- New Features
- Add Bandit service (#129, #131)
- Add support for clear_row method of Recommender (#136, #137)
- Improvements
- Add visualize example using TensorBoard (#131)
- Bug Fixes
- Fix schema not working with service specialized column definition (#134, #135)
- Fix Twitter Loader not working with latest tweepy (#138)
- New Features
- Add postgresql loader (#125)
- Add support for filtering API of Recommender (#126, #127)
- Bug Fixes
- Fix
classifier_kfold.py
example not working with sklearn 0.20 or later (#128)
- Fix
- New Features
- Add Burst service (#94, #124)
- New Features
- Add support for distance option of Clustering (#123)
- Documentation
- Translate documents into Japanese (#104, #105, #108, #110, #111, #113-122)
- New Features
- Add Nearest Neighbor service (#92, #103)
- Add support for add_bulk of Anomaly (#106)
- New Features
- Add Clustering service (#93, #98)
- Changes to Supported Systems
- Deprecate Python 2.6 support (#99, #100)
- New Features
- Add
--transform
option tojubamodel
command (#75, #83)
- Add
- Improvements
- Fix library version for Python 2.6 (#88, #91)
- New Features
- Add Regression service (#82, #87)
- Add
--replace-config
/--replace-version
options tojubamodel
command (#76, #77)
- Improvements
- Improve color of version number in docs (#80, #81)
- Bug Fixes
- Fix CSVLoader not working with
restkey
option in Python 2 (#78, #79)
- Fix CSVLoader not working with
- New Features
- Add scikit-learn wrapper (#73)
- Bug Fixes
- Fix dead links in documents (#74)
- New Features
- Support Embedded Jubatus (#70)
- Improvements
- Implement
__repr__
method to base classes (#42, #71) - Add
jubakit.model.JubaModel
example (#68) - Add
jubakit.model.JubaDump
example (#69, #71)
- Implement
- Bug Fixes
- Fix document typos (#67)
- New Features
- Add Recommender service (#52, #58)
- Add model file manipulation tools (#4, #62)
- Add
ConcatLoader
(#61)
- Improvements
- Support Jubatus 1.0 (#66)
- Improve Classifier Schema to accept columns without LABEL (#40, #57)
- Improve handlign of bool-typed values (#9, #63)
- Add option to apply Softmax to the resulting score in Classifier (#59)
- Implement feature to enable logging by environment variable (#39, #65)
- Improve RPC port allocation method (#44, #54)
- Improve jubakit to work with non-standard Homebrew installations on macOS (#32, #35)
- Update theme of docs (#60)
- Bug Fixes
- Fix non-static Datasets does not allow automatic Schema prediction (#41, #64)
- Fix error handling in
jubash
command (#55) - Fix error message when Jubatus servers are not installed on macOS (#56)
- New Features
- Add Shell feature and
jubash
command (#38, #45, #51)
- Add Shell feature and
- Improvements
- Add API reference and design documents (#33, #36, #43, #53)
- Add
from_data
method to Classifier service (#46)
- Bug Fixes
- Fix CSVLoader parameter handling (#34)
- Fix typo in error message format (#49, #50)
- Improvements
- Add hyper-parameter tuning example using hyperopt library (#28)
- Fix warnings when using
numpy
record (#29)
- Bug Fixes
- Fix log output from server not captured correctly (#30, #31)
- Improvements
- Add support for
cosine
andeuclidean
method of Classifier (#27) - Improve default configuration of
NN
method of Classifier to use multiple CPU cores (#26) - Improve Anomaly service to validate invalid method name (#25)
- Fix deprecated test warning in Python 3.5 (#24)
- Add support for
- New Features
- Add support for Anomaly engine (#20)
- Add support for Weight engine (#19)
- Improvements
- Add logging system (#12, #17)
- Add
get_status
API to Service (#15) - Add seed option to
shuffle
API to Dataset (#14) - Revise
Loader
API (#13) Config.add_mecab
API now accepts feature filters as list (#16)- Improve documentation (#11)
- Add tests (#21)
- Bug Fixes
- Fix missing records not ignored as expected (#22)
- Fix
get_label
of Classifier service raise unexpected error when the dataset is not static (#21) - Fix
LineBasedStreamLoader
not closing file when iteration is terminated (#10) - Fix
classifer_bulk.py
example not using config object (#18)
Initial release.