What are the different techniques for mitigating unfairness in machine learning?

scikit-learn ... scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming ... Feb 28, 2025 ... The Pipeline class in Sklearn is a utility that helps automate the process of transforming data and applying models. Often in machine learning ... Jun 26, 2020 ... Hi, I'm looking for some guidance on how to interpret the 'Confidence' column for taxonomic assignments obtained using classify-sklearn (if ... Mar 25, 2022 ... Sklearn PolynomialFeatures ~Feature Engineering · “degree” argument controls the number of features created and defaults to 2. · “ ... TensorFlow is more of a low-level library; basically, we can think of TensorFlow as the Lego bricks (similar to NumPy and SciPy) that we can use to implement ... Jan 27, 2020 ... Loadings ... and the elements of the eigenvector w 1 j , and are also known as loadings. PCA loadings are the coefficients of the linear ... Jan 25, 2019 ... The problem is that jupyter is based on a kernel that is not made out of the installations I have in my virtual environment. Scikit-learn is an open source data analysis library, and the gold standard for Machine Learning (ML) in the Python ecosystem. · For computers to learn without ... obj : sklearn predictor. A scikit-learn predictor, eg sklearn.ensemble.ExtraTreesClassifier. predictor_scoring_fun : function, optional. A function which ... Text Classification with scikit-learn . This example shows how you can create a Hugging Face Hub compatible repo for a text classification task using ...