jiangnanhugo
diff --git a/Diff for: ‎theano/MultiLayerPerception.py renamed to ‎MultiLayerPerception.py b/Diff for: ‎theano/MultiLayerPerception.py renamed to ‎MultiLayerPerception.py
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diff --git a/Diff for: ‎theano/dense.py renamed to ‎dense.py b/Diff for: ‎theano/dense.py renamed to ‎dense.py
diff --git a/Diff for: ‎keras/kmlp.14.py renamed to ‎keras_backup/kmlp.14.py b/Diff for: ‎keras/kmlp.14.py renamed to ‎keras_backup/kmlp.14.py
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diff --git a/Diff for: ‎theano/main.py renamed to ‎main.py b/Diff for: ‎theano/main.py renamed to ‎main.py
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@@ -1,16 +1,5 @@
-# mlee-nce
-Biological Event Trigger Identification with Noise Contrastive Estimation. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2017.
+## generate the training, validation and testing set.
 
-1. keras
-
-   use keras to inplement the event trigger identification pipeline.
-
-2. theano
-
-   use theano to implement the event trigger identification pipeline, the training data is reconstruct by NCE algorithm. If the sample size is set to $k$, then the training batch size should be set to $k+1$, so that this training process is align to the algorithm in paper.
-
-3. word-embedding
-
-   perl script is used for download pubmed articles, along with XML extractor. Also you can use the `gensim.Word2Vec` for training the word-embedding features.
-
-   
+## convert the multi-label classification into binary classification
+## training every logistic classification model and output the testing results
+## summarize the predicted results for every categories and overall results.