Welcome to monoboost’s documentation!¶
Monoboost is the first instance based classification algorithm that allows for partial monotonicity (i.e. some non-monotone features). It uses standard inequality constraints on the monotone features, and novel L1 cones to place sensible constraints on non-monotone features.
To install, simply use pip install monoboost
. For full documentation you’ve come to the right place. For a brief overview, refer to the README file in the Github repository.
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