@@ -14,72 +14,8 @@ learning framework (such as uploading MLJ runs) see
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[ MLJOpenML.jl] ( https://github.com/JuliaAI/MLJOpenML.jl ) .
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- The code in this repository is based on contributions of Diego Arenas
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+ ** Acknowledgements. ** The code in this repository is based on contributions of Diego Arenas
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to [ MLJBase.jl] ( https://github.com/JuliaAI/MLJBase.jl ) which do not
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appear in the commit history of this repository.
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- Package documentation is [ here] ( https://JuliaAI.github.io/OpenML.jl/dev ) .
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-
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- ## Summary of functionality
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-
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- - ` OpenML.list_tags() ` : for listing all dataset tags
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-
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- - ` OpenML.list_datasets(; tag=nothing, filter=nothing, output_format=...) ` : for listing available datasets
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-
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- - ` OpenML.describe_dataset(id) ` : to describe a particular dataset
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-
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- - ` OpenML.load(id; parser=:arff) ` : to download a dataset
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-
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-
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- ## Installation
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-
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- ``` julia
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- using Pkg
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- Pkg. add (" OpenML" )
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- ```
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-
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- If running the demonstration below:
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-
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- ``` julia
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- Pkg. add (" DataFrames" )
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- Pkg. add (" ScientificTypes" )
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- ```
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-
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- ## Sample usage
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-
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- ``` julia
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- using OpenML # or using MLJ
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- using DataFrames
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-
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- OpenML. list_tags ()
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- ```
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-
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- Listing all datasets with the "OpenML100" tag which also have ` n `
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- instances and ` p ` features, where ` 100 < n < 1000 ` and ` 1 < p < 10 ` :
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-
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- ``` julia
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- ds = OpenML. list_datasets (
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- tag = " OpenML100" ,
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- filter = " number_instances/100..1000/number_features/1..10" ,
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- output_format = DataFrame)
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- ```
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-
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- Describing and loading one of these datasets:
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-
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- ``` julia
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- OpenML. describe_dataset (15 )
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- table = OpenML. load (15 )
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- ```
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-
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- Converting to a data frame:
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-
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- ``` julia
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- df = DataFrame (table)
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- ```
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-
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- Inspecting it's schema:
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-
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- ``` julia
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- using ScientificTypes
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- schema (table)
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- ```
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+ Package documentation is [ here] ( https://JuliaAI.github.io/OpenML.jl/stable ) .
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