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b3d646c9e7
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add group lasso regularizer impl
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2017-11-30 09:34:45 +01:00 |
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f382d06eb5
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add initial version of sluice network with alphas, betas, and soft share
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2017-11-27 16:17:19 +01:00 |
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349bc92a61
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reorder curve storing
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2017-11-13 14:37:41 +01:00 |
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d58dbcb101
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refactor class weights
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2017-11-10 14:31:32 +01:00 |
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461d4cab8f
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add deeper domain cnn; refactor hyperband using load_data function
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2017-11-10 12:52:18 +01:00 |
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3ce385eca6
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update plotting function according the test and beta results
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2017-11-10 12:34:21 +01:00 |
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c19d649bc4
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add some print lines for better following the process structure
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2017-11-10 11:38:57 +01:00 |
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27f4d086eb
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add matplotlib agg mode; update beta vis function according to test results
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2017-11-10 11:04:27 +01:00 |
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4fc2f0c925
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extract weighting function
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2017-11-10 10:18:13 +01:00 |
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9ce11e4db4
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refactor test function according to the new training procedure
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2017-11-09 13:12:50 +01:00 |
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9b8ca8abab
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add parameter for hyper band iteration, use hyperband results in new runs
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2017-11-08 11:09:56 +01:00 |
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903e81c931
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remove identical parameter from data loading function; add runs argument
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2017-11-07 20:47:41 +01:00 |
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826357a41f
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refactor network models; remove depths
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2017-11-07 20:32:08 +01:00 |
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e12bbda8c5
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move model creation back into models package
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2017-11-07 20:09:20 +01:00 |
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b1f48c1895
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add soft parameter sharing network
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2017-11-06 21:51:49 +01:00 |
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7b8dfcebbe
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add long final implementation
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2017-11-05 22:52:50 +01:00 |
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14fef66a55
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train multiple models at once
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2017-11-04 17:58:21 +01:00 |
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88e3eda595
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refactor hyperband; fix domain generation
integrate hyperband option in training procedure - start refactoring - remove the index erro in generation and add helper functions
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2017-11-04 12:47:08 +01:00 |
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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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a860f0da34
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refactor server training into separate file; add additional info to hyperband log
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2017-10-19 17:37:29 +02:00 |
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d1da3d6ca3
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fix model selection
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2017-10-09 15:10:15 +02:00 |
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a686f147f0
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add bulk embedding visualization and deep1 network
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2017-10-09 14:19:01 +02:00 |
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33063f3081
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add sample weight metrics to fit function
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2017-10-08 22:09:09 +02:00 |
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e8473048cb
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refactor visualization; start plotting server results
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2017-10-08 11:52:10 +02:00 |
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0b26c6125c
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fix flat 2 model bug caused by changing input layer
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2017-10-06 16:36:58 +02:00 |
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5741f8ee0e
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fix staggered training
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2017-10-06 10:38:00 +02:00 |
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508667d1d0
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add server classification model
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2017-10-05 15:26:53 +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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371a1dad05
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add hyperband savefile config, minor change of parameter name
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2017-10-03 18:58:54 +02:00 |
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68254d6629
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add load function for hyper band results
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2017-10-02 07:34:04 +02:00 |
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f02e0b7f99
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fix hyperband wrong variable names
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2017-09-29 23:34:39 +02:00 |
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a1e553f8f1
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fix rerun wrong path
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2017-09-29 23:03:07 +02:00 |
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605447440f
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refactor hyperband implementation
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2017-09-29 22:59:57 +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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49ad506a96
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remove file name in run script
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2017-09-22 10:03:01 +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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fbe6d6a584
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remove input shape of first conv layer in networks because unnecessary
add selu activation to deeper network designs
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2017-09-17 17:26:09 +02:00 |
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6a47b5f245
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add sample weights function to utils for later usage
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2017-09-17 10:23:23 +02:00 |
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f2845e635e
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fix validation split removal by loading h5data into memory
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2017-09-17 09:56:18 +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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b0e0cd904e
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add start parameter for run script
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2017-09-15 11:12:42 +02:00 |
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7f49021a63
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refactor training - separate staggered training; make differences as small as possible
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2017-09-12 08:36:23 +02:00 |
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6ce8fb464f
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remove reguliarizer on dense too
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2017-09-11 16:48:49 +02:00 |
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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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