该项目的目标是获得不同流媒体技术的专业知识。其中包括卡夫卡溪流、弗林克和斯帕克街...，
The goal of the this project is to acquire expertise in different streaming technologies. These include Kafka Streams, Flink and Spark Structured Streaming/ (2023-09-10, Scala, 0KB, 下载0次)
使用knn和朴素贝叶斯算法预测居民出行目的地,主要基于Scala和python语言编写,运行在spark分布式集群。
It uses knn and naive Bayesian algorithms to predict the travel destination of residents, which is mainly written in Scala and python, and runs in the Spark distributed cluster. (2022-06-21, Scala, 127867KB, 下载0次)
cloud-computing,云计算大作业,学习大数据相关组件使用,学习Spark基本组件的使用,包括Spark Streaming流数据计算,Spark GraphX图数据计算,Spark MLlib机器学习(ALS推荐,朴素贝叶斯情感分析,KMeans聚类分析)
Cloud computing, cloud computing homework, learning the use of big data related components, learning the use of Spark basic components, including Spark Streaming stream data calculation, Spark GraphX graph data calculation, Spark MLlib machine learning (ALS recommendation, naive Bayesian sentiment analysis, KMeans clustering analysis) (2022-07-15, Scala, 36576KB, 下载0次)
Scala 3中的N维多维数组（张量）。考虑NumPy ndarray PyTorch张量，但在形状、数组轴标签和数字数据类型上键入安全
N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy
ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels &
numeric data types
, (2022-12-22, Scala, 31KB, 下载0次)