1.5: Merge pull request #37 from Kensuke-Mitsuzawa/bug/#35

fixed these issues,

#35
#34

and following changes

• able to install for python3.7
• added docker compose for dev & test
• deleted code for rest api

A minor bug is fixed

The following bug case is fixed. When your input feature type is word, ScoredResultObject. convert_score_matrix2score_record () sends you a feature is str of list ([str]).

Now, ScoredResultObject. convert_score_matrix2score_record () shows you a feature str when input feaure type is word.

1.4

Fixed following issues in the version.
#32
#29

Web application is available

• Now the package can be independent as web-appliaction.
• The web application is easy to build with docker

Cython is available on BNS

• Cython computaion is available on BNS also
• It cleans up dirty dependencies between modules

Less consume of memory during processing huge object

Merge pull request #21 from Kensuke-Mitsuzawa/devel

Devel

Available data-source with low-memory

• As data input, you can put dict-object with persistent architecture
• As a result, you can run this package even though your data size is huge.

1.3.1: Merge pull request #16 from Kensuke-Mitsuzawa/14_sk

Resolved a bug when it installs packages with setup.py.

1.3

• Resolved bottleneck poins in pre-processing
  • Introduced dict-vectorising in ScikitLearn
  • Introduced Cython in calculating PMI & SOA. You can call them with use_cython=True flag. See examples/example_python3.py

1.2: Merge pull request #10 from Kensuke-Mitsuzawa/9_tfidf_score

9 tfidf score