Frontiers

Machine learning models diagnose oral squamous cell carcinoma based on cross-cohort oral microbial signatures

The saliva microbiome of oral squamous cell carcinoma (OSCC) patients has been gradually unveiled, but there is a lack of cross-cohort studies, and there is no non-invasive diagnostic model across ...
GitHub

Failed running demo/guide-python/external_memory.py built from main

Hi, I'm trying to use ExtMemQuantileDMatrix for training huge dateset on gpus. For example, training 1Tb raw fp32 dataset on 4/8xRTX 4090 (24G) + 2/4Tb memory (which is sufficent for the same dataset ...
marktechpost

An Intelligent Conversational Machine Learning Pipeline Integrating LangChain Agents and XGBoost for Automated Data Science Workflows

In this tutorial, we combine the analytical power of XGBoost with the conversational intelligence of LangChain. We build an end-to-end pipeline that can generate synthetic datasets, train an XGBoost ...
GitHub

some problems for test_ray_air.py

my environment is: python==3.10.1 ray [all]==2.4.0 pydantic==1.10.1 xgboost-ray catkin-tools==0.9.4 catkin-pkg==0.3.0 matplotlib==3.9.4 pyparsing==2.3.1 tqdm numpy==1.25.1 ...
IEEE

Artificial Intelligence for Mangrove Mapping and Monitoring Using Remote Sensing Imagery and Extreme Gradient Boosting (XGBoost) Algorithm with Python

Abstract: Mangroves are one of the important blue carbon ecosystems that provide numerous benefits for humans and the surrounding environment. The mapping and monitoring of mangrove forests are ...