22 lines
668 B
Python
22 lines
668 B
Python
from keras.models import Sequential
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from keras.layers import Dense, Dropout, LSTM
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from utils import N_UNITS, DROPOUT_RATE
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class Model(Sequential):
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def __init__(self, x, y):
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super().__init__()
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self.add(LSTM(N_UNITS, input_shape=(x.shape[1], x.shape[2]), return_sequences=True))
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self.add(Dropout(DROPOUT_RATE))
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self.add(LSTM(N_UNITS))
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self.add(Dropout(DROPOUT_RATE))
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self.add(Dense(y.shape[1], activation='softmax'))
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def compile_model(self):
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self.compile(loss='categorical_crossentropy', optimizer='adam')
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def fit_model(self, x, y, batch_size, epochs):
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self.fit(x, y, batch_size, epochs)
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