blob: 61ddbfd5c6feadb909d3e40fd23b21136f67c631 (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
|
import model.simple_mlp as model
n_dow = 7 # number of division for dayofweek/dayofmonth/hourofday
n_dom = 31
n_hour = 24
n_begin_end_pts = 5 # how many points we consider at the beginning and end of the known trajectory
n_end_pts = 5
n_valid = 1000
dim_embed = 10
dim_input = n_begin_end_pts * 2 * 2 + dim_embed + dim_embed
dim_hidden = [200, 100]
dim_output = 2
learning_rate = 0.0001
momentum = 0.99
batch_size = 32
|
