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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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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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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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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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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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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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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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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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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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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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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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41b38de1ab
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add feature: generate and use h5 data
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2017-07-09 23:58:08 +02:00 |
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fdc03c9922
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add h5py example
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2017-07-08 17:46:07 +02:00 |
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4a9f94a029
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add output for main_test
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2017-07-08 15:04:58 +02:00 |
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933f6bf1d7
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add feature to use both hits information from dataset
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2017-07-06 16:27:47 +02:00 |
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b2f5c56019
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refactor dataset generation
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2017-07-05 21:19:19 +02:00 |
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772b07847f
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WPI
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2017-07-05 19:16:03 +02:00 |
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a70d1cb03a
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fix: replace X_tr by its elements; choose selected samples for training data too
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2017-07-05 18:37:29 +02:00 |
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5743127b7f
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new dataset format: multi-lists -> two arrays
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2017-07-04 09:18:50 +02:00 |
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c972963a19
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network predicts 2 by 2 classes, refactored threshold to main
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2017-06-30 18:43:50 +02:00 |
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8334e9a84f
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removed ys from training data generation
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2017-06-30 17:42:18 +02:00 |
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d19036a611
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added pauls extensions for new predictions
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2017-06-30 17:19:04 +02:00 |
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7ae68cc30e
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WIP
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2017-06-30 10:42:21 +02:00 |
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bbd63fd1da
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separating logical sections into dataset, models and main.
continued initial refactoring
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2017-06-30 10:12:20 +02:00 |
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