hyperparameter-tuning

Bug with GPU Model

Currently, while using pruning methods like TaylorFOWeight Pruner, If I use a model on GPU for getting the metrics (as calculated for getting masks), it fails on line while creating masks. The reason why it fails i

Scikit-learn provides multi-class options for area under curve: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html

We should provide the most common ones, such as the OVO Macro averaging used by Auto-Gluon.

Describe the bug
Sometimes we init using a class that is not our parent. We should not do this.

To Reproduce
See: https://app.codacy.com/gh/Neuraxio/Neuraxle/issues?&filters=W3siaWQiOiJMYW5ndWFnZSIsInZhbHVlcyI6W119LHsiaWQiOiJDYXRlZ29yeSIsInZhbHVlcyI6WyJDb2RlU3R5bGUiXX0seyJpZCI6IkxldmVsIiwidmFsdWVzIjpbXX0seyJpZCI6IlBhdHRlcm4iLCJ2YWx1ZXMiOlsiMTcxNCJdfSx7ImlkIjoiQXV0aG9yIiwidmFsdWVzIjpb

The logo in dark mode looks weird:

Maybe we should disable?

Description

Add pytest script to test functions written in run_classifications.py.

Acceptance Criteria

-[ ] Add unit tests for functions in run_classifications.py

Hi, with recent versions of matplotlib, ExperimentResult.plot() gives me the warning:

WARNING:matplotlib.legend:No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.