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dockerized autots
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‎DockerizedAutoTS/CondaPkg.toml‎

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[deps]
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mlflow = ""
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pycaret = "3.3.*"
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python = "3.11.*"
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requests = ""

‎DockerizedAutoTS/Dockerfile‎

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FROM julia:latest
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LABEL MAINTAINER='Paulito Palmes "[email protected]"'
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y locales build-essential git
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RUN sed -i -e 's/# en_US.UTF-8 UTF-8/en_US.UTF-8 UTF-8/' /etc/locale.gen && \
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dpkg-reconfigure --frontend=noninteractive locales && \
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update-locale LANG=en_US.UTF-8
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ENV LANG en_US.UTF-8
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ENV LANGUAGE en_US:en
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ENV LC_ALL en_US.UTF-8
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RUN mkdir /amlp
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RUN cd /amlp
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WORKDIR /amlp
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COPY *.csv /amlp/
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COPY Project.toml /amlp/
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COPY automl_sysimage.jl /amlp/
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COPY automl_precompile.jl /amlp/
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ADD https://github.com/IBM/AutoMLPipeline.jl.git /amlp/AutoMLPipeline/
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RUN julia --project -e 'using Pkg;\
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Pkg.develop(path="./AutoMLPipeline/AutoAD/");\
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Pkg.instantiate();\
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Pkg.update();\
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Pkg.precompile();\
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include("automl_sysimage.jl")'
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COPY main.jl /amlp/
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ENTRYPOINT ["julia", "--project", "-Jautoml.so", "--", "main.jl"]
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#ENTRYPOINT ["julia", "--project", "--", "main.jl"]
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#ENTRYPOINT [ "/bin/bash" ]

‎DockerizedAutoTS/Project.toml‎

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[deps]
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AMLPipelineBase = "e3c3008a-8869-4d53-9f34-c96f99c8a2b6"
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ArgParse = "c7e460c6-2fb9-53a9-8c5b-16f535851c63"
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AutoAD = "a90a1e1f-13cb-41ec-be1f-24b06fd2b474"
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AutoMLPipeline = "08437348-eef5-4817-bc1b-d4e9459680d6"
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CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
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CondaPkg = "992eb4ea-22a4-4c89-a5bb-47a3300528ab"
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DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
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Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
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Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
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GR = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71"
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PackageCompiler = "9b87118b-4619-50d2-8e1e-99f35a4d4d9d"
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Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
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PythonCall = "6099a3de-0909-46bc-b1f4-468b9a2dfc0d"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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Serialization = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
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Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
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StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
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Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

‎DockerizedAutoTS/automl_precompile.jl‎

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import AMLPipelineBase
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include(joinpath(pkgdir(AMLPipelineBase), "test", "runtests.jl"))
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import AutoMLPipeline
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include(joinpath(pkgdir(AutoMLPipeline), "test", "runtests.jl"))
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import AutoAD
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include(joinpath(pkgdir(AutoAD), "test", "runtests.jl"))

‎DockerizedAutoTS/automl_sysimage.jl‎

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using PackageCompiler
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create_sysimage(["AMLPipelineBase", "DataFrames", "StatsBase",
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"ArgParse", "AutoMLPipeline", "CSV", "Dates", "Distributed",
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"Random", "ArgParse", "Test", "Distributed", "PythonCall","AutoAD",
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"Statistics", "Serialization", "StatsBase", "Test"],
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sysimage_path="automl.so", precompile_execution_file="automl_precompile.jl")

