This package makes a distinction between machine type and scientific type of a Julia object. The machine type refers to the Julia type being used to represent the object (for instance, Float64). The scientific type is one of the types defined in ScientificTypesBase.jl reflecting how the object should be interpreted (for instance, Continuous or Multiclass).
Features
- The machine type refers to the Julia type being used to represent the object (for instance, Float64)
- The scientific type is one of the types defined in ScientificTypesBase.jl reflecting how the object should be interpreted (for instance, Continuous or Multiclass)
- Collection of scitype definitions that articulate a default convention
- Coerce function, for changing machine types to reflect a specified scientific interpretation (scientific type)
- Autotype fuction for "guessing" the intended scientific type of data
- An API for dispatching on the "scientific" type of data instead of the machine type
Categories
Data VisualizationLicense
MIT LicenseFollow ScientificTypes.jl
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of ScientificTypes.jl!