-
Notifications
You must be signed in to change notification settings - Fork 93
/
error.py
40 lines (31 loc) · 1.05 KB
/
error.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
from theano import tensor
import theano
import numpy
def const(v):
if theano.config.floatX == 'float32':
return numpy.float32(v)
else:
return numpy.float64(v)
rearth = const(6371)
deg2rad = const(3.141592653589793 / 180)
def hdist(a, b):
lat1 = a[:, 0] * deg2rad
lon1 = a[:, 1] * deg2rad
lat2 = b[:, 0] * deg2rad
lon2 = b[:, 1] * deg2rad
dlat = abs(lat1-lat2)
dlon = abs(lon1-lon2)
al = tensor.sin(dlat/2)**2 + tensor.cos(lat1) * tensor.cos(lat2) * (tensor.sin(dlon/2)**2)
d = tensor.arctan2(tensor.sqrt(al), tensor.sqrt(const(1)-al))
hd = const(2) * rearth * d
return tensor.switch(tensor.eq(hd, float('nan')), (a-b).norm(2, axis=1), hd)
def erdist(a, b):
lat1 = a[:, 0] * deg2rad
lon1 = a[:, 1] * deg2rad
lat2 = b[:, 0] * deg2rad
lon2 = b[:, 1] * deg2rad
x = (lon2-lon1) * tensor.cos((lat1+lat2)/2)
y = (lat2-lat1)
return tensor.sqrt(tensor.sqr(x) + tensor.sqr(y)) * rearth
def rmsle(a, b):
return tensor.sqrt( ( (tensor.log(a+1)-tensor.log(b+1)) ** 2 ).mean() )