* Only numeric and categorical ARFF attributes are currently supported.
* Only the dense version of the ARFF format is supported.
* Compressed format is .tar.gz file which should allow extensibility.
* Attributes stored using JSON representations.
* Also offers smarter estimation of the precision of numeric Attributes.
* Also adds support for writing instances to CSV
This patch
* Adds a one-vs-all meta classifier into meta/
* Adds a LinearSVC (essentially the same as LogisticRegression
but with different libsvm parameters) to linear_models/
* Adds a MultiLinearSVC into ensemble/ for predicting
CategoricalAttribute classes with the LinearSVC
* Adds a new example dataset based on classifying article headlines.
The example dataset is drawn from WikiNews, and consists of an average,
min and max Word2Vec representation of article headlines from three
categories. The Word2Vec model was computed offline using gensim.
