List of MLOps Products with some attributes about what they do.
https://docs.google.com/spreadsheets/d/1Mp4Ht0o8w7kt0w_9I8w5CN2lIwAp0D6XT3jv9DZZbuA/edit?usp=sharing
MLOps, or Machine Learning Operations, is a set of practices that aim to streamline the process of taking machine learning models to production as well as maintaining and monitoring them.
Levenshtein distance is a measure of similarity. (Distance Metric)
For comparing: similarity between between two words or phrases (strings).
The measure is symmetric: Lev(a,b) == Lev(b,a)
The domain of the measure is 0, +inf
The cardinality of the distance metric is: 0, if and only if the two strings are equal, and as it approaches +inf measures the difference between two strings
Software Implementations:
Python: `python-Levenshtein`