107 LSTM(256, activation="relu", input_shape=(1, lookback), recurrent_dropout=0.1)
108 )
109 model.add(Dense(512, activation="relu"))
110 # model.add(Dense(256, activation='relu'))111 model.add(Dense(1, activation="tanh"))
112 model.compile(optimizer="adam", loss="mse")
113
179 return dates, levels
180
181
182# if __name__=="__main__":183# print("Example of station data:")
184# print(json.dumps(fetch_station_data()['items'][0], indent=4))
185# print("Example of water level data:")
8def run():
9 stations = build_station_list()
10
11 # date, data, demo, prediction = predict('Cam', dataset_size=1000, lookback=2000, iteration=100, display=300, use_pretrained=True, batch_size=256, epoch=20)12 date, data = predict(
13 stations[5].name,
14 dataset_size=1000,
It is recommended to remove any commented code in your codebase.
for item in sequence:
# print(item)
do_something(item)
# def old_function():
# '''Older implementation that has been replaced'''
# data = get_data()
# api.post(data)
for item in sequence:
do_something(item)