v1.12.0

New Features

• clustering algorithms run in parallel
• show error when no clusters are adjusted
• inertia analysis added for kmeans clustering
• 3D projection of clustering and PCA analysis
• number of clusters can be specified from as argument or infered from number of classes
• explore now performs clustering analysis
• --no-tests flag added to action to_fdeep
• ergo serve will now autoload classes.json if available
• unnormalized features are shown
• ergo info now reports sklearn version
• explore graphs and tables have individual options
• table with stats for each feature added to ergo explore
• feature correlation matrix added to ergo explore
• pca explained variance chart
• pca decomposition showed in ergo explore
• explore action added
• added calculation of correlation for each predictor with target
• new noisy data label added to dbscan plots
• new dbscan clustering algorithm added

Fixes

• skipping repeated correlation fixed
• typo in explore help menu
• redundant action removed
• test for pkl files when cheking existing datasets
• fixed requirements.txt ergo -> ergo-ai
• fixed an issue caused by newer sklearn.classification_report versions breaking backwards compatibility (fixes #5)
• added seaborn to requirements.txt
• better logs

Misc

• Readme updated
• Refactoring