‎DockerizedAutoTS/iris.csv‎

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SepalLength,SepalWidth,PetalLength,PetalWidth,Species
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5.1,3.5,1.4,0.2,setosa
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4.9,3.0,1.4,0.2,setosa
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4.7,3.2,1.3,0.2,setosa
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4.6,3.1,1.5,0.2,setosa
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5.0,3.6,1.4,0.2,setosa
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5.4,3.9,1.7,0.4,setosa
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4.6,3.4,1.4,0.3,setosa
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5.0,3.4,1.5,0.2,setosa
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4.4,2.9,1.4,0.2,setosa
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4.9,3.1,1.5,0.1,setosa
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5.4,3.7,1.5,0.2,setosa
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4.8,3.4,1.6,0.2,setosa
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4.8,3.0,1.4,0.1,setosa
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4.3,3.0,1.1,0.1,setosa
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5.8,4.0,1.2,0.2,setosa
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5.7,4.4,1.5,0.4,setosa
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5.4,3.9,1.3,0.4,setosa
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5.1,3.5,1.4,0.3,setosa
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5.7,3.8,1.7,0.3,setosa
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5.1,3.8,1.5,0.3,setosa
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5.4,3.4,1.7,0.2,setosa
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5.1,3.7,1.5,0.4,setosa
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4.6,3.6,1.0,0.2,setosa
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5.1,3.3,1.7,0.5,setosa
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4.8,3.4,1.9,0.2,setosa
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5.0,3.0,1.6,0.2,setosa
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5.0,3.4,1.6,0.4,setosa
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5.2,3.5,1.5,0.2,setosa
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5.2,3.4,1.4,0.2,setosa
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4.7,3.2,1.6,0.2,setosa
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4.8,3.1,1.6,0.2,setosa
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5.4,3.4,1.5,0.4,setosa
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5.2,4.1,1.5,0.1,setosa
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5.5,4.2,1.4,0.2,setosa
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4.9,3.1,1.5,0.2,setosa
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5.0,3.2,1.2,0.2,setosa
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5.5,3.5,1.3,0.2,setosa
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4.9,3.6,1.4,0.1,setosa
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4.4,3.0,1.3,0.2,setosa
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5.1,3.4,1.5,0.2,setosa
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5.0,3.5,1.3,0.3,setosa
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4.5,2.3,1.3,0.3,setosa
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4.4,3.2,1.3,0.2,setosa
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5.0,3.5,1.6,0.6,setosa
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5.1,3.8,1.9,0.4,setosa
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4.8,3.0,1.4,0.3,setosa
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5.1,3.8,1.6,0.2,setosa
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4.6,3.2,1.4,0.2,setosa
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5.3,3.7,1.5,0.2,setosa
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5.0,3.3,1.4,0.2,setosa
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7.0,3.2,4.7,1.4,versicolor
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6.4,3.2,4.5,1.5,versicolor
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6.9,3.1,4.9,1.5,versicolor
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5.5,2.3,4.0,1.3,versicolor
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6.5,2.8,4.6,1.5,versicolor
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5.7,2.8,4.5,1.3,versicolor
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6.3,3.3,4.7,1.6,versicolor
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4.9,2.4,3.3,1.0,versicolor
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6.6,2.9,4.6,1.3,versicolor
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5.2,2.7,3.9,1.4,versicolor
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5.0,2.0,3.5,1.0,versicolor
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5.9,3.0,4.2,1.5,versicolor
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6.0,2.2,4.0,1.0,versicolor
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6.1,2.9,4.7,1.4,versicolor
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5.6,2.9,3.6,1.3,versicolor
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6.7,3.1,4.4,1.4,versicolor
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5.6,3.0,4.5,1.5,versicolor
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5.8,2.7,4.1,1.0,versicolor
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6.2,2.2,4.5,1.5,versicolor
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5.6,2.5,3.9,1.1,versicolor
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5.9,3.2,4.8,1.8,versicolor
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6.1,2.8,4.0,1.3,versicolor
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6.3,2.5,4.9,1.5,versicolor
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6.1,2.8,4.7,1.2,versicolor
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6.4,2.9,4.3,1.3,versicolor
