912fd2e
(HEAD -> master)
Readme, minor fixes by
2019-02-08 16:02:26 +1300
4d1f64c
Fin predict script by
2019-02-08 15:23:38 +1300
53e9ddb
Start prediction script by
2019-02-08 13:29:49 +1300
15c3284
Remove defaults by
2019-02-08 13:03:09 +1300
ad1f41f
Models by
2019-02-08 13:02:09 +1300
4366c84
More models in python by
2019-02-08 11:24:57 +1300
178797b
Start converting model code to python by
2019-02-07 17:02:55 +1300
51a805c
More readme by
2019-02-07 15:20:21 +1300
2dad2bf
Combined and shiny documentation by
2019-02-07 15:06:52 +1300
41f0337
Readme for weathermod by
2019-02-07 14:31:04 +1300
e9a7040
Further testing on clusterviz.R by
2019-02-07 13:35:48 +1300
4325ad4
Polish clusterviz by
2019-02-07 00:23:01 +0000
92d0574
Clusterviz by
2019-02-07 00:09:30 +0000
9265566
fix(?) seaborn palette stuff by
2019-02-07 12:55:47 +1300
43fd22a
Starting proper clusterviz by
2019-02-06 23:53:18 +0000
fbaa494
Installing R on ec2 by
2019-02-06 23:13:41 +0000
22e470b
Update requirements by
2019-02-06 22:23:34 +0000
5496dfc
Oops by
2019-02-07 11:22:28 +1300
99e9aca
Add -d option in agg.py; add tabview program by
2019-02-07 11:19:01 +1300
03cea60
reorder by
2019-02-07 09:49:08 +1300
6e0455e
Prevent broken pipe errors by
2019-02-07 09:47:57 +1300
ed38891
Edit pickle-csv converter script by
2019-02-07 09:42:32 +1300
e52a56f
Typo by
2019-02-05 17:09:54 +1300
8256a93
Cluster Assign algorithm by
2019-02-05 17:08:23 +1300
f108ad5
Edit to doc by
2019-02-05 15:57:47 +1300
aa5b835
Pickle to csv by
2019-02-05 15:55:59 +1300
dc2d2de
Edit details for database by
2019-02-05 15:17:55 +1300
45102ff
typo by
2019-02-05 15:11:55 +1300
68fbbcc
Documentation for clustering scripts by
2019-02-05 15:10:45 +1300
06e0f94
Continue readme by
2019-02-05 14:42:53 +1300
dd218c8
Several fixes for python scripts by
2019-02-05 14:12:07 +1300
998e897
Fix some stuff with the shiny app so that it actually works by
2019-02-04 12:25:27 +1300
e1020e7
Edit models, working shiny app by
2019-02-01 17:21:59 +1300
e30e28a
Save an rds file of all models by
2019-02-01 13:10:23 +1300
d4e4591
Bunch of proper python scripts by
2019-02-05 00:24:37 +0000
200dfde
Fix a very important error; continue aggregation by
2019-02-04 04:12:03 +0000
89578e7
Start agg py by
2019-02-04 03:56:55 +0000
bcbb6fe
Clustering file by
2019-02-04 03:27:51 +0000
060efd0
Make separate dcorr script by
2019-02-04 02:34:30 +0000
b64ff94
Update requirements by
2019-02-04 01:38:41 +0000
07ff8e1
Need to actually save tcorr by
2019-02-01 03:30:48 +0000
e9a112a
Algorithm for calculating correlation matrix for 5k by
2019-01-31 23:02:25 +0000
83039c9
Collate 5k by
2019-01-31 22:24:17 +0000
91e0ad4
Download only 5k sample by
2019-01-31 22:22:59 +0000
4c3c2ff
Ok, so this should make a distance-correlation matrix of everything by
2019-01-31 21:41:45 +0000
aa49458
Save correlation matrix by
2019-01-31 21:21:02 +0000
18aaf16
Diy corr? by
2019-01-31 21:01:01 +0000
6231929
Trying to make my own corr by
2019-01-31 03:59:36 +0000
396cad8
Download and collate in wide form, month-by-month by
2019-01-31 02:29:23 +0000
19f851f
Also print the time by
2019-01-30 23:31:03 +0000
3148bc8
Further optimisations by
2019-01-30 23:29:28 +0000
ce7b167
Grab a month at a time (Still need to merge!) by
2019-01-30 23:19:36 +0000
e2691dc
Revert "Go back to downloading all" by
2019-01-30 22:55:04 +0000
