Koralp's flows

Data -> Explainer -> Shapley -> Reduced-Shapley -> Cluster -> Ensemble -> Prediction

Dimensionality Reduction Model

Principal component analysis (PCA) Linear dimensionality reduction using Singular Value Decomposition of the data to project it to a lower dimensional space. It uses the LAPACK implementation of the…

Data -> Explainer -> Shapley -> Cluster -> Ensemble -> Prediction

Data -> Cluster -> Ensemble -> Prediction

Data -> Explainer_model -> Prediction

Clustering Models

Classifier implementing the k-nearest neighbors vote.

K-Means clustering

Ensemble Model

Explainer Model

Pre-process Block

Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…

Thesis work v0.1