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When first testing the `RandomForestClassifier` class I got an error:
```sh
python manage.py test apps.ml.tests
{'status': 'Error', 'message': "y contains previously unseen labels: 'Private'"}
…
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Use DALEX to explain AutoML model created with MLJar
like this one:
https://mljar.com/blog/machine-learning-wars/
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Hi. Please see below crash during a long run. The system first crashed with a message saying a worker had crashed maybe because of a memory error. I don't think that was it as memory used was less …
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I encountered an error when using automl.fit for binary classification:
supervised.exceptions ERROR The algorithm Baseline is not allowed to use for ML task: binary_classification. Allowed algorit…
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Add 2 new options for validation.
1. Validation with a split.
2. Validation with a separate dataset. (https://github.com/mljar/mljar-supervised/issues/101)
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While plotting the learning curve for the neural network ( iterations > 1) , the figure shows legend as every fold instead of the specific fold which for which the results are recorded.
Code to gen…
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- [x] API update
- https://gitlab.com/datadrivendiscovery/ta3ta2-api/-/blob/devel/HISTORY.md
- [x] update core package version to 2020.5.18
- https://gitlab.com/datadrivendiscovery/d3m/-/tags
…
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When using algorithms internal early stopping fitting is much faster. Please use internal early stopping if possible for algorithms. We can disable learning curves. We can produce learning curves for …
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Using the README's example, a simple AutoML pipeline seems to fail and not go all the way:
```
Create directory AutoML_1
AutoML task to be solved: binary_classification
AutoML will use algorithms:…
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switch off convergence warning
```py
Increase the number of iterations (max_iter) or scale the data as shown in:
https://scikit-learn.org/stable/modules/preprocessing.html
Please also refer to…