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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Today we will be showing how to do outlier detection in FiftyOne using embeddings and sklearn! To start, install the outlier detection plugin to gain access to the outlier_detection operator. It can be installed with:
Outliers are found in almost every dataset. Finding them, especially across hundreds of thousands if not millions of samples can be a daunting task, but with FiftyOne, the workflow can be made simple with the Outlier Detection. If you are interested in finding more FiftyOne plugins, checkout our community repo to optimize your workflows with plugins or contribute one of your own! Plugins are highly flexible and always open source so that you can customize it exactly to your needs! Have fun exploring!
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