- Jun 21, 2018
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Jurica Seva authored
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- Jun 20, 2018
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Jurica Seva authored
Traceback (most recent call last): File "seq2seq_attention.py", line 163, in <module> outputs=[decoder_out] + decoder_states ) File "/home/sevajuri/anaconda3/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "/home/sevajuri/anaconda3/lib/python3.6/site-packages/keras/engine/topology.py", line 1811, in __init__ str(layers_with_complete_input)) RuntimeError: Graph disconnected: cannot obtain value for tensor Tensor("input_1_1:0", shape=(?, 27), dtype=float32) at layer "input_1". The following previous layers were accessed without issue: ['input_2']
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- May 10, 2018
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Jurica Seva authored
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- May 09, 2018
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Jurica Seva authored
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- May 08, 2018
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Mario Sänger authored
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- May 07, 2018
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Jurica Seva authored
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- May 05, 2018
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Jurica Seva authored
Started working on a pipeline using all data. Issues with memory (RAM) while generating one-hot label encodings. Solutions: use data generators to train via fit_generator. Examples: https://github.com/keras-team/keras/issues/1627 https://www.kaggle.com/ezietsman/simple-keras-model-with-data-generator https://stanford.edu/~shervine/blog/keras-how-to-generate-data-on-the-fly.html
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Jurica Seva authored
Final model with balanced s2s training data and ICD10 without additional data points from CC/CB combination.
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- May 04, 2018
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Jurica Seva authored
Added ICD 10 classification with attention (best results), attention with context (worst results) and char level classification (running atm).
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- May 03, 2018
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Jurica Seva authored
Added ICD 10 classification with attention (best results), attention with context (worst results) and char level classification (running atm).
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Jurica Seva authored
Added ICD 10 classification with attention (best results), attention with context (worst results) and char level classification (running atm).
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- Apr 28, 2018
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Jurica Seva authored
# Conflicts: # code/data/train/FR/training/aligned/PavillonLaurent.pdf # code/data/train/FR/training/aligned/README.txt # code/data/train/FR/training/aligned/corpus/AlignedCauses_2006-2012full.csv # code/data/train/FR/training/aligned/corpus/AlignedCauses_2013.csv # code/data/train/FR/training/aligned/corpus/AlignedCauses_2013full.csv # code/data/train/FR/training/aligned/corpus/AlignedCauses_2014.csv # code/data/train/FR/training/aligned/corpus/AlignedCauses_2014_full.csv # code/data/train/FR/training/aligned/dictionaries/Dictionnaire2006-2010.csv # code/data/train/FR/training/aligned/dictionaries/Dictionnaire2011.csv # code/data/train/FR/training/aligned/dictionaries/Dictionnaire2012.csv # code/data/train/FR/training/aligned/dictionaries/Dictionnaire2013.csv # code/data/train/FR/training/aligned/dictionaries/Dictionnaire2014.csv # code/data/train/FR/training/aligned/dictionaries/Dictionnaire2015.csv # code/data/train/FR/training/aligned/eval/clefehealth2017Ta...
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- Apr 27, 2018
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Jurica Seva authored
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