STARTDATE = '20150101'
ENDDATE = '20150301'
CITY = 'TaxiNYC'
INTERVAL = 30  # 30min
HEIGHT = 10
WIDTH = 20
CHANNEL = 2
MAX_FLOWIO = 1283.0

DAYTIMESTEP = int(24 * 60 / INTERVAL)
trainRatio = 0.8  # train/test

EPOCH = 200
BATCHSIZE = 4
SPLIT = 0.2  # train/val
LR = 0.0001
LOSS = 'mse'
OPTIMIZER = 'adam'


dataPath = '../../{}/'.format(CITY)
dataFile = dataPath + 'flowioK_{}_{}_{}_{}min.npy'.format(CITY, STARTDATE, ENDDATE, INTERVAL)

len_closeness = 3  # length of closeness dependent sequence
len_period = 1  # length of peroid dependent sequence
len_trend = 1  # length of trend dependent sequence
T_closeness, T_period, T_trend = 1, DAYTIMESTEP, DAYTIMESTEP * 7

pre_F = 32  # filter size of conv
conv_F = 32  # input channels of ResPlus
R_N = 2  # nums of ResPlus
is_plus = True
plus = 8  # channels for long range spatial dependence
rate = 1  # pooling size
is_pt = False
drop = 0.1
multi_scale_fusion = True
