taxi

Winning entry to the Kaggle taxi competition
git clone https://esimon.eu/repos/taxi.git
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commit e7aba08e6b209ac7f091eb9f08b49a2c90b070ed
parent 1ee965e32c6678ca063d853d80d7bdeae0ab9734
Author: Étienne Simon <esimon@esimon.eu>
Date:   Thu, 23 Jul 2015 17:52:53 -0400

Lunch validation every 10000 batches (instead of 1000)

Diffstat:
Mtrain.py | 8++++----
1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/train.py b/train.py @@ -106,16 +106,16 @@ if __name__ == "__main__": dump_path = os.path.join('model_data', model_name) + '.pkl' logger.info('Dump path: %s' % dump_path) - extensions=[TrainingDataMonitoring(monitored, prefix='train', every_n_batches=1000), + extensions=[TrainingDataMonitoring(monitored, prefix='train', every_n_batches=10000), DataStreamMonitoring(valid_monitored, valid_stream, prefix='valid', - every_n_batches=1000), + every_n_batches=10000), Printing(every_n_batches=1000), FinishAfter(every_n_batches=10000000), SaveLoadParams(dump_path, cg, before_training=True, # before training -> load params - every_n_batches=1000, # every N batches -> save params + every_n_batches=10000, # every N batches -> save params after_epoch=True, # after epoch -> save params after_training=True, # after training -> save params ), @@ -123,7 +123,7 @@ if __name__ == "__main__": RunOnTest(model_name, model, stream, - every_n_batches=1000), + every_n_batches=10000), ] if use_plot: