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3e42972fb0
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dlr: add comment
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2023-05-11 17:45:52 +01:00 |
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fe05dd33fc
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dlr: missing quotes
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2023-05-11 16:23:36 +01:00 |
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5a73388a80
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dlr: add RANDSEED to slurm
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2023-05-11 16:02:13 +01:00 |
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ae0c672f60
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Merge branch 'main' of git.starbeamrainbowlabs.com:sbrl/PhD-Rainfall-Radar
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2023-05-11 15:59:08 +01:00 |
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20092c6829
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shuffle: add random seed env var
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2023-05-11 15:59:01 +01:00 |
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535bd6f579
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dlr: fix crash
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2023-05-07 19:00:02 +01:00 |
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ac040717e6
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autoset the value of factor
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2023-05-04 19:57:02 +01:00 |
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214afcc914
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dlr: steps per execution is ugh
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2023-05-04 19:54:51 +01:00 |
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f0a2e7c450
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dlr: print values of new env vars
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2023-05-04 19:42:40 +01:00 |
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8593999eb6
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dlr: add JIT_COMPILE
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2023-05-04 18:22:18 +01:00 |
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dddc08c663
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dlr: set steps_per_execution to 16 by default
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2023-05-04 18:13:08 +01:00 |
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e2e6a56b40
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dlr: add UPSAMPLE env var
...AND actually add the functionality this time!
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2023-05-04 17:40:16 +01:00 |
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31687da931
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celldice: actually do log(cosh())
....just wow.
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2023-05-03 15:00:10 +01:00 |
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4a4df380e3
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if name == main
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2023-03-23 18:09:52 +00:00 |
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81cad8e6b4
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newline
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2023-03-23 18:01:21 +00:00 |
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1bd59dc038
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finish script to plot generic metrics
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2023-03-23 18:00:00 +00:00 |
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698bbe2ffb
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start working on plotting script, but it isn't finished yet
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2023-03-22 17:45:06 +00:00 |
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6b17d45aad
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dlr: plot all metrics
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2023-03-22 17:41:34 +00:00 |
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e565c36149
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deeplabv3+: prepare for ConvNeXt
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2023-03-14 21:51:41 +00:00 |
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779b546897
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dlr: log new env vars
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2023-03-14 20:28:22 +00:00 |
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623208ba6d
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dlr: add env var for water thresholding
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2023-03-14 20:18:39 +00:00 |
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c5fc62c411
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dlr CHANGE: Add optional log(cosh(dice_loss))
Ref https://doi.org/10.1109/cibcb48159.2020.9277638
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2023-03-10 20:24:13 +00:00 |
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f25d1b5b1a
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dlr CHANGE: properly normalise the heightmap
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2023-03-10 19:13:32 +00:00 |
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8e76ac2864
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dlr: typo
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2023-03-10 17:40:16 +00:00 |
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5e79825292
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dlr: tf.Tensor → numpy array → list → json → disk
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2023-03-10 17:34:49 +00:00 |
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b287970032
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dlr: missing import
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2023-03-10 17:31:03 +00:00 |
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e6cd0aa1b9
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dlr: fix crash
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2023-03-10 17:14:06 +00:00 |
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cf37aeb11a
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dlr: truncate jsonl before we start to avoid mixing things up
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2023-03-10 17:11:10 +00:00 |
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5fdf229d06
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dlr: write raw outputs to jsonl file
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2023-03-10 17:07:44 +00:00 |
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d24381babb
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dlr: make size fo prediction graph actually sensible
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2023-03-09 19:54:27 +00:00 |
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8d932757b5
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dlr: variable name typo
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2023-03-09 19:44:39 +00:00 |
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b6ca885fe2
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dlr: told you so
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2023-03-09 19:43:35 +00:00 |
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f9df19cfd5
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dlr: next of several typos
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2023-03-09 19:34:45 +00:00 |
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96eae636ea
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dir: add missing functions to .load() custom objs
apparently metrics are also required to be included here...
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2023-03-09 19:26:57 +00:00 |
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ad52ae9241
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dir: also plot inputs
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2023-03-09 19:13:25 +00:00 |
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436ab78438
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dlr: when predicting, also display heatmap
...of positive predictions
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2023-03-09 18:54:28 +00:00 |
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5195fe6b62
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jupyter test: heatmaps in matplotlib & seaborn
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2023-03-09 18:52:56 +00:00 |
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45c76ba252
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typo
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2023-03-03 22:46:02 +00:00 |
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c909cfd3d1
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fixup
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2023-03-03 22:45:34 +00:00 |
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0734201107
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dlr: tf graph changes
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2023-03-03 22:44:49 +00:00 |
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750f46dbd2
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debug
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2023-03-03 22:39:30 +00:00 |
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5472729f5e
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dlr: fixup argmax & y_true/y_pred
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2023-03-03 22:37:36 +00:00 |
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bc734a29c6
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y_true is one-hot, convert to sparse
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2023-03-03 22:20:11 +00:00 |
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c7b577ab29
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specificity: convert to plaintf
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2023-03-03 22:16:48 +00:00 |
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26cc824ace
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dlr: MeanIoU fixup
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2023-03-03 22:10:49 +00:00 |
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e9dcbe3863
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dlr: fixup
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2023-03-03 22:09:05 +00:00 |
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5c6789bf40
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meaniou: implement one-hot version
it expects sparse, but our output is one-hot.
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2023-03-03 22:04:21 +00:00 |
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6ffda40d48
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fixup
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2023-03-03 21:54:45 +00:00 |
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9b13e9ca5b
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dlr: fixup argmax first
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2023-03-03 21:51:24 +00:00 |
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7453c607ed
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argmax for sensitivity & specificity too
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2023-03-03 21:49:33 +00:00 |
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