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feat(Config): feature extractors are enabled one-by-one with a bool, added previous model to model.fit() (#77)

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* feat(Config): feature extractors are enabled one-by-one with a bool, added previous model to model.fit()

* fix(Sweep): removed unused `other_features` parameter that fails sweep

* feat(Config): using preset names for defining feature extractors again

* fix(Tests): fixed model stub classes
This commit is contained in:
Mark Aron Szulyovszky
2021-12-23 10:35:20 +01:00
committed by GitHub
parent 6ae8acf70e
commit b6cd6b14fe
14 changed files with 78 additions and 44 deletions
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training/walk_forward.py
+1 -1
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@@ -58,7 +58,7 @@ def walk_forward_train_test(
X_slice = X_slice.to_numpy()
current_model = model.clone()
current_model.fit(X_slice, y_slice.to_numpy())
current_model.fit(X_slice, y_slice.to_numpy(), models[index-1])
iterations_before_retrain = retrain_every
else:
current_model = models[index-1]