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Take empirical plant-efficacy data from BPOM #153
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This means that the feature vector for learning should include binary string [0,1,...] that encode plant composition, similar to ijahv1. This implies we have to run 2 kinds of predictors: |
plant -> someCompound -> someProtein -> Efficacy/DiseaseClassification |
This depends on #107 |
Superceded by #183 |
This refers to the old data used by Farit, Aries, ... for Ijahv1.
This is also for compensating the fact that plant-compound data are scarce.
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