mmlspark VS dblink

Compare mmlspark vs dblink and see what are their differences.

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mmlspark dblink
2 1
2,489 54
- -
9.3 0.0
over 2 years ago almost 3 years ago
Scala Scala
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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mmlspark

Posts with mentions or reviews of mmlspark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-08.

dblink

Posts with mentions or reviews of dblink. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-10.
  • [D] Machine Learning and "Record Linkage"
    2 projects | /r/statistics | 10 Mar 2021
    Felligi-Sunter is the baseline model in record linkage research. It is implemented in R in fastLink and RecordLinkage, but you will need training data. There are some other options, e.g. dblink, that use Bayesian methods and a latent variable set up so you don’t need training data.

What are some alternatives?

When comparing mmlspark and dblink you can also consider the following projects:

SynapseML - Simple and Distributed Machine Learning

isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

entity-embed - PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

splink - Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

metarank - A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Spark Utils - Basic framework utilities to quickly start writing production ready Apache Spark applications

Spark Tools - Executable Apache Spark Tools: Format Converter & SQL Processor

sparkMeasure - This is the development repository for sparkMeasure, a tool and library designed for efficient analysis and troubleshooting of Apache Spark jobs. It focuses on easing the collection and examination of Spark metrics, making it a practical choice for both developers and data engineers.

qbeast-spark - Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!

delight - A Spark UI and Spark History Server alternative with CPU and Memory metrics! Delight is free, cross-platform, and open-source.