v0.4.1 bump dash requirement for dcc.Clipboard support

Update setup.py

v0.4.0: improved dashboard, some breaking changes

Delete dashboard_demo.mp4

v0.3.0: introducing dashboard

This release adds a dashboard functionality based on plotly dash that allows you to interactively build decision rules using parallel plots of your data.

There are many, many breaking changes, so almost all 0.2.* code will no longer work.

v0.2.1: parallel_coordinates and MultiRange rules

Version 0.2.1:

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: MultiRangeAndRule and MultiRangeOrRule.
• new nodes: MultiRangeAndNode and MultiRangeOrNode.

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

v0.2: edit and score your rules

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.

v0.1.2: using find_packages() in setup.py

Merge branch 'master' of https://github.com/oegedijk/rule_estimator i…

v0.1.1: setup.py packages

Update setup.py

v0.1: initial release

Initial release!

Features:

• both RuleClassifier and RuleRegressor
• save to and load from yaml files
• create your own business rules or use predefined ones