RELEASE_NOTES.md

Version 0.2.1:

Breaking Changes

New Features

• new estimator.parallel_coordinates(X, y, rule_id) method to plot a parallel coordinates plot of data entering rule rule_id.
• new rules: MultiRange and MultiRangeAny.
• new nodes: MultiRangeSplit and MultiRangeAnySplit.

Bug Fixes

• Fixes bugs with replace_rule and append_rule

Improvements

• append_rule now also inserts in the correct position when rule_id is inside a CaseWhen rule

Other Changes

version 0.2:

Breaking Changes

• Custom rules are now defined with __rule__ method that returns a boolean mask instead of with predict(X) method.
• DummyRule is now called PredictionRule

New Features

• each rule now gets assigned a rule_id, which is displayed when you call estimator.describe()
• new score_rules(X, y) method that shows performance of individual rules
• new get_igraph() method, that returns an igraph Graph object of the rules
• new plot() method that returns a plotly figure of the rules
• new get_rule(rule_id), replace_rule(rule_id, new_rule) and append_rule(rule_id, new_rule) methods
• new get_rule_params(rule_id) and set_rule_params(rule_id, **params) methods
• new get_rule_input(rule_id, X, y) and get_rule_leftover(rule_id, X, y) to get the specific data that either flows into a rule, or the unlabeled data that flows out of a rule. This helps in constructing new rules as you can target it to the data that would appear in that part of the rule graph.

Improvements

• data is now split up and only non-labeled data is passed to downstream rules.

Template:

Breaking Changes

New Features

Bug Fixes

Improvements

Other Changes