GitHub

Scikit-learn integration package for Apache Spark

This package contains some tools to integrate the Spark computing framework with the popular scikit-learn machine library. Among other things, it can: It focuses on problems that have a small amount ...
GitHub

ReHLine-Python: Efficient Solver for ERM with PLQ Loss and Linear Constraints

ReHLine-Python is the official Python implementation of ReHLine, a powerful solver for large-scale empirical risk minimization (ERM) problems with convex piecewise linear-quadratic (PLQ) loss ...
C&EN

PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Frontiers

Analysis of EPID Transmission Fluence Maps Using Machine Learning Models and CNN for Identifying Position Errors in the Treatment of GO Patients

where V x and V y are the pixel values at a given spatial location on the baseline fluence map and fluence map with position errors, respectively. SSIM is an indicator used to measure the similarity ...
Frontiers

A New Method for CTC Images Recognition Based on Machine Learning

Circulating tumor cells (CTCs) derived from primary tumors and/or metastatic tumors are markers for tumor prognosis, and can also be used to monitor therapeutic efficacy and tumor recurrence.