In this release we update the ML interfacing and introduce the CandidateSelector
class.
What's New
CandidateSelector
class added for choosing systems to evaluate (#34)
Improvements
- Whenever an ML class depends on another, it now must be provided the instantiated object as an argument rather than the class instantiating it internally. For example,
Predictor
now takes aFeaturizer
directly rather than the parameters needed to instantiate theFeaturizer
internally. This is to provide the user with more direct control over these objects. (#34) - The
NH
andOH
placement defaults are now 45° rather than vertical (to be more general) (#35) - Minor improvements to documentation and testing (#34)