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6.6,3.0,4.4,1.4,versicolor
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6.8,2.8,4.8,1.4,versicolor
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6.7,3.0,5.0,1.7,versicolor
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6.0,2.9,4.5,1.5,versicolor
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5.7,2.6,3.5,1.0,versicolor
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5.5,2.4,3.8,1.1,versicolor
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5.5,2.4,3.7,1.0,versicolor
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5.8,2.7,3.9,1.2,versicolor
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6.0,2.7,5.1,1.6,versicolor
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5.4,3.0,4.5,1.5,versicolor
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6.0,3.4,4.5,1.6,versicolor
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6.7,3.1,4.7,1.5,versicolor
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6.3,2.3,4.4,1.3,versicolor
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5.6,3.0,4.1,1.3,versicolor
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5.5,2.5,4.0,1.3,versicolor
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5.5,2.6,4.4,1.2,versicolor
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6.1,3.0,4.6,1.4,versicolor
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5.8,2.6,4.0,1.2,versicolor
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5.0,2.3,3.3,1.0,versicolor
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5.6,2.7,4.2,1.3,versicolor
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5.7,3.0,4.2,1.2,versicolor
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5.7,2.9,4.2,1.3,versicolor
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6.2,2.9,4.3,1.3,versicolor
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5.1,2.5,3.0,1.1,versicolor
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5.7,2.8,4.1,1.3,versicolor
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6.3,3.3,6.0,2.5,virginica
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5.8,2.7,5.1,1.9,virginica
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7.1,3.0,5.9,2.1,virginica
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6.3,2.9,5.6,1.8,virginica
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6.5,3.0,5.8,2.2,virginica
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7.6,3.0,6.6,2.1,virginica
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4.9,2.5,4.5,1.7,virginica
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7.3,2.9,6.3,1.8,virginica
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6.7,2.5,5.8,1.8,virginica
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7.2,3.6,6.1,2.5,virginica
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6.5,3.2,5.1,2.0,virginica
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6.4,2.7,5.3,1.9,virginica
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6.8,3.0,5.5,2.1,virginica
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5.7,2.5,5.0,2.0,virginica
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5.8,2.8,5.1,2.4,virginica
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6.4,3.2,5.3,2.3,virginica
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6.5,3.0,5.5,1.8,virginica
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7.7,3.8,6.7,2.2,virginica
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7.7,2.6,6.9,2.3,virginica
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6.0,2.2,5.0,1.5,virginica
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6.9,3.2,5.7,2.3,virginica
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5.6,2.8,4.9,2.0,virginica
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7.7,2.8,6.7,2.0,virginica
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6.3,2.7,4.9,1.8,virginica
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6.7,3.3,5.7,2.1,virginica
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7.2,3.2,6.0,1.8,virginica
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6.2,2.8,4.8,1.8,virginica
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6.1,3.0,4.9,1.8,virginica
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6.4,2.8,5.6,2.1,virginica
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7.2,3.0,5.8,1.6,virginica
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7.4,2.8,6.1,1.9,virginica
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7.9,3.8,6.4,2.0,virginica
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6.4,2.8,5.6,2.2,virginica
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6.3,2.8,5.1,1.5,virginica
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6.1,2.6,5.6,1.4,virginica
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7.7,3.0,6.1,2.3,virginica
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6.3,3.4,5.6,2.4,virginica
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6.4,3.1,5.5,1.8,virginica
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6.0,3.0,4.8,1.8,virginica
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6.9,3.1,5.4,2.1,virginica
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6.7,3.1,5.6,2.4,virginica
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6.9,3.1,5.1,2.3,virginica
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5.8,2.7,5.1,1.9,virginica
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6.8,3.2,5.9,2.3,virginica
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6.7,3.3,5.7,2.5,virginica
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6.7,3.0,5.2,2.3,virginica
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6.3,2.5,5.0,1.9,virginica
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6.5,3.0,5.2,2.0,virginica
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6.2,3.4,5.4,2.3,virginica
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5.9,3.0,5.1,1.8,virginica

