v0.2.9 (2019-03-08)

• Updated tensorflow from 1.12.0 to 1.13.1.
• Updated numpy from 1.16.1 to 1.16.2.
• Miscellaneous error checking and spacing corrections.

v0.2.8 (2019-02-22)

A pretty light release this go-around...

• Updated pytest to 4.3.0 from 4.2.0.
• Cleaned up some code issues as pointed out by Codacy.
• Miscellaneous bugfixes to support running tests natively.

v0.2.7 (2019-02-09)

• Provided a way to run DeviceClassifier training and testing scripts from command line.
• Cleaned up some unused code and consolidated common operations into utils and model class.
• Fixed issue where Makefile built the OneLayer training container when building the test one.
• Updated redis to 3.1.0
• Updated numpy to 1.16.1

v0.2.6

• Updated numpy to 1.16.0
• Updated pika to 0.13.0
• Included a conda yml file for a standalone/dev environment, and new Makefile options to build it.

v0.2.5

• models have been retrained to fix a warning about invalid results when evaluating a pcap
• some unused code and module has been removed
• upgraded pytest to 4.1.0 and pytest-cov to 2.6.1

v0.2.4

• upgraded scikit-learn to 0.20.2
• removed scipy
• cleaned up requirements.txt and setup.py
• fixed issue where redis was throwing error when saving decisions
• fixed error in eval_onelayer that was using nonexistent key
• Make train/eval/test process consistent for all models
• Fixed path error specific to python 3.5 that occurred when processing PCAP files
• PCAP directories can now be used when running model evals

v0.2.3

• upgraded pytest to 4.0.2
• upgraded scikit-learn to 0.20.1
• improved README documentation
• upgraded redis to 3.0.1
• added pcap directory support
• re-enabled the behavior model
• includes the trained behavior model
• fixed hardcoded onelayer pickle file in randomforest
• fixed missing labels
• simplified rabbit connection
• replaced deprecated randomized logistic regression with random forest

v0.2.2

• upgraded pytest to 3.9.1
• fixed a NoneType error when multiplying
• fixed an issue where the config file wasn't being read properly
• abstracted away the code to read the config file into one place

v0.2.1

• lots of cleanup of duplicated code
• upgraded tensorflow to 1.11.0
• upgraded scikit-learn to 0.20.0
• updated the model

v0.2.0

moved a bunch of duplicated code into common utils