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3a44efa775
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minor changes for pauls test
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2017-09-11 12:59:13 +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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6fef2b8b84
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refactor all visualization for pauls changes - evaluate on max windows per users
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2017-09-08 22:59:55 +02:00 |
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9a51b6ea34
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refactor test function working on full unfiltered data
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2017-09-08 19:10:23 +02:00 |
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edc75f4f44
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refactor dataset creation, split up functions
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2017-09-08 17:11:13 +02:00 |
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528829bb33
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fix file name in run script
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2017-09-08 13:57:18 +02:00 |
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70d00efb01
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refactor using joblib for test results, make h5py store/load more flexible
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2017-09-08 13:55:13 +02:00 |
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1ab0108c78
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add window to file names for visualization
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2017-09-07 17:38:21 +02:00 |
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595c2ea894
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change argument interface
- add more properties for network specification
- change names for consistency
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2017-09-07 15:53:58 +02:00 |
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71f218888d
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set server to be not trainable too; refactor visualization script
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2017-09-07 15:31:04 +02:00 |
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5bd8e41711
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add staggered model training for intermediate sever prediction; refactor model return values
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2017-09-07 14:24:55 +02:00 |
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2080444fb7
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add parser argument for naming in multi model modes, minor fixes, re-set fix vals for network - need to make them flexible
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2017-09-05 17:40:57 +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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1da31cc97c
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visualize per user stats
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2017-09-04 13:37:26 +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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0db8427457
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update test script with bash loop
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2017-09-02 12:58:48 +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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933eaae04a
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change exception type in get_flow_per_user function and replace index to new range index
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2017-08-31 13:49:33 +02:00 |
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dceaf47211
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fix typo
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2017-08-31 11:25:49 +02:00 |
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954dfcf9f9
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fix run scripts
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2017-08-05 09:40:40 +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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7f1d13658f
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store domain embeddings while test main
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2017-08-03 09:08:24 +02:00 |
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452f9e0456
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fix array() to zeros(0)
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2017-08-03 08:00:20 +02:00 |
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787f43b328
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fix test predictions depending on model output specification
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2017-08-03 07:51:58 +02:00 |
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8ac195ba6f
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add some static configs to run script
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2017-08-02 15:13:09 +02:00 |
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1e781d5491
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add argument for model outputs
BUG: need to check --new_model --model_output server
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2017-08-02 12:58:09 +02:00 |
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f4da147688
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refactor cmd argument to have single value for mode
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2017-07-30 15:49:37 +02:00 |
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e24f596f40
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add argument for using the new model architecture
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2017-07-30 14:07:39 +02:00 |
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ebaeb6b96e
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move vocab_size into implementation (not user dependent)
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2017-07-30 13:47:11 +02:00 |
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d97785f646
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replace softmax by sigmoid in final layer, also adjust dataset for that
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2017-07-30 12:50:26 +02:00 |
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b0da2de0ea
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move utils functions to new file
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2017-07-29 19:47:02 +02:00 |
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820a5d1a4d
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add new network architecture - server label moves to the middle
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2017-07-29 19:42:36 +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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c1535b941b
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remove max pooling from models for better infromation flow
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2017-07-28 17:25:08 +02:00 |
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18b60e1754
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add extended test mode for embeddings
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2017-07-17 19:30:56 +02:00 |
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79fc441fe1
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wip
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2017-07-17 08:44:58 +02:00 |
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d33c9f44ec
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fix chunks per user function bug caused by numpy version of array_split
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2017-07-16 18:49:14 +02:00 |
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844494eca9
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add multi-threading for pre-processing
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2017-07-16 09:42:52 +02:00 |
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336be37032
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fix network props, add PCA to visualize main
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2017-07-14 21:01:08 +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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d0418b9efa
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fix hyperband adding h5data and remove param sample
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2017-07-12 15:18:45 +02:00 |
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2afaccc84b
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refactor argparser into separate file, add logger
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2017-07-12 10:25:55 +02:00 |
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9f0bae33d5
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refactor dataset generation, add callbacks
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2017-07-11 21:06:58 +02:00 |
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a196daa895
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add simple flow feature extraction function
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2017-07-11 13:46:25 +02:00 |
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522854ee0d
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add h5 support for pauls best config main
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2017-07-11 11:12:03 +02:00 |
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