‎DockerizedAutoTS/iris_reg.csv‎

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SepalLength,PetalLength,PetalWidth,Species,SepalWidth
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5.1,1.4,0.2,setosa,3.5
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4.9,1.4,0.2,setosa,3.0
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4.7,1.3,0.2,setosa,3.2
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4.6,1.5,0.2,setosa,3.1
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5.0,1.4,0.2,setosa,3.6
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5.4,1.7,0.4,setosa,3.9
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4.6,1.4,0.3,setosa,3.4
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5.0,1.5,0.2,setosa,3.4
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4.4,1.4,0.2,setosa,2.9
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4.9,1.5,0.1,setosa,3.1
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5.4,1.5,0.2,setosa,3.7
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4.8,1.6,0.2,setosa,3.4
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4.8,1.4,0.1,setosa,3.0
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4.3,1.1,0.1,setosa,3.0
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5.8,1.2,0.2,setosa,4.0
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5.7,1.5,0.4,setosa,4.4
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5.4,1.3,0.4,setosa,3.9
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5.1,1.4,0.3,setosa,3.5
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5.7,1.7,0.3,setosa,3.8
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5.1,1.5,0.3,setosa,3.8
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5.4,1.7,0.2,setosa,3.4
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5.1,1.5,0.4,setosa,3.7
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4.6,1.0,0.2,setosa,3.6
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5.1,1.7,0.5,setosa,3.3
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4.8,1.9,0.2,setosa,3.4
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5.0,1.6,0.2,setosa,3.0
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5.0,1.6,0.4,setosa,3.4
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5.2,1.5,0.2,setosa,3.5
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5.2,1.4,0.2,setosa,3.4
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4.7,1.6,0.2,setosa,3.2
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4.8,1.6,0.2,setosa,3.1
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5.4,1.5,0.4,setosa,3.4
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5.2,1.5,0.1,setosa,4.1
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5.5,1.4,0.2,setosa,4.2
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4.9,1.5,0.2,setosa,3.1
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5.0,1.2,0.2,setosa,3.2
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5.5,1.3,0.2,setosa,3.5
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4.9,1.4,0.1,setosa,3.6
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4.4,1.3,0.2,setosa,3.0
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5.1,1.5,0.2,setosa,3.4
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5.0,1.3,0.3,setosa,3.5
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4.5,1.3,0.3,setosa,2.3
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4.4,1.3,0.2,setosa,3.2
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5.0,1.6,0.6,setosa,3.5
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5.1,1.9,0.4,setosa,3.8
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4.8,1.4,0.3,setosa,3.0
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5.1,1.6,0.2,setosa,3.8
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4.6,1.4,0.2,setosa,3.2
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5.3,1.5,0.2,setosa,3.7
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5.0,1.4,0.2,setosa,3.3
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7.0,4.7,1.4,versicolor,3.2
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6.4,4.5,1.5,versicolor,3.2
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6.9,4.9,1.5,versicolor,3.1
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5.5,4.0,1.3,versicolor,2.3
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6.5,4.6,1.5,versicolor,2.8
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5.7,4.5,1.3,versicolor,2.8
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6.3,4.7,1.6,versicolor,3.3
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4.9,3.3,1.0,versicolor,2.4
