Commit Graph

123 Commits

Author SHA1 Message Date
f382d06eb5 add initial version of sluice network with alphas, betas, and soft share 2017-11-27 16:17:19 +01:00
349bc92a61 reorder curve storing 2017-11-13 14:37:41 +01:00
d58dbcb101 refactor class weights 2017-11-10 14:31:32 +01:00
461d4cab8f add deeper domain cnn; refactor hyperband using load_data function 2017-11-10 12:52:18 +01:00
3ce385eca6 update plotting function according the test and beta results 2017-11-10 12:34:21 +01:00
c19d649bc4 add some print lines for better following the process structure 2017-11-10 11:38:57 +01:00
27f4d086eb add matplotlib agg mode; update beta vis function according to test results 2017-11-10 11:04:27 +01:00
4fc2f0c925 extract weighting function 2017-11-10 10:18:13 +01:00
9ce11e4db4 refactor test function according to the new training procedure 2017-11-09 13:12:50 +01:00
9b8ca8abab add parameter for hyper band iteration, use hyperband results in new runs 2017-11-08 11:09:56 +01:00
903e81c931 remove identical parameter from data loading function; add runs argument 2017-11-07 20:47:41 +01:00
826357a41f refactor network models; remove depths 2017-11-07 20:32:08 +01:00
e12bbda8c5 move model creation back into models package 2017-11-07 20:09:20 +01:00
b1f48c1895 add soft parameter sharing network 2017-11-06 21:51:49 +01:00
7b8dfcebbe add long final implementation 2017-11-05 22:52:50 +01:00
14fef66a55 train multiple models at once 2017-11-04 17:58:21 +01:00
88e3eda595 refactor hyperband; fix domain generation
integrate hyperband option in training procedure - start refactoring - remove the index erro in generation and add helper functions
2017-11-04 12:47:08 +01:00
8b17bd0701 add TSNE embedding; server evaluation visualization 2017-10-19 17:39:37 +02:00
a860f0da34 refactor server training into separate file; add additional info to hyperband log 2017-10-19 17:37:29 +02:00
d1da3d6ca3 fix model selection 2017-10-09 15:10:15 +02:00
a686f147f0 add bulk embedding visualization and deep1 network 2017-10-09 14:19:01 +02:00
33063f3081 add sample weight metrics to fit function 2017-10-08 22:09:09 +02:00
e8473048cb refactor visualization; start plotting server results 2017-10-08 11:52:10 +02:00
0b26c6125c fix flat 2 model bug caused by changing input layer 2017-10-06 16:36:58 +02:00
5741f8ee0e fix staggered training 2017-10-06 10:38:00 +02:00
508667d1d0 add server classification model 2017-10-05 15:26:53 +02:00
345afbaef5 add error bar vis, comment unused parameters from parser 2017-10-05 14:50:59 +02:00
b24fa770f9 change hyperband to count minimal val_loss over all losses 2017-10-05 12:55:46 +02:00
371a1dad05 add hyperband savefile config, minor change of parameter name 2017-10-03 18:58:54 +02:00
68254d6629 add load function for hyper band results 2017-10-02 07:34:04 +02:00
f02e0b7f99 fix hyperband wrong variable names 2017-09-29 23:34:39 +02:00
a1e553f8f1 fix rerun wrong path 2017-09-29 23:03:07 +02:00
605447440f refactor hyperband implementation 2017-09-29 22:59:57 +02:00
090c89a127 add retrain mode 2017-09-28 12:23:22 +02:00
b157ca6a19 add first version of model averaging visualization 2017-09-26 19:25:37 +02:00
49ad506a96 remove file name in run script 2017-09-22 10:03:01 +02:00
607d74998c add tsne (does not work with big data)
fix model loading with custom selu function
2017-09-22 10:01:12 +02:00
e2bf2dc90f fix missing parameters, add flat network structure, make larger graphics 2017-09-20 14:43:28 +02:00
fbe6d6a584 remove input shape of first conv layer in networks because unnecessary
add selu activation to deeper network designs
2017-09-17 17:26:09 +02:00
6a47b5f245 add sample weights function to utils for later usage 2017-09-17 10:23:23 +02:00
f2845e635e fix validation split removal by loading h5data into memory 2017-09-17 09:56:18 +02:00
ec5a1101be remove model selection based on validation loss 2017-09-16 15:25:34 +02:00
b0e0cd904e add start parameter for run script 2017-09-15 11:12:42 +02:00
7f49021a63 refactor training - separate staggered training; make differences as small as possible 2017-09-12 08:36:23 +02:00
6ce8fb464f remove reguliarizer on dense too 2017-09-11 16:48:49 +02:00
3a44efa775 minor changes for pauls test 2017-09-11 12:59:13 +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
6fef2b8b84 refactor all visualization for pauls changes - evaluate on max windows per users 2017-09-08 22:59:55 +02:00