Beautify the PyTensorCoFi stage 1
Beautify the PyTensorCoFi stage 2
[FIX] TensorCoFi through file
[CHANGE] Interface from interface model to model package with name IModel.
[CHANGE] PEP-8 methods name in interface
[CHANGE] Arrange TensorCoFi attributes name
[CHANGE] Model interface now has the fit map the pandas DataFrame user Series and item Series. Than calls the train method. The train method should be the one to implement assuming the input is a numpy array with column one to users, column two to item and column three to rating
Finish testfm.models.tensorcofi transformation. No more pyjnius
[SMALL] Small change on readme
[SMALL] Prepare tensorCoFi test to fix. The still assert false. Talk with Linas
[FIX] Tests for tensorCoFi
[SMALL] Changes toward PEP-8
[SMALL] Changes toward PEP-8
[CHANGE] CInterface IMatrixFactorization with the nogil for get score
[CHANGE] MAPMeasure  to c with no gil
[FIX] IModel recover multiple contexts
[FIX] c get_score fixed to multiple contexts. Still to test
[FIX] Python implementation of TensorCoFi support for multiple contexts (Not the Java one)
[FIX] Java implementation of TensorCoFi support for multiple contexts. Need testing
[FEATURE] Python built-in FloatMatrix with the basic operations using blas library
[FIX] FloatMatrix transpose operations