Afqinsight

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* Upgrade Python dependencies.

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* Use the new from_dataset method to initialize objects in examples. (123)
* Add HBN (121)

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* Add Python 3.10 to CI workflows (122)
* Add fit, fit_transform, transform, predict, and score methods (119)
* NF: Allow passing an AFQDataset object as input. (113)
* Add 1D cnn models and data augmentation (112)
* (107)
* Remove groupyr ref from user guide (110)
* Remove groupyr references from contribution guide (109)

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* Fix attribute errors in bagging and cross-validation. Loosen dependency reqs (108)
* Make AFQDataset work with different input formats and make indexable (105)

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* ENH: Expose figsize and tight_layout kwargs to plot_tract_profiles (104)
* Expose legend kwargs to user in plot_tract_profiles (102)

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* BF: Fix label encoding in the presence of NaN labels (101)
* Add enforce_sub_prefix option to AFQDataset and load_afq_data (96)
* RF: For plotting, sometimes you don't want to group by any other variable (99)
* BF: Cast integer session identifiers to strings. (91)
* Add an AFQDataset class (89)
* Add callosal bundles to plot_tract_profiles (82)
* ENH: Add Convolutional Neural Network Models (83)
* TST: Improve coverage. (86)
* Fixes tests broken by previous commits. (85)
* DOC + RF: Adds docstrings to class definitions. (84)
* ENH: Allow bundle aggregation and put load_afq_data output into a named_tuple (80)
* ENH: Allow bundle aggregation and put load_afq_data output into a named_tuple (80)
* DOC: Make examples a bit more explicit (79)