25 lines
895 B
Python
25 lines
895 B
Python
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from lstm_chem.utils.smiles_tokenizer import SmilesTokenizer
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from lstm_chem.generator import LSTMChemGenerator
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class LSTMChemFinetuner(LSTMChemGenerator):
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def __init__(self, modeler, finetune_data_loader):
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self.session = modeler.session
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self.model = modeler.model
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self.config = modeler.config
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self.finetune_data_loader = finetune_data_loader
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self.st = SmilesTokenizer()
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def finetune(self):
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self.model.compile(optimizer=self.config.optimizer,
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loss='categorical_crossentropy')
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history = self.model.fit_generator(
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self.finetune_data_loader,
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steps_per_epoch=self.finetune_data_loader.__len__(),
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epochs=self.config.finetune_epochs,
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verbose=self.config.verbose_training,
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use_multiprocessing=True,
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shuffle=True)
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return history
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