491ebc8
Go back to downloading all by
2019-01-30 20:59:06 +0000
d2e524c
1 month of all data - test by
2019-01-30 02:00:07 +0000
ec351c8
Add images by
2019-01-30 01:43:14 +0000
bce871d
Save figure instead of showing; download all data by
2019-01-29 21:29:24 +0000
427fca6
Fix matplotlib errors; download the sample data by
2019-01-29 21:05:06 +0000
1f8ec45
Further readme by
2019-02-04 14:48:29 +1300
100e043
Start writing readme by
2019-02-04 13:30:11 +1300
0646dff
(Cluster5k)
Bunch of proper python scripts by
2019-02-05 00:24:37 +0000
422e98d
Fix a very important error; continue aggregation by
2019-02-04 04:12:03 +0000
8aac581
Start agg py by
2019-02-04 03:56:55 +0000
1413b4b
Clustering file by
2019-02-04 03:27:51 +0000
fce99da
Make separate dcorr script by
2019-02-04 02:34:30 +0000
95133dd
Update requirements by
2019-02-04 01:38:41 +0000
590e7f9
(shiny)
Fix some stuff with the shiny app so that it actually works by
2019-02-04 12:25:27 +1300
ac1bf7f
Edit models, working shiny app by
2019-02-01 17:21:59 +1300
a774ad9
Need to actually save tcorr by
2019-02-01 03:30:48 +0000
4724cd5
Save an rds file of all models by
2019-02-01 13:10:23 +1300
0ecaac5
Make a table of 5k sample by
2019-02-01 12:26:11 +1300
a2dd00b
Algorithm for calculating correlation matrix for 5k by
2019-01-31 23:02:25 +0000
569b047
Collate 5k by
2019-01-31 22:24:17 +0000
9d86c8e
Download only 5k sample by
2019-01-31 22:22:59 +0000
2622bf8
(AllClusters)
Ok, so this should make a distance-correlation matrix of everything by
2019-01-31 21:41:45 +0000
c7dfa86
Save correlation matrix by
2019-01-31 21:21:02 +0000
c4a946c
Diy corr? by
2019-01-31 21:01:01 +0000
7debb88
Trying to make my own corr by
2019-01-31 03:59:36 +0000
9ed4f38
Assign a new sample to clusters; look at how well it is modeled by
2019-01-31 15:44:46 +1300
f72a0ae
Download and collate in wide form, month-by-month by
2019-01-31 02:29:23 +0000
55c4b86
Also print the time by
2019-01-30 23:31:03 +0000
88989c8
Further optimisations by
2019-01-30 23:29:28 +0000
f363369
Grab a month at a time (Still need to merge!) by
2019-01-30 23:19:36 +0000
1da5969
Revert "Go back to downloading all" by
2019-01-30 22:55:04 +0000
88a5dae
Go back to downloading all by
2019-01-30 20:59:06 +0000
4491237
Fill-forward algorithm by
2019-01-31 09:27:36 +1300
9defcc3
A mostly-done cluster assigning algorithm by
2019-01-30 15:41:58 +1300
12e4bb4
1 month of all data - test by
2019-01-30 02:00:07 +0000
9d91cd5
Add images by
2019-01-30 01:43:14 +0000
a7768ea
Data frame reshaping for cluster assignment by
2019-01-30 13:44:24 +1300
5e15298
Weather including rolling maximum by
2019-01-30 12:04:41 +1300
467f694
Save figure instead of showing; download all data by
2019-01-29 21:29:24 +0000
36c26dc
Fix matplotlib errors; download the sample data by
2019-01-29 21:05:06 +0000
2ea6c12
Refactor out filenames for data pickles by
2019-01-30 09:31:16 +1300
e0bf20d
Graph predictions by
2019-01-29 17:13:48 +1300
c82da5a
Workable harmonic/weather model by
2019-01-29 13:51:49 +1300
66d259f
Early attempt at combining weather and kwh models by
2019-01-28 17:17:29 +1300
654fe4c
A harmonic model for annual patterns in rolling 24-hour minimum temperature by
2019-01-28 16:06:03 +1300
8009428
Working with old 1-year dataset by
2019-01-25 17:02:37 +1300
3dae6b0
Harmonic stuff by
2019-01-25 16:08:19 +1300