TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
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Updated
Sep 29, 2023 - Scala
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.
JPMML-SparkML plugin for converting LightGBM-Spark models to PMML
Free High-Quality Financial Data in Azure
Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.
A collection of “cookbook-style” scripts for simplifying data engineering and machine learning in Apache Spark.
A machine learning at scale demo on flight delay prediction. The project includes an exploration of a series of data transformation and ML pipelines in Apache Spark (via Databricks).
This repository is collection of ipython notebooks implementing various ML algorithms in Spark and SystemML
This repository shows how to create containerized versions of models trained with spark MLLib
Predicting the arrival delay time of commercial flights
Repo for using scala in a kaggle house price prediction.
This project involves using Pyspark to create a recommendation system on the Google Cloud Platform
Using SparkML to build different machine learning models for simulating a small scale of big data management
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