Adds a semi-supervised (specifically a combination of supervised and weakly-supervised data) version of weak algorithms #268
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Closes #233
For now I only wrote what I believe to be expected for #233 for the RCA algorithm.
It is a simple modification of the supervised version of the RCA. The test is very basic as well.
It is just based on concatenating the weakly supervised information and the weakly supervised information of the transformed labeled data (strongly supervised information).
It is convenient but increases the volume of the code and documentation.
There is a
random_state
parameter passed to thefit
function in RCA, it is markedas deprecated and augments the volume of tests needed for the Semi Supervised algorithms.
I will check whether a
random_state
is present in other algorithms, to understand its relevance.I will do the other algorithms and better tests if we agree on this structure.