hotfix
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@ -641,7 +641,7 @@ class trainer(object):
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named_steps[k].fit = lambda X, y: named_steps[k].train_on_batch(to_dense_if_sparse(X), y) # ← why has keras no sparse support on batch progressing!?!?!
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if batch_size is None:
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self.pm.fit(X = self.sdm.X[:max_size], y = self.sdm.y[:max_size], validation_split=0.1, epochs=n_epochs)
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self.pm.fit(X = self.sdm.X[:max_size], y = self.sdm.y[:max_size], epochs=n_epochs)
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else:
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n = len(self.sdm.X) // batch_size
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for i in range(n_epochs):
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