GitHub

XlaRuntimeError: INTERNAL: Failed to capture gpu graph: an unsupported value or parameter was passed to the function

251 if isinstance(metric_value, dict): File ~/miniconda3/envs/bioinfo/lib/python3.12/site-packages/scib_metrics/benchmark/_core.py:93, in MetricAnnDataAPI.(ad, fn) 91 ...
Hosted on MSN

Python Physics; Building a Linear Regression Function in VPython

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Scientific Research Publishing

Prediction Model for Minimum Subsistence Allowance Standard Based on Principal Component Analysis-Based Multiple Linear Regression (PMLR) ()

Amid the wave of the digital age, advanced technologies such as big data, artificial intelligence, and cloud computing are driving precise analysis and forecasting across various fields. This paper ...
Scientific Research Publishing

Davino, C., Romano, R. and Vistocco, D. (2022) Handling Multicollinearity in Quantile Regression through the Use of Principal Component Regression. Metron, 80, 153-174.

ABSTRACT: The study examined the effectiveness of financial linkages on SMEs’ access to debt finance. The study was motivated by the importance of SMEs in economic development and employment creation ...
IEEE

Application of Logistic Regression and Principal Component Analysis in TCM diagnosis and treatment

Abstract: Stata and python were used to analyze and clean the data of TCM diagnosis thyroid medical records. Principal component analysis and factor analysis were used to analyze and clean the ...
eLife

RETRACTED: Biases of Principal Component Analysis (PCA) in Physical Anthropology Studies Require a Reevaluation of Evolutionary Insights

The authors present a critique of current usage of principal component analysis in geometric morphometrics, making a compelling case with benchmark data that standard techniques perform poorly. The ...
GitHub

Performance regression for loops in 3.12 vs 3.11

I believe I've found a performance regression for large loops in Python 3.12 vs. 3.11. This effect is more pronounced when the value being stored is non-constant ...