# INTERVAL = '30min'
TIMESTEP = 6
STARTDATE = '20160701'
ENDDATE = '20160829'
CITY = 'BikeNYC2'
INTERVAL = 30  # 30min
DAYTIMESTEP = int(24 * 60 / INTERVAL)
WEEKTIMESTEP = DAYTIMESTEP * 7
HEIGHT = 10
WIDTH = 20
CHANNEL = 2
BATCHSIZE = 4
SPLIT = 0.2
LEARN = 0.0001
EPOCH = 200
LOSS = 'mse'
OPTIMIZER = 'adam'
MAX_FLOWIO = 299.0
trainRatio = 0.8 # 80 days for training and validation, 20 days for testing.
dataPath = '../../{}/'.format(CITY)
dataFile = dataPath + 'flowioK_{}_{}_{}_{}min.npy'.format(CITY, STARTDATE, ENDDATE, INTERVAL)