fixed bug with 3mm brain mask
• fixed bug checking for isometric voxels which was causing plotting errors
• fixed bug in plotting save
• updated sklearn requirements which was causing bug with backwards compatibility for balanced_accuracy
• fixed bugs with hdf5 with adjacency instances

0.3.14

New Functionality

• Added ability to read and write Brain_Data objects to hdf5. This is WAY faster than nifti and is the recommended method for large datasets.
• Randomise - can now run fast permutation testing similar to FSL.
• Add options for holm-bonf to ttest and randomise
• Added ability to estimate Social Relations Model using Adjacency Class.
• Added new SimulateGrid class for generating random data for simulations in 2D

Bug Fixes

• fixed fetch_localizer
• fixed bug in Brain_Data.smooth where original class instance attributes weren't being propagated.
• cleaned up code for distance_correlations
• fixed bug with Adjacency when NaNs were present on diagonal.
• fixed travis bug.
• fixed plotting bug

0.3.13

New Functionality

• Can now multiply vectors to brain data instances. useful for making contrasts

*Bug Fixes

• Updated documentation
• Fixed readthedocs conda environment

0.3.12

New Functionality

• added ISC output to align output.
• added new function to fetch pinel localizer dataset
• added smooth method to Brain_Data Class
• added find_spikes method to Brain_Data Class

Bug Fixes

• updated align tests

Notes

• dropped support for Python 2.7. Will no longer be running test suite.

0.3.11

New Functionality

• Can now perform multi-region and/or searchlight based prediction using Brain_Data.predict_multi
• Brain_Data.predict now support multi-class classification
• New interactive plotting based on nilearn using Brain_Data.iplot()
• plotting functions have been renamed to remove camel case (e.g. plotBrain -> plot_brain)
• Brain_Data.plot now integrates old plotting functions in method call using argument view. Still defaults to axial slices but can optionally display, glass, mni (for ortho slices) or both
• new distance_correlation, procrustes_distance, jackknife_permutation functions in nltools.stats
• expand_mask, collapse_mask, create_sphere can now take custom masks
• Brain_Data.standarize gains new axis argument

Bug Fixes

• Fixed issue in boolean indexing with ROC forced choice computation
• Fixed edge case bug in fdr
• holm_bonf behaves like fdr now and fixes incorrect pvalue bug
• check_numpy_square_matrix validates properly now
• fixed issue in failed arma regression if statsmodels was not installed
• fixed issue in failed interactive plotting if ipywidgets was not installed