Mahdi Dibaiee
|
0d9a0068b1
|
feat(nn): first model for predicting temp and precip
|
2019-02-20 09:06:03 +03:30 |
|
Mahdi Dibaiee
|
c490f2006b
|
feat(draw): draw dataframe on map
|
2019-02-17 09:50:20 +03:30 |
|
Mahdi Dibaiee
|
a2ff08b195
|
fix(data.py): precipication value was same as temp
|
2019-02-14 12:36:09 +03:30 |
|
Mahdi Dibaiee
|
4318cf71be
|
feat(tf): transform dataframe to tensorflow dataset
|
2019-02-12 08:41:33 +03:30 |
|
Mahdi Dibaiee
|
ef604661ca
|
feat(data): seasonal temp/precip data + distance to water
|
2019-02-11 14:49:14 +03:30 |
|
Mahdi Dibaiee
|
caa1b0443c
|
fix(data.py): optimize for optimal performance and generate data
|
2019-02-08 18:14:57 +03:30 |
|
Mahdi Dibaiee
|
902be97332
|
feat(data.py): data-reading file
|
2019-02-03 09:04:28 +03:30 |
|
Mahdi Dibaiee
|
37d26dba75
|
initial version
|
2019-02-02 16:16:38 +03:30 |
|