At last when I tried featuretools I was searching for a particular feature which I was expecting. When you have > 30 feature it is kind of time consuming to find the feature.
Has the feature_names object (second return object of the dfs method) a method to search for some text patterns (regex)?
feature_names is a list of "featuretools.feature_base.feature_base.IdentityFeature"
Post Scriptum: In the featuretools documentation of the API the return objects are not described
Deep Feature Synthesis returns feature objects. If you call FeatureBase.get_name() on one of those objects, it will return the name as a string. You can use this to implement whatever selection logic you'd like. For example, here is the code to make a list of all feature objects where amount is in the name
import featuretools as ft
es = ft.demo.load_mock_customer(return_entityset=True)
fl = ft.dfs(target_entity="customers", entityset=es, features_only=True)
keep = []
for feature in fl:
if "amount" in feature.get_name():
keep.append(feature)
