|
|
ec5a1101be
|
remove model selection based on validation loss
|
2017-09-16 15:25:34 +02:00 |
|
|
|
6d8d7b19f3
|
fix covariance normalization; add run_model script for multi times training
|
2017-09-11 12:42:44 +02:00 |
|
|
|
6121eac448
|
remove regularizer for conv and domain
|
2017-09-10 23:40:14 +02:00 |
|
|
|
1cf62423e1
|
add regularization to small networks, fix model name in args, fix visualizations
|
2017-09-10 18:06:40 +02:00 |
|
|
|
ed4f478bad
|
add parser argument for naming in multi model modes, minor fixes,
|
2017-09-05 12:40:37 +02:00 |
|
|
|
3f6779fa3d
|
load names with data for per-user evaluation
|
2017-09-02 16:02:48 +02:00 |
|
|
|
dc9180da10
|
refactor visualization, change arguments for model type and its depth
|
2017-09-01 10:42:26 +02:00 |
|
|
|
5a02f582cd
|
change model - add dense before server output in new model
add some new run scripts
|
2017-08-05 09:33:07 +02:00 |
|
|
|
6e7dc1297c
|
fix lazy domain loading and generation process
|
2017-08-03 12:27:17 +02:00 |
|
|
|
8cd1023165
|
replace pca reduction by sklearn's truncated svd
|
2017-07-29 19:41:14 +02:00 |
|
|
|
2593131e9e
|
add embedding visualization and domain encoding generator
|
2017-07-29 10:43:59 +02:00 |
|
|
|
6b787792db
|
add custom class weights based on sklearn balance
|
2017-07-14 15:57:52 +02:00 |
|
|
|
b35f23e518
|
add visualization for training curves, pr, roc
|
2017-07-14 14:58:17 +02:00 |
|
