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giordanogiordano
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Take MLJOpenML out of MLJBase
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‎.github/workflows/CI.yml‎

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name: CI
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on:
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push:
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branches: "dev"
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tags: ["*"]
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pull_request:
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release:
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jobs:
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test:
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name: Julia ${{ matrix.julia-version }} - ${{ matrix.os }} - ${{ matrix.julia-arch }}
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runs-on: ${{ matrix.os }}
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strategy:
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fail-fast: false
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matrix:
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julia-version:
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- "1.0"
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- "1"
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- "nightly"
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os:
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- ubuntu-latest
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- macos-latest
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- windows-latest
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julia-arch:
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- x64
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steps:
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- uses: actions/checkout@v2
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- uses: julia-actions/setup-julia@v1
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with:
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version: ${{ matrix.julia-version }}
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arch: ${{ matrix.julia-arch }}
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- name: Cache artifacts
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uses: actions/cache@v2
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env:
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cache-name: cache-artifacts
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with:
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path: |
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~/.julia/artifacts
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key: ${{ runner.os }}-test-${{ env.cache-name }}-${{ hashFiles('**/Project.toml') }}
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restore-keys: |
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${{ runner.os }}-test-${{ env.cache-name }}-
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${{ runner.os }}-test-
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${{ runner.os }}-
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- uses: julia-actions/julia-buildpkg@latest
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- uses: julia-actions/julia-runtest@latest
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- uses: julia-actions/[email protected]
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continue-on-error: true
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- uses: julia-actions/[email protected]
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continue-on-error: true
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Documentation:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- uses: julia-actions/setup-julia@latest
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with:
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version: 1
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- name: Cache artifacts
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uses: actions/cache@v2
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env:
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cache-name: cache-artifacts
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with:
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path: |
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~/.julia/artifacts
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key: ${{ runner.os }}-test-${{ env.cache-name }}-${{ hashFiles('**/docs/Project.toml') }}
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restore-keys: |
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${{ runner.os }}-test-${{ env.cache-name }}-
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${{ runner.os }}-test-
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${{ runner.os }}-
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- uses: julia-actions/julia-docdeploy@releases/v1
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env:
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DOCUMENTER_KEY: ${{ secrets.DOCUMENTER_KEY }}

‎.github/workflows/CompatHelper.yml‎

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name: CompatHelper
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on:
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schedule:
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- cron: '00 00 * * *'
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workflow_dispatch:
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jobs:
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CompatHelper:
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runs-on: ubuntu-latest
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steps:
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- name: Pkg.add("CompatHelper")
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run: julia -e 'using Pkg; Pkg.add("CompatHelper")'
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- name: CompatHelper.main()
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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COMPATHELPER_PRIV: ${{ secrets.COMPATHELPER_PRIV }} # optional
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run: julia -e 'using CompatHelper; CompatHelper.main()'

‎.github/workflows/TagBot.yml‎

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name: TagBot
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on:
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issue_comment:
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types:
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- created
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workflow_dispatch:
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jobs:
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TagBot:
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if: github.event_name == 'workflow_dispatch' || github.actor == 'JuliaTagBot'
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runs-on: ubuntu-latest
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steps:
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- uses: JuliaRegistries/TagBot@v1
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with:
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token: ${{ secrets.GITHUB_TOKEN }}
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ssh: ${{ secrets.DOCUMENTER_KEY }}

‎Project.toml‎

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name = "MLJOpenML"
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uuid = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
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authors = ["Anthony D. Blaom <[email protected]>"]
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version = "1.0.0"
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[deps]
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HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
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JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
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[compat]
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HTTP = "^0.8, 0.9"
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JSON = "^0.21"
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julia = "1"
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[extras]
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Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
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Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
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[targets]
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test = ["Tables", "Test"]

‎docs/Project.toml‎

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[deps]
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Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
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[compat]
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Documenter = "~0.26"

‎docs/make.jl‎

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using Documenter, MLJOpenML
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makedocs(
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modules = [MLJOpenML],
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sitename = "MLJOpenML.jl",
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)
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deploydocs(
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repo = "github.com/alan-turing-institute/MLJOpenML.jl.git",
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)

‎docs/src/index.md‎

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# MLJOpenML.jl Documentation
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This is the reference documentation of
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[`MLJOpenML.jl`](https://github.com/alan-turing-institute/MLJOpenML.jl).
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```@autodocs
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Modules = [MLJOpenML]
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```

‎src/MLJOpenML.jl‎

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module MLJOpenML
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include("openml.jl")
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end # module

‎src/openml.jl‎

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module OpenML
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using HTTP
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using JSON
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end
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"""
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OpenML.load(id)
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MLJOpenML.load(id)
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Load the OpenML dataset with specified `id`, from those listed on the
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[OpenML site](https://www.openml.org/search?type=data).
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```julia
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using DataFrames
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rowtable = OpenML.load(61);
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rowtable = MLJOpenML.load(61);
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df = DataFrame(rowtable);
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df2 = coerce(df, :class=>Multiclass)
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```
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# Task API
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# Run API
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end # module

‎test/openml.jl‎

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using Test
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using HTTP
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using MLJBase
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using MLJOpenML
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import Tables.istable
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response_test = OpenML.load_Dataset_Description(61)
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ntp_test = OpenML.load(61)
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response_test = MLJOpenML.load_Dataset_Description(61)
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ntp_test = MLJOpenML.load(61)
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@test istable(ntp_test)
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dqlist_test = OpenML.load_Data_Qualities_List()
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data_features_test = OpenML.load_Data_Features(61)
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data_qualities_test = OpenML.load_Data_Qualities(61)
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dqlist_test = MLJOpenML.load_Data_Qualities_List()
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data_features_test = MLJOpenML.load_Data_Features(61)
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data_qualities_test = MLJOpenML.load_Data_Qualities(61)
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limit = 5
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offset = 8
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filters_test = OpenML.load_List_And_Filter("limit/$limit/offset/$offset")
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filters_test = MLJOpenML.load_List_And_Filter("limit/$limit/offset/$offset")
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@testset "HTTP connection" begin
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@test typeof(response_test) <: Dict

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