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New example: Auto-imputation aka handling missing numeric covariates (#753)
* + take a new up-to-date branch off master and dump in new NB missing values in covariates + update NB with various minor improvements following PR review in the old branch #722 + additional typos etc * + ran pre-commit autoupdate * + ran precommit on new NB, created myst file
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.pre-commit-config.yaml

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repos:
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- repo: https://github.com/psf/black
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rev: 24.4.2
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rev: 24.10.0
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hooks:
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- id: black-jupyter
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- repo: https://github.com/nbQA-dev/nbQA
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rev: 1.8.5
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rev: 1.9.1
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hooks:
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- id: nbqa-isort
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additional_dependencies: [isort==5.6.4]
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|examples/samplers/MLDA_variance_reduction_linear_regression\.ipynb$
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- repo: https://github.com/FlamingTempura/bibtex-tidy
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rev: v1.11.0
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rev: v1.14.0
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hooks:
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- id: bibtex-tidy
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files: examples/references.bib
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language: pygrep
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types_or: [markdown, rst, jupyter]
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- repo: https://github.com/mwouts/jupytext
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rev: v1.16.3
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rev: v1.16.5
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hooks:
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- id: jupytext
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files: ^examples/.+\.ipynb$

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