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Shrikrishna
commited on
Commit
•
1a126b0
1
Parent(s):
4b965fc
Update app.py
Browse files
app.py
CHANGED
@@ -60,34 +60,11 @@ for i in range(100, data_training_arr.shape[0]):
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y_train.append(data_training_arr[i, 0])
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x_train, y_train = np.array(x_train), np.array(y_train)
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from keras.layers import Dense, Dropout, LSTM
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from keras.models import Sequential
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model = Sequential()
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model.add(LSTM(units=50, activation="linear", return_sequences=True, input_shape = (x_train.shape[1],1)))
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model.add(Dropout(0.2))
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model.add(LSTM(units=60, activation="linear", return_sequences=True))
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model.add(Dropout(0.3))
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model.add(LSTM(units=80, activation="linear", return_sequences=True))
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model.add(Dropout(0.4))
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model.add(LSTM(units=120, activation="linear"))
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model.add(Dropout(0.5))
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model.add(Dense(units=1))
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model.compile(optimizer="adam", loss="mean_squared_error")
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model.fit(x_train, y_train, epochs=50)
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model.save('keras_model1.h5')
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#Load the model
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past_100_days = data_training.tail(100)
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final_test_df
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print("Final_test_df")
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print(final_test_df)
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input_data = scaler.fit_transform(final_test_df)
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y_train.append(data_training_arr[i, 0])
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x_train, y_train = np.array(x_train), np.array(y_train)
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#Load the model
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model = load_model("keras_model1.h5")
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past_100_days = data_training.tail(100)
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final_test_df=pd.concat([past_100_days,data_testing],ignore_index=True)
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print("Final_test_df")
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print(final_test_df)
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input_data = scaler.fit_transform(final_test_df)
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