Open source machine learning library with various machine learning tools
Weight of Evidence Encoding & Information Value
[ECAI' 25]: MOCA-HESP: Meta High-dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-ellipsoid Partitioning
A novel deep learning architecture for tabular data that treats categorical features in a discrete quantized space, inspired by Vector Quantization from VQ-VAE.
Encode Categorical Features based on Target/Class
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