rbig
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IPL-UV
Rotation-Based Iterative Gaussianization algorithm.
Hey, Is the code for estimating KL-Divergence working? Right now I see that the code is in comment mode. rbig._src.kld \ RBIGKLD
Hi Team, Thanks for addressing the issue of density estimation for multidimensional data. I have a few questions as I am trying to implement information theory metrics: * Q1.Is this...
There is something with the probability estimation that makes it take too long. I train a model of 3k features with 50k samples and try to compute the probability for...
First of all, thanks for the paper and code, it's very inspiring. Specifically, first of all, I tried to generate 100 classes of vectors (each class contains 300 samples). These...
Added a fastica rotation method. Based on the [scikit-learn](https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.FastICA.html) package. * Still need to figure out the orthogonalization.
In the notebooks, there is no consistency with which params are default and which are not. Need to ensure that they all are the same. Params so far: * `zero_tolerance=60`...
Right now the inverse is not perfect. It means that you dont get the same input, i.e. `x' = f^-1(f(x)) x'=!x.` For instance you can see it in this [notebook](https://github.com/IPL-UV/rbig/blob/master/notebooks/rbig_demo.ipynb)...
An attempt to slim down the IT estimates. In reference to #7 .
We can save a lot of memory by not saving the parameters when estimating information theory measures. * [ ] Total Correlation * [ ] Entropy