Comments (7)
thanks @AlizeeL for reporting, it looks like a bug.
May I ask why are you using Colab? do you need a lot of computational power?
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Some of the datasets I am using can be quite big so yes. Using Colab is a side of my research on accessibility to such tools to non-expert users.
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@AlizeeL thanks for response, we are working on notebook with UI for code generation, that is designed for non-experts users. It is called MLJAR Studio, available as desktop app on our website https://mljar.com/ It is in early development phase, but csv data loading and AutoML training is working. I hope you will find it interesting.
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Thanks @pplonski , it does look promising.
Do you know if my type of issue might get solved in the near future? I just need to know in case I have to work on a machine instead of Colab.
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Thank you. I'm adding @Bocianski to disscussion about plans for fix. For sure, it will help us a lot, if you could provide full code and data for reproduction.
from mljar-supervised.
Here's my code. There's a link at the top to a dataset.
It's a reduced version of my dataset to avoid long computational time. It doesn't change the issues/output.
Let me know if there's any problems with the links, I can send code/data by email if that's the case.
Thanks :)
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i am seeing a similar error while running MLJar on an azure VM, do y'all know why this may be happening?
this is the specific error
"log_loss_eps() got an unexpected keyword argument 'response_method'
Problem during computing permutation importance. Skipping ..."
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Related Issues (20)
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- user warning in test: tests/tests_automl/test_targets.py::AutoMLTargetsTest::test_bin_class_AB_missing_targets
- user warning in test: tests/tests_automl/test_targets.py::AutoMLTargetsTest::test_multi_class_abcd_missing_target HOT 1
- user warning in test: tests/tests_automl/test_targets.py::AutoMLTargetsTest::test_regression_missing_target
- warning in test: tests/tests_automl/test_update_errors_report.py::AutoMLUpdateErrorsReportTest::test_custom_init HOT 1
- warning in test: tests/tests_preprocessing/test_goldenfeatures_transformer.py::GoldenFeaturesTransformerTest::test_features_count HOT 1
- warning in test: tests/tests_preprocessing/test_goldenfeatures_transformer.py::GoldenFeaturesTransformerTest::test_transformer HOT 1
- future warning in test: tests/tests_preprocessing/test_label_binarizer.py::LabelBinarizerTest::test_inverse_transform HOT 2
- user warning in test: tests/tests_preprocessing/test_scale.py::ScaleTest::test_fit_log_and_normal HOT 1
- user warning in test: tests/tests_preprocessing/test_scale.py::ScaleTest::test_to_and_from_json HOT 1
- user warning in test: tests/tests_validation/test_validator_kfold.py::KFoldValidatorTest::test_disable_repeats_when_disabled_shuffle HOT 1
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