Non-parametric feature based Bayesian algorithms
v0.0.4 -Faster multinomial sampling is added (testing is required)
-Source code organization is updated
-Makefiles are added and updated
v0.0.3 -Christodoulopoulos et al. (2012) is implemented with basic functionality
-Calculates log and normal probabilities
-Random initialization is available
-[POSSIBLE BUG]:Numerical stability due to multiplication of too many small probabilities.
v0.0.2 -Tok k feature values threshold is added
-learn.cpp and type.cpp are added
-Format the data to start learning
v0.0.1 -Read gzip, stdin and regular text files
-Creates a hash entry for every input token
-Converts the token data to id-data using hash corresponding values
------FUTURE WORK------ -Memory/CPU time logs might be helpful
-Test modem on artificial data
-Implement Likelihood function
-Implement the cool-down and hyper parameter updates
-Implement the score functions