pycaret 2.2.1

PyCaret 2.2.1

on Python PyPI

Release: PyCaret 2.2.1 | Release Date: November 09, 2020 (SEVERAL BUGS FIX)

Post-release 2.2, the following issues have been fixed:

• Fixed plot_model = 'tree' exceptions.
• Fixed issue with predict_model causing errors with non-contiguous indices.
• Fixed issue with remove_outliers parameter in the setup function. It was introducing extra columns in training data. The issue has been fixed now.
• Fixed issue with plot_model in pycaret.clustering causing errors with non-contiguous indices.
• Fixed an exception when the model was saved or logged when imputation_type is set to 'iterative' in the setup function.
• compare_models now prints intermediate output when html=False.
• Metrics in pycaret.classification for binary classification are now calculated with average='binary'. Before they were a weighted average of positive and negative class, now they are just calculated for positive class. For multiclass classification average='weighted'.
• optimize_threshold now returns optimized probability threshold value as numpy object.
• Fixed issue with certain exceptions in compare_models.
• Added profile_kwargs argument in the setup function to pass keyword arguments to Pandas Profiler.
• plot_model, interpret_model, and evaluate_model now accepts a new parameter use_train_data which when set to True, generates plot on train data instead of test data.