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JuliaAI / DataScienceTutorials.jl

A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)
https://juliaai.github.io/DataScienceTutorials.jl/
MIT License
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Add tutorial for StaticTransformer #24

Open tlienart opened 4 years ago

tlienart commented 4 years ago

one example given on slack would be recoding: x -> replace(uppercase(x), " "=>"")

ablaom commented 4 years ago

I guess you mean adding docs for subtyping Static (which supersedes this StaticTransformer).

There is some documentation, buried under "Composing Models" section of manual (search for Averager but agree this is not the obvious place to find it. Perhaps under "Simple User Defined Models" with links from "Adding Models for General Use", and the existing entry.

ablaom commented 4 years ago

Basically written, no?

https://github.com/alan-turing-institute/MLJ.jl/issues/307#issuecomment-594897959

Maybe change the function used example to simplify / improve readability? Maybe drop use of DataFrames to make more generic?

ablaom commented 4 years ago

cc @vollmersj

ablaom commented 4 years ago

There is now an entry in the user manual that also could be used.

https://alan-turing-institute.github.io/MLJ.jl/dev/transformers/#Static-transformers-1

ablaom commented 4 months ago

On reconsideration, we should just use a standard pipeline, and not a learning network as these are more advanced.