require_all_predictors default

[DanielRichardBiber]

Wondering if there is another place to set, require_all_predictors to 'False' other than "init"? I was hoping to increase the number of models the 'predictAll' method would produce. Switching the default value to 'False' did not seem to change the result.

self.require_all_predictors = False in the init method

epall = ep.EdgePrediction()
s = epall.CSV_to_graph('data.csv', header=True, srcNameCol=0, srcTypeCol=1, tgtNameCol=4, tgtTypeCol=3, edgeTypeCol=2)
epall.preprocess()
epall.to_predict = 'HAS_SIDE_EFFECT'
epall.network_order = ['HAS_SIDE_EFFECT', 'DRUG_TARGETS', 'INDICATED_FOR']

AllResult = epall.predictAll(calculate_auc = True)

still produces several results that indicate:

self.require_all_predictors is True and x/3 networks have 0 predictor overlap
not optimizing a model for CXXXXX

Again my main goal is to just generate a higher percentage of models. Thank you for your time and attention.

[dbeanm]

Good point, I'll move that. I would have thought your changes would have worked but what I do is set it afterwards:

epall = ep.EdgePrediction()

epall.require_all_predictors = False

epall.CSV_to_graph( #etc
...

Does that work?

[DanielRichardBiber]

That change does enable the construction models for all predictors. Thanks for your attention to the issues.