Additional ML Flavors

Add various additional ML flavors, and extend ML capabilities to classification and clustering. The following flavors are now included:

• pyml:data_input:read_csv:pandas
• pyml:data_input:train_test_split:sklearn
• pyml:pre_processing:min_max_scaler:sklearn
• pyml:pre_processing:remove_duplicates:pandas
• pyml:pre_processing:remove_missing:pandas
• pyml:pre_processing:standardization:sklearn
• pyml:model:adaboosted_trees_regression:sklearn
• pyml:model:bagged_trees_regression:sklearn
• pyml:model:gradboosted_trees_regression:sklearn
• pyml:model:k_means_clustering:sklearn
• pyml:model:kernel_ridge_regression:sklearn
• pyml:model:lasso_regression:sklearn
• pyml:model:multilayer_perceptron:sklearn
• pyml:model:random_forest_classification:sklearn
• pyml:model:random_forest_regression:sklearn
• pyml:model:ridge_regression:sklearn
• pyml:post_processing:parity_plot:matplotlib
• pyml:post_processing:pca_2d_clusters:matplotlib
• pyml:post_processing:roc_curve:sklearn
• pyml:setup_classification_variables_packages
• pyml:setup_clustering_variables_packages

2021.04.15-rc1

• release candidate, to get us out of this NPM version ordering confusion

2021.04.12.2

• Bugfix the github action for publishing to npm

2021.04.12.1

• Bugfix to delay evaluation of the application asset templates, to avoid filesystem access in client-side use

2021.04.12

• Initial release