Commit Graph

16 Commits

Author SHA1 Message Date
Mahdi Dibaiee
e3e3fecf4d refactor: working version with command-line utilities 2019-03-31 09:52:00 +04:30
Mahdi Dibaiee
fe3f539d7d updates 2019-03-07 06:55:23 +03:30
Mahdi Dibaiee
8477c02aae fix: use correct order for prediction 2019-03-05 15:23:29 +03:30
Mahdi Dibaiee
3dcafddb8c refactor(data): include latitude longitude in columns, not indices 2019-03-05 11:29:30 +03:30
Mahdi Dibaiee
865cc775ed fix(nn): better normalization, weight initialization and activation 2019-02-28 17:22:50 +03:30
Mahdi Dibaiee
c28fc0850f updates 2019-02-28 13:34:47 +03:30
Mahdi Dibaiee
f268e72244 feat(temps): various temperatures 2019-02-27 15:06:20 +03:30
Mahdi Dibaiee
d8365d6285 feat(models): train models and evaluate them 2019-02-26 11:50:31 +03:30
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