semvec/pypi-packages huggingface dataset:
dsbox-corex 1.2.0
Return components/latent factors that explain the most multivariate mutual information in the data under Linear Gaussian model. For comparison, PCA returns components explaining the most variance in the data.
License: Apache-2.0
Keywords: d3m_primitive

Corex featurization and modeling primitives for D3M envrionments

Featurization:
(featurization with information regularization for continuous data (linear Gaussian model) and text (similar to LDA))
Corex continuous
Corex text

Regression:
(echo provides mutual information regularization: linear regression and neural network modeling primitives provided)
EchoLinear 
EchoRegression
EchoClassification