Distributed Naive-Bayes
    sketched out algorithm as instantiated on Apache Spark
Distributed Linear Model
    sketched out algorithm as instantiated on Apache Spark
extended NB trainer to support bernoulli, gaussian, and multinomial emission probability distributions
extended Linear Classifier trainer to leverage the numerical parser
renamed linear model to linear classifier to aptly represent the type of models being parallelized
added parallel training of linear regressors
bugfix: linear classifiers now using correct model type in main method
renamed deprecated map partitions method
Distributed Reservoir Sampling
    sketched out algorithm as instantiated on Apache Spark
Adjusted Layout Of License Notice
Uniform Distribution Based Reservoir Sampling Per Partition
wip - heap data structures
made uniform random sample in map phase slightly more efficient
generalized comparable pair data structure
completed reservoir sampling using heap method with random keys
bugfix: uniform reservoir sampling with heap now only returns values instead of comparable pairs
renamed deprecated methods and removed dependency on copy module
deleted unpromising reservoir.py and replaced with working reservoir sampling
Distributed Text Vectorizer
    preliminary pass at logic for getting global vocabulary and accumulating sparse vectorization of corpus
Implemented Distributed IDF Computation