WebRobust/Robustness Knapsack; Adaptive Robust Lot-Sizing; Joint Production-Inventory; Robust Vehicle Pre-Allocation; RSOME for Distributionally Robust Optimization Models ; … WebMar 23, 2024 · Based on project statistics from the GitHub repository for the PyPI package pymatgen, we found that it has been starred 1,082 times. The download numbers shown are the average weekly downloads from the last 6 weeks. ... A Robust, Open-Source Python Library for Materials > Analysis. Computational Materials Science, 2013, 68, ...
bleepy-profanity-check - Python Package Health Analysis Snyk
WebBased on project statistics from the GitHub repository for the PyPI package bleepy-profanity-check, we found that it has been starred 1 times. ... A fast, robust Python library to check for profanity or offensive language in strings. Read more about how and why profanity-check was built in this blog post. WebPython Distilled Python Distilled [Amazon] Addison-Wesley Professional (2024) ISBN 0134173279; About This is a book based on my 25 years of coding, writing about, and teaching Python. It's also a book that reflects topics that I think are central to problem solving and thinking in the Python language. reflect aware
Robust Spline Regression with Scikit-Learn · GitHub - Gist
WebHypothesize is a robust statistics library for Python based on Rand R. Wilcox's R package WRS. With Hypothesize you can compare groups and measure associations using methods that outperform traditional statistical approaches in terms of power and accuracy. WebJun 13, 2024 · RSOME in Python: An Open-Source Package for Robust Stochastic Optimization Made Easy , Updated: 2024/04/14 Peng Xiong Zhi Chen We develop a Python package called RSOME for modeling a wide spectrum of robust and distributionally robust optimization problems. WebJul 24, 2024 · Robust Spline Regression with Scikit-Learn Raw robust_splines_sklearn.py #!/usr/bin/env python """ Robust B-Spline regression with scikit-learn """ import matplotlib.pyplot as plt import numpy as np import scipy.interpolate as si from sklearn.base import TransformerMixin from sklearn.pipeline import make_pipeline reflecta super 8 scanner software