Merge remote-tracking branch 'origin/master'

Author: Aunavin1

README.md

@@ -1,13 +1,12 @@
 # README 
 
-## Update 04-02-2019
+## Update 12-02-2019
 
-- Code development for NER evaluation (F1 scores for tag based, bio+tag based) still continues. I slowed down it a little bit due to personal life issues.
-- Decided to simplify README.md and use [Wiki](https://github.com/hbahadirsahin/nlp-experiments-in-pytorch/wiki) of this repository.
- - All entries related to the updates in January 2019 are moved to [related Wiki page](https://github.com/hbahadirsahin/nlp-experiments-in-pytorch/wiki/Previous-Updates-(January-2019)). 
- - I will save my experiment results in Wiki, too.
- - While trying to figure out how to use README and Wiki more efficiently, I will figure better things out hopefully =)
-- As you may noticed, TextCNN experiments are finished. I will continue with LSTM/GRU experiments (first, I have to figure out a good parameter set =)).
+- Since I separated classification and NER trainers/evaluators, I decided to create "scorer" folder to prevent bloating "utils.py" with metric calculation functions.
+ - "scorer/" will contain current and future metric calculation methods (not giving too much details, since you can always check it =)).
+- I encountered some bugs in NER training and evaluation processes due to save/load functionalities. Hopefully, I fully fixed them. but if anyone out there reading this and using this repository, if you find any bugs, just let me know.
+- Made some minor changes in namings and indexing (not much crucial stuff, details can be found in git commit message).
+- Personal life issues still continues, hence slow development-slow experiment mode still continues.
 
 # Table Of Contents
 
@@ -62,6 +61,8 @@ I try to keep every part of the project clean and easy to follow. Even though th
 - `./model/xyz.py` contains network objects.
 - `./model/Util_xyz.py` contains custom-defined objects that are used in `xyz`.
 - `./optimizer/custom_optimizer.py` contains custom-defined optimizer objects.
+- `./scorer/accuracy_scorer.py` contains classification accuracy metric calculations.
+- `./scorer/ner_scorer.py` contains NER-task related metric calculations.
 - `./training/trainer.py` is a class that returns the necessary trainer for the user's selected learning model
 - `./training/xyz_trainer.py` methods are the trainer functions for specified models.
 - `./utils/utils.py` contains both utility and common methods that are being used in several places in the project.
@@ -193,6 +194,15 @@ In this title, I will save the previous updates for me and the visitors to keep
 
 ## February 2019
 
+### 04-02-2019
+
+- Code development for NER evaluation (F1 scores for tag based, bio+tag based) still continues. I slowed down it a little bit due to personal life issues.
+- Decided to simplify README.md and use [Wiki](https://github.com/hbahadirsahin/nlp-experiments-in-pytorch/wiki) of this repository.
+ - All entries related to the updates in January 2019 are moved to [related Wiki page](https://github.com/hbahadirsahin/nlp-experiments-in-pytorch/wiki/Previous-Updates-(January-2019)). 
+ - I will save my experiment results in Wiki, too.
+ - While trying to figure out how to use README and Wiki more efficiently, I will figure better things out hopefully =)
+- As you may noticed, TextCNN experiments are finished. I will continue with LSTM/GRU experiments (first, I have to figure out a good parameter set =)).
+
 ## References for Code Development
 
 Below repositories really helped me to write a decent and working code: