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Pass verbosity to predict and DeepLC Retrainer #82

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Sep 19, 2024
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3 changes: 2 additions & 1 deletion deeplc/deeplc.py
Original file line number Diff line number Diff line change
Expand Up @@ -610,7 +610,7 @@ def make_preds_core(
try:
X
ret_preds = mod.predict(
[X, X_sum, X_global, X_hc], batch_size=self.batch_num_tf
[X, X_sum, X_global, X_hc], batch_size=self.batch_num_tf, verbose=int(self.verbose)
).flatten()
except UnboundLocalError:
logger.debug("X is empty, skipping...")
Expand Down Expand Up @@ -1170,6 +1170,7 @@ def calibrate_preds(
freeze_layers=True,
n_epochs=self.n_epochs,
freeze_after_concat=1,
verbose=self.verbose,
)

self.model = models
Expand Down