CHANGES
=======

0.2.14
------

* Release 0.2.14
* fix job-dir arg
* Release v0.2.13
* make model\_package and model\_package\_path non optional parameters
* fix examples imports
* fix tests
* add model\_package\_path to luigi
* add luigi param description
* tensorflow task doesn't force requires override
* Revert "Define a bit of public API"
* Fixup circleci setup
* Add examples - tf and sklearn

0.2.12
------

* Release v0.2.12
* Upgrade TF to 1.7.0
* Upgrade TF to 1.6.0

0.2.11
------

* Release v0.2.11
* Add get\_context
* Define a bit of public API
* Remove obsolete print
* Clean up dummy readme

0.2.10
------

* Release v0.2.10

0.2.9
-----

* Release v0.2.9
* vstack instead of hstack
* Fix #23. Upgrade to tf 1.5.0
* Mailmap for rich
* Dictionary endpoint for spotify-tensorflow
* Read Featran Settings file and also return feature names
* Method to freeze a TF graph (#26)
* Apply fix from spotify/spotify-tensorflow/pull/11
* Release v0.2.9
* fix order problem
* add code to generate tf test resources

0.2.8
-----

* Release v0.2.8
* Remove author - this is auto generated anyway
* add test for trainer.py
* fix trainer bugs
* rm as\_np helper argument
* add Pandas DataFrame endpoint
* changes based on review
* add integration test
* support TFRecordSpec
* change based on comments
* rm outdated example
* cleanup dataset class
* use namedtuple
* use pep8 order for imports
* refactor dataset iterator logic
* add records prefetching
* minor flags refactoring
* Add unit tests for tensorflow task. (#10)

0.2.7
-----

* Release v0.2.7
* add sharding for distributed execution (#9)
* Update flags.py

0.2.6
-----

* Release v0.2.6
* Fix job name of cloud mode
* Refactor tensorflow\_task

0.2.5
-----

* Release v0.2.5
* Bring back the side effect of making a job name

0.2.4
-----

* Release v0.2.4
* Bring back default RunConfig helper (this time in Trainer)
* Refactor Experiment handling
* Add doc for Experiment
* Refactor get\_featran\_example\_dataset, make it more readable
* Fix import order in bq
* Move from namedtuple to proper class, add doc
* Parametrize feature mapping function, add more docs
* Fix pythondoc, add more info, use google style
* Fix import of ExternalDailySnapshot
* Refactor Experiment - parametrize, simplify and document
* Simplify and parametrize RunConfig in Trainer
* Refactor flags
* Refactor trainer API
* Fix experiment - use combined dataset API
* Remove obsolete featran helpers
* Enforce import order - follow google style
* Configure sdist in more sensible way

0.2.3
-----

* Release v0.2.3
* It's TensorFlow not Tensorflow
* Some small typos/style fixes
* Exclude vevn used in circleci testing
* Accept only utf-8 coding
* Fix and enforce coding
* Configure flake8 excludes
* Fix py2,3 compatibility
* Remove obsolete comment - already fixed
* Fix and enforce pystyle
* fix flags parsing
* add take\_count arg to dataset
* add luigi utils to lib
* more reasonable default value for buffer\_size

0.2.2
-----

* Release v.0.2.2
* relative imports for python3
* relative import for both python2/3
* change floats to int and set compression type
* change test to match Datasets return
* update to latest from working example

0.2.1
-----

* Release v0.2.1
* Add tensorflow dep to tests
* Move TF dependency to extras

0.2.0
-----

* Release v0.2.0
* Update to TF 1.4.0
* Fix py3 style
* Fix style
* Get rid of gen\_spec, add feature names to the context
* Upgrade to tf 1.4.0rc1
* Use seperate cache file for py2
* Just test really
* Use virtualenv
* Use virtualenv for py2
* Add workflow
* Add python2 circleci test
* Add badge for codecov
* Forgot to active the venv for the codecov
* Use same style as circleci
* Add codecov
* Update readme
* Add circleci config

0.1.1
-----

* Publish also for python 2
* Add example of use of featran dataset
* Return actual number of features
* Add compression to example dataset

0.1.0
-----

* Update ignore files
* Requires >= on TF
* Update ignore files
* Remove obsolete readme parts
* Remove spotify build files
* Add license and notice
* Add some setup cfg config
* Fix style
* Fix style add nose dep
* Ignore swp files
* Add test for featran dataset
* Empty list instead of None
* Use TF 1.3.0
* Fix style
* Add test requirements
* Remove default value for features
* Expose parsing function generator
* Add requirements.txt
* Fix indentation, from 2 to 4
* Use file\_io
* Dataset Example reader helper
* Init commit
