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Do you know if there’s a Python library that implements the NSI matching logic? Given a GeoJSON object with OSM tags in properties, that library would return the NSI-suggested changes. Does this already exist?
According to your request, with regard to the Python library that implements NSI (which may refer to fuzzy matching logic), the Python library of NSI matching logic is not directly mentioned in the search results. However, you can see from the search results that there are some Python libraries that can be used to implement logical matching-related functions such as fuzzy matching or logical regression. Here are some related libraries:
Scikit-learn: this is a widely used machine learning library that provides a variety of classification, regression and clustering algorithms, including logical regression. Although it is not specifically used for NSI matching logic, logical regression algorithms can be used for binary problems, which may be related to what you call NSI matching logic.
Fuzzywuzzy: this is a Python library that calculates the difference between two sequences and can be used for fuzzy matching. It is not mentioned directly from search results, but it is a commonly used fuzzy matching library.
Gensim: this library provides tools for topic modeling and document similarity analysis, including TF-IDF models and similarity indexes, which can be used for fuzzy matching.
If you need to implement specific NSI matching logic, you may need to combine the capabilities of these libraries to build your solution. If you have more specific NSI matching logic requirements, you can provide more details so that I can provide more precise advice.
Do you know if there’s a Python library that implements the NSI matching logic? Given a GeoJSON object with OSM tags in
properties
, that library would return the NSI-suggested changes. Does this already exist?The Osmose codebase implements parts of NSI but afaik there’s more to the matching logic.
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