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update

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Newnius 2020-05-02 10:19:41 +08:00
parent 4bd70489c5
commit ac607fc170
2 changed files with 13 additions and 15 deletions
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25
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3
train.py
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@ -60,6 +60,9 @@ def invert_scale(scaler, X, yhat):
# fit an LSTM network to training data # fit an LSTM network to training data
def fit_lstm(train, batch_size, nb_epoch, neurons): def fit_lstm(train, batch_size, nb_epoch, neurons):
t = train.shape[0] % batch_size
train = train[train.shape[0] - t * batch_size:]
X, y = train[:, 0:-1], train[:, -1] X, y = train[:, 0:-1], train[:, -1]
X = X.reshape(X.shape[0], 1, X.shape[1]) X = X.reshape(X.shape[0], 1, X.shape[1])
model = Sequential() model = Sequential()