tests

Personal collection of examples and tests of libraries and how to use them. Dummy code dump folder.

Tests included:

• Chainer: a neural network library developed in Tokyo University.
  Documentation is in english but the community that uses is it Japanese.
• Tensorflow: a neural network library developed by Google.
  It is very verbose so I have a working example just in case I get errors in another project.
• Tflearn: a less verbose high level abstraction wrapper for Tensorflow.
• SVM K-folds: scikit-learn: I use scikit-learn to write my own K-folds method that returns F1, Accuracy, Precision and Recall.
  Included methods usually only return Accuracy or F1.
• LDA: gensim: I use gensim to do an LDA model based on probability distribution analysis, with the objective of topic clustering.
• Stanford NLP POS Tagger: Chinese part-of-speech tagging. I use my own library and test it out here.
• MeCab: A Japanese language parser, POS tagger and tokenizer.