Changelog

started work on 188 which overhauls the existing shapiq tutorial notebooks and fixes 199
added Exact Core computation closing #182
refactored the shapiq.games.benchmark module into a separate shapiq.benchmark module by moving all but the benchmark games into the new modul. This closes #169 and makes benchmarking more flexible and convenient.
add waterfall plot as described in #34
add a legend to benchmark plots #170
fix the force plot not showing and its baseline value
improve tests for plots and benchmarks
renames explanation graph to si_graph
get_n_order now has optional lower/upper limits for the order
computing metrics now tries to resolve not-matching interaction indices and will throw a warning instead of a ValueError #179
...

Major release of the shapiq Python package including (among others):

approximator module implements over 10 approximators of Shapley values and interaction indices.
exact module implements a computer for over 10 game theoretic concepts like interaction indices or generalized values.
games module implements over 10 application benchmarks for the approximators.
explainer module includes a TabularExplainer and TreeExplainer for any-order feature interactions of machine learning model predictions.
interaction_values module implements a data class to store and analyze interaction values.
plot module allows visualizing interaction values.
datasets module loads datasets for testing and examples.

Documentation of shapiq with tutorials and API reference is available at https://shapiq.readthedocs.io

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