Force use of Linear algorithm #738
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mljar-supervised removes the Linear algorithm for dataset larger than 10,000 rows. I had such dataset, and needed to see how Linear behaved. If I set Linear as the only algorithm, I obtained this error: supervised.exceptions.AutoMLException: No models produced. Please check your data or submit a Github issue at https://github.com/mljar/mljar-supervised/issues/new. This is not a mljar-supervised bug. I wonder this pull request is useful for others.
Update base_automl.py
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mljar-supervised removes the Linear algorithm for dataset larger than 10,000 rows. I had such dataset, and needed to see how Linear behaved. If I set Linear as the only algorithm, I obtained this error:
supervised.exceptions.AutoMLException: No models produced. Please check your data or submit a Github issue at https://github.com/mljar/mljar-supervised/issues/new.
This is not a mljar-supervised bug. I wonder this pull request is useful for others too.