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  • MLJAR Studio

    • Quick start
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  • Code Recipes

  • Python

    • Display Python version
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    • Access environment variable
    • Random integer
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    • Check if file exists
    • Read file
    • Write to file
    • Append to file
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    • Read JSON from file
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    • Pretty print JSON
  • Read data

    • Sample datasets
    • Read CSV
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    • Load Pickle
    • Read HTML
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  • Write data

    • Write CSV
    • Save to Pickle
  • Data wrangling

    • Select X,y
    • Select Columns
    • Filter rows
    • Split to train/test
  • MLJAR AutoML

    • Train AutoML
    • Predict with AutoML
    • AutoML report
    • Load AutoML

RecipeSet

MLJAR AutoML

Use MLJAR AutoML to train ML pipeline on tabular data.

  • Train AutoML

    Train Machine Learning pipeline with AutoML in Python

  • Predict with AutoML

    Compute predictions on new data with AutoML.

  • AutoML report

    Display AutoML report from training with details about each model.

  • Load AutoML

    Load AutoML models from disk and use them to compute predictions on new data.

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Split to train/test
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Train AutoML
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