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8b17bd0701
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add TSNE embedding; server evaluation visualization
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2017-10-19 17:39:37 +02:00 |
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345afbaef5
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add error bar vis, comment unused parameters from parser
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2017-10-05 14:50:59 +02:00 |
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b24fa770f9
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change hyperband to count minimal val_loss over all losses
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2017-10-05 12:55:46 +02:00 |
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090c89a127
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add retrain mode
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2017-09-28 12:23:22 +02:00 |
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b157ca6a19
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add first version of model averaging visualization
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2017-09-26 19:25:37 +02:00 |
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607d74998c
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add tsne (does not work with big data)
fix model loading with custom selu function
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2017-09-22 10:01:12 +02:00 |
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e2bf2dc90f
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fix missing parameters, add flat network structure, make larger graphics
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2017-09-20 14:43:28 +02:00 |
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ec5a1101be
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remove model selection based on validation loss
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2017-09-16 15:25:34 +02:00 |
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6d8d7b19f3
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fix covariance normalization; add run_model script for multi times training
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2017-09-11 12:42:44 +02:00 |
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6121eac448
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remove regularizer for conv and domain
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2017-09-10 23:40:14 +02:00 |
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1cf62423e1
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add regularization to small networks, fix model name in args, fix visualizations
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2017-09-10 18:06:40 +02:00 |
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ed4f478bad
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add parser argument for naming in multi model modes, minor fixes,
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2017-09-05 12:40:37 +02:00 |
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3f6779fa3d
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load names with data for per-user evaluation
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2017-09-02 16:02:48 +02:00 |
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dc9180da10
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refactor visualization, change arguments for model type and its depth
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2017-09-01 10:42:26 +02:00 |
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5a02f582cd
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change model - add dense before server output in new model
add some new run scripts
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2017-08-05 09:33:07 +02:00 |
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6e7dc1297c
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fix lazy domain loading and generation process
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2017-08-03 12:27:17 +02:00 |
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8cd1023165
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replace pca reduction by sklearn's truncated svd
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2017-07-29 19:41:14 +02:00 |
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2593131e9e
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add embedding visualization and domain encoding generator
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2017-07-29 10:43:59 +02:00 |
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6b787792db
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add custom class weights based on sklearn balance
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2017-07-14 15:57:52 +02:00 |
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b35f23e518
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add visualization for training curves, pr, roc
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2017-07-14 14:58:17 +02:00 |
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