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* Fix memory networkÉtienne Simon2015-07-241-0/+54
* Add --progres option for ProgressBarAlex Auvolat2015-07-241-1/+1
* RNN & Bidir RNN refactoring (& fixes, maybe)Alex Auvolat2015-07-242-12/+7
* Use new tvt dataset with option --tvtÉtienne Simon2015-07-2331-35/+0
* Memory network with bidirectionnal RNNAlex Auvolat2015-07-231-0/+56
* Add bidirectionalÉtienne Simon2015-07-212-0/+67
* Genericize RNNsÉtienne Simon2015-07-213-1/+87
* Add memory network config files (not sure how usefull they are)Alex Auvolat2015-07-142-0/+114
* Batch shufflingAlex Auvolat2015-07-101-2/+2
* Add batch shuffle preprocessing stepAlex Auvolat2015-07-061-0/+40
* Add small modelsAlex Auvolat2015-07-023-2/+79
* Remove _simpleÉtienne Simon2015-07-0218-17/+17
* Step rule & dropout params cleanupAlex Auvolat2015-07-021-2/+5
* Unify parameters for joint_simple_tgtcls_111_cswdtx_bigger{,_dropout}Alex Auvolat2015-07-023-9/+8
* Load model parameters only when specified in the configAdeB2015-06-241-0/+2
* New configs. training step rule out of train.pyAdeB2015-06-242-11/+57
* Update memory networkÉtienne Simon2015-06-221-2/+3
* Fix candidate_encoder dim_inputÉtienne Simon2015-06-211-1/+1
* Add bugged memory networksÉtienne Simon2015-06-211-0/+43
* Model with only embeddings.AdeB2015-06-211-0/+31
* Add basic RNNÉtienne Simon2015-06-111-0/+33
* Remove useless n_valid in configs.Étienne Simon2015-05-2717-34/+0
* Add parametrizability for how the training data is presentedAlex Auvolat2015-05-2217-1/+21
* Fix embeddings sizes.Étienne Simon2015-05-228-16/+16
* Remove useless n_end_pts from configs.Étienne Simon2015-05-2117-17/+0
* Fix new models.Alex Auvolat2015-05-213-9/+12
* Merge branch 'alex' into newAlex Auvolat2015-05-213-0/+170
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| * Model changesAlex Auvolat2015-05-213-0/+170
* | Use os.path.join and close filesÉtienne Simon2015-05-188-8/+16
* | Refactor models, clean the code and separate training from testing.Étienne Simon2015-05-1814-21/+83
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* Add model with hidden layers specific to time/dest prediction.Alex Auvolat2015-05-081-0/+55
* Add scaling factor between two costs in joint modelAlex Auvolat2015-05-081-0/+3
* Add model for a network that predicts both time and destination.Alex Auvolat2015-05-081-0/+52
* Fusion AddFirstK and AddLastK transformers, and add 'input_time' field.Alex Auvolat2015-05-081-2/+0
* Add target class based model for time prediction (seems to work)Alex Auvolat2015-05-071-0/+41
* Move weights init to config files ; fix s/time/travel_timeAlex Auvolat2015-05-0610-1/+69
* Adapt Alexandre's model to the new interfaceÉtienne Simon2015-05-051-3/+5
* Merge branch 'master' of github.com:adbrebs/taxiAdeB2015-05-057-16/+30
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| * Clean data module and generalize use of hdf5.Étienne Simon2015-05-057-16/+30
* | New hyperparameters. Training error is monitored.AdeB2015-05-051-0/+30
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* Add models for time predictioAdd models for time predictionAlex Auvolat2015-05-059-7/+52
* Add day type and taxi idAlex Auvolat2015-05-053-2/+58
* Add date/time transformer and new model that uses itAlex Auvolat2015-05-055-16/+28
* Refactor architecture so that embedding sizes can be easily changed.Alex Auvolat2015-05-054-6/+42
* New config (added a hidden layer), small changes to train.pyAlex Auvolat2015-05-051-0/+25
* Fix itAlex Auvolat2015-05-041-1/+1
* Add model with predefined target classesAlex Auvolat2015-05-041-0/+25
* Restructure model & configAlex Auvolat2015-05-041-0/+2
* Mew data analysis tool: clustering of arrival points.Alex Auvolat2015-05-041-2/+2
* FixesAlex Auvolat2015-05-041-1/+1
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