There are 6 repositories under spark-ml topic.
关注AI模型上线、模型部署
Geospatial Raster support for Spark DataFrames
Isolation Forest on Spark
:snowflake: :whale: Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc
Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
零售电商客户流失模型,基于tensorflow,xgboost4j-spark,spark-ml实现LR,FM,GBDT,RF,进行模型效果对比,离线/在线部署方式总结
Repository used for Spark Trainings
An umbrella project for multiple implementations of model serving
This repository contains Spark, MLlib, PySpark and Dataframes projects
Routines and data structures for using isarn-sketches idiomatically in Apache Spark
Movie review dataset Word2Vec & sentiment classification Zeppelin notebook
Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple DataFrames, visualization, Machine Learning
Spark Scala docker container sample for AWS testing - EKS & S3
Machine Learning Course @ Santa Clara University
Restaurant recommendations and review text-based quality predictions
Ensemble Learning for Apache Spark 🌲
PMML scoring library for Spark as SparkML Transformer
Spark DataFrames for earth observation data
:sparkles: Spark ML implementation of SOM algorithm (Kohonen self-organizing map)
Examples of all Machine Learning Algorithm in Apache Spark
Detailed notes and code to learn machine learning with Apache Spark.
Implement node2vec algorithm using Spark 2 from: http://snap.stanford.edu/node2vec/
Code samples, summaries, cheatsheets and other study material for Hadoop MapReduce and Apache Spark
This package contains the code for calculating external clustering validity indices in Spark. The package includes Chi Index among others.
Explanatory Data Analysis and ML model building using Apache Spark and PySpark
A Spark Streaming implementation for Online Twitter Sentiment Analysis.
Come ready to discover the goals and approaches of machine learning, and how to build effective algorithms and solutions!
Intellij template to develop Apache Spark 2.x applications