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6.6,4.6,1.3,versicolor,2.9
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5.2,3.9,1.4,versicolor,2.7
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5.0,3.5,1.0,versicolor,2.0
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5.9,4.2,1.5,versicolor,3.0
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6.0,4.0,1.0,versicolor,2.2
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6.1,4.7,1.4,versicolor,2.9
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5.6,3.6,1.3,versicolor,2.9
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6.7,4.4,1.4,versicolor,3.1
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5.6,4.5,1.5,versicolor,3.0
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5.8,4.1,1.0,versicolor,2.7
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6.2,4.5,1.5,versicolor,2.2
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5.6,3.9,1.1,versicolor,2.5
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5.9,4.8,1.8,versicolor,3.2
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6.1,4.0,1.3,versicolor,2.8
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6.3,4.9,1.5,versicolor,2.5
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6.1,4.7,1.2,versicolor,2.8
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6.4,4.3,1.3,versicolor,2.9
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6.6,4.4,1.4,versicolor,3.0
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6.8,4.8,1.4,versicolor,2.8
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6.7,5.0,1.7,versicolor,3.0
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6.0,4.5,1.5,versicolor,2.9
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5.7,3.5,1.0,versicolor,2.6
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5.5,3.8,1.1,versicolor,2.4
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5.5,3.7,1.0,versicolor,2.4
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5.8,3.9,1.2,versicolor,2.7
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6.0,5.1,1.6,versicolor,2.7
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5.4,4.5,1.5,versicolor,3.0
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6.0,4.5,1.6,versicolor,3.4
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6.7,4.7,1.5,versicolor,3.1
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6.3,4.4,1.3,versicolor,2.3
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5.6,4.1,1.3,versicolor,3.0
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5.5,4.0,1.3,versicolor,2.5
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5.5,4.4,1.2,versicolor,2.6
93+
6.1,4.6,1.4,versicolor,3.0
94+
5.8,4.0,1.2,versicolor,2.6
95+
5.0,3.3,1.0,versicolor,2.3
96+
5.6,4.2,1.3,versicolor,2.7
97+
5.7,4.2,1.2,versicolor,3.0
98+
5.7,4.2,1.3,versicolor,2.9
99+
6.2,4.3,1.3,versicolor,2.9
100+
5.1,3.0,1.1,versicolor,2.5
101+
5.7,4.1,1.3,versicolor,2.8
102+
6.3,6.0,2.5,virginica,3.3
103+
5.8,5.1,1.9,virginica,2.7
104+
7.1,5.9,2.1,virginica,3.0
105+
6.3,5.6,1.8,virginica,2.9
106+
6.5,5.8,2.2,virginica,3.0
107+
7.6,6.6,2.1,virginica,3.0
108+
4.9,4.5,1.7,virginica,2.5
109+
7.3,6.3,1.8,virginica,2.9
110+
6.7,5.8,1.8,virginica,2.5
111+
7.2,6.1,2.5,virginica,3.6
112+
6.5,5.1,2.0,virginica,3.2
113+
6.4,5.3,1.9,virginica,2.7
114+
6.8,5.5,2.1,virginica,3.0
115+
5.7,5.0,2.0,virginica,2.5
116+
5.8,5.1,2.4,virginica,2.8
117+
6.4,5.3,2.3,virginica,3.2
118+
6.5,5.5,1.8,virginica,3.0
119+
7.7,6.7,2.2,virginica,3.8
120+
7.7,6.9,2.3,virginica,2.6
121+
6.0,5.0,1.5,virginica,2.2
122+
6.9,5.7,2.3,virginica,3.2
123+
5.6,4.9,2.0,virginica,2.8
124+
7.7,6.7,2.0,virginica,2.8
125+
6.3,4.9,1.8,virginica,2.7
126+
6.7,5.7,2.1,virginica,3.3
127+
7.2,6.0,1.8,virginica,3.2
128+
6.2,4.8,1.8,virginica,2.8
129+
6.1,4.9,1.8,virginica,3.0
130+
6.4,5.6,2.1,virginica,2.8
131+
7.2,5.8,1.6,virginica,3.0
132+
7.4,6.1,1.9,virginica,2.8
133+
7.9,6.4,2.0,virginica,3.8
134+
6.4,5.6,2.2,virginica,2.8
135+
6.3,5.1,1.5,virginica,2.8
136+
6.1,5.6,1.4,virginica,2.6
137+
7.7,6.1,2.3,virginica,3.0
138+
6.3,5.6,2.4,virginica,3.4
139+
6.4,5.5,1.8,virginica,3.1
140+
6.0,4.8,1.8,virginica,3.0
141+
6.9,5.4,2.1,virginica,3.1
142+
6.7,5.6,2.4,virginica,3.1
143+
6.9,5.1,2.3,virginica,3.1
144+
5.8,5.1,1.9,virginica,2.7
145+
6.8,5.9,2.3,virginica,3.2
146+
6.7,5.7,2.5,virginica,3.3
147+
6.7,5.2,2.3,virginica,3.0
148+
6.3,5.0,1.9,virginica,2.5
149+
6.5,5.2,2.0,virginica,3.0
150+
6.2,5.4,2.3,virginica,3.4
151+
5.9,5.1,1.8,virginica,3.0

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