Commit graph

602 commits

Author SHA1 Message Date
ad52ae9241
dir: also plot inputs 2023-03-09 19:13:25 +00:00
436ab78438
dlr: when predicting, also display heatmap
...of positive predictions
2023-03-09 18:54:28 +00:00
5195fe6b62
jupyter test: heatmaps in matplotlib & seaborn 2023-03-09 18:52:56 +00:00
45c76ba252
typo 2023-03-03 22:46:02 +00:00
c909cfd3d1
fixup 2023-03-03 22:45:34 +00:00
0734201107
dlr: tf graph changes 2023-03-03 22:44:49 +00:00
750f46dbd2
debug 2023-03-03 22:39:30 +00:00
5472729f5e
dlr: fixup argmax & y_true/y_pred 2023-03-03 22:37:36 +00:00
bc734a29c6
y_true is one-hot, convert to sparse 2023-03-03 22:20:11 +00:00
c7b577ab29
specificity: convert to plaintf 2023-03-03 22:16:48 +00:00
26cc824ace
dlr: MeanIoU fixup 2023-03-03 22:10:49 +00:00
e9dcbe3863
dlr: fixup 2023-03-03 22:09:05 +00:00
5c6789bf40
meaniou: implement one-hot version
it expects sparse, but our output is one-hot.
2023-03-03 22:04:21 +00:00
6ffda40d48
fixup 2023-03-03 21:54:45 +00:00
9b13e9ca5b
dlr: fixup argmax first 2023-03-03 21:51:24 +00:00
7453c607ed
argmax for sensitivity & specificity too 2023-03-03 21:49:33 +00:00
8470aec996
dlr: fixup 2023-03-03 21:45:51 +00:00
3d051a8874
dlr: HACK: argmax to convert [64,128,128, 2] → [64,128,128] 2023-03-03 21:41:26 +00:00
94a32e7144
dlr: fix metrics 2023-03-03 20:37:22 +00:00
c7f96ab6ab
dlr: typo 2023-03-03 20:23:03 +00:00
06f956dc07
dlr: default LOSS, EPOCHS, and PREDICT_COUNT to better values
Ref recent experiments
2023-03-03 20:17:08 +00:00
b435cc54dd
dlr: add sensitivity (aka recall) and specificity metrics 2023-03-03 20:00:05 +00:00
483ecf11c8
add specificity metric 2023-03-03 19:35:20 +00:00
d464c9f57d
dlr: add dice loss as metric
more metrics to go tho
2023-03-03 19:34:55 +00:00
f70083bea4
dlr eo: set custom_objects when loading model 2023-03-01 17:19:10 +00:00
b5f23e76d1
dlr eo: allow setting DIR_OUTPUT directly 2023-03-01 16:54:15 +00:00
4fd9feba4f
dlr eo: tidyup 2023-03-01 16:47:36 +00:00
69b5ae8838
dlr eo: this should fix it 2023-02-23 17:24:30 +00:00
9f1cee2927
dlr eo: cheese it by upsampling and then downsampling again 2023-02-23 16:47:00 +00:00
96b94ec55b
upsampling test 2023-02-23 16:19:44 +00:00
747ddfd41b
weird, XLA_FLAGS cuda data dir wasn't needed before
libdevice not found at ./libdevice.10.bc
2023-02-10 13:28:34 +00:00
e43274cd91
dlr eo: add VAL_STEPS_PER_EPOCH 2023-02-03 16:41:30 +00:00
8446a842d1
typo 2023-02-03 16:01:54 +00:00
1a8f10339a
LayerConvNeXtGamma: fix for mixed precision mode 2023-02-02 16:22:08 +00:00
a630db2c49
dlr eo: fixup 2023-02-02 16:17:52 +00:00
2bf1872aca
dlr eo: add JIT_COMPILE and MIXED_PRECISION 2023-02-02 16:14:09 +00:00
71088b8c0b
typo 2023-02-02 15:48:49 +00:00
f7666865a0
dlr eo: add STEPS_PER_EXECUTION 2023-02-02 15:47:08 +00:00
f8202851a1
dlr eo: add LEARNING_RATE 2023-01-27 16:51:13 +00:00
fb898ea72b
slurm eo: seriously....? 2023-01-26 17:02:33 +00:00
be946091b1
slurm eo: DIR_OUTPUT → DIRPATH_OUTPUT 2023-01-26 16:52:14 +00:00
c26a937cdd
Ignore Kate swap files 2023-01-20 20:33:32 +00:00
4703bdbea1
SLURM: add job file for encoderonly
It's pretty much bugfixed, but illykin doesn't have enough RAM to support it at the moment :-(
2023-01-20 20:32:35 +00:00
818d77c733
Make dirpath_rainfallwater consistent with other experiments 2023-01-20 20:31:26 +00:00
e72d3991b8
switch to a smaller ConvNeXt 2023-01-20 19:14:38 +00:00
e1ad16a213
debug A 2023-01-20 18:58:45 +00:00
65a2e16a4c
ds_eo: lower memory usage 2023-01-20 18:55:52 +00:00
b5e68fc1a3
eo: don't downsample ConvNeXt at beginning 2023-01-20 18:49:46 +00:00
d5fdab50ed
dlreo: missing import 2023-01-20 18:40:35 +00:00
4514086dc6
make_encoderonly: kwargs 2023-01-20 18:39:35 +00:00