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NeuroData's package for exploring and using progressive learning algorithms

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Bumps [ipython](https://github.com/ipython/ipython) from 7.16.3 to 8.10.0. Release notes Sourced from ipython's releases. See https://pypi.org/project/ipython/ We do not use GitHub release anymore. Please see PyPI https://pypi.org/project/ipython/ Commits 15ea1ed release 8.10.0 560ad10...

dependencies

#### Reference issue Close #546 Close #543 #### Type of change Documentation, Website #### What does this implement/fix? - Fix attribute name typos - Modify website build python version ####...

My issue is about fixing test errors on `MLKNNClassificationVoter`. #### Reproducing code example: https://github.com/neurodata/ProgLearn/blob/ca15f3b22496bee14f85627ad30e433c1bcd58b8/proglearn/tests/test_voter.py#L81-L104 #### Error message ``` __ TestKNNClassificationVoter.TestMLKNNClassificationVoter.test_correct_vote ___ x = 0.0 def isintlike(x): """Is x appropriate as...

Netlify is removing Xenial support in Nov.

#### Reference issue - #39 - Fix #543 #### Type of change - Updated "scene_segmentation_rf_isic_tutorial.ipynb" to include ProgLearn - Correct "task_id_to_trasnformer_id_to_voters" to "task_id_to_transformer_id_to_voters" #### What does this implement/fix? - Used...

Part of #34: Add a function that updates previous tasks based on new data with task labels

ndd

#### Reference issue Experiment for task unaware learning. #### Type of change Add jupyter notebook containing experiment and functions file to run the experiment. #### What does this implement/fix? Adds...

My issue is about fixing typos in `progressive_learner.py`, `forest.py`, and `network.py`. #### Snapshot of documentation error: `task_id_to_trasnformer_id_to_voters` #### Additional context

## Background Honest decision trees build upon conventional decision trees by splitting the samples into two sets: one for learning the decision tree structure and the other for learning the...

ndd
sklearn

Part of #34: Add experiments extending Gaussian XOR by adding new XOR data to see performance on R-XOR & XNOR

ndd