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When I chose `average_precision` as the eval_metric, `automl.fit()` responded with this warning repeatedly:
```py
Failed to optimize method "evaluate" in the passed object:
Failed in nopython mode …
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```
============================= test session starts ==============================
platform linux -- Python 3.12.3, pytest-8.3.2, pluggy-1.5.0 -- /home/adas/mljar/mljar-supervised/venv/bin/python3…
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What is reason that jupyter is Unsupported platform: freebsd12 when want download PDF? ;/
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Hi,
I'm not seeing any shap outputs when using the following:
```
# Initialize AutoML in Explain Mode
automl = AutoML(mode="Explain",
explain_level=2,
ml_task='mu…
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Hello,
Got error while modelling (elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison in jupyter notebook)
I have attached the errors.m…
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The problem:
It is hard to know an adequate total_time_limit for a specific training scenario in AutoML. The time limit depends on data size, training machine capability and algorithms chosen. Selec…
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```
============================= test session starts ==============================
platform linux -- Python 3.12.3, pytest-8.3.2, pluggy-1.5.0 -- /home/adas/mljar/mljar-supervised/venv/bin/python3…
-
```
============================= test session starts ==============================
platform linux -- Python 3.12.3, pytest-8.3.2, pluggy-1.5.0 -- /home/adas/mljar/mljar-supervised/venv/bin/python3…
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**Context:**
* Binary classification dataset with 35 input features and 148,532 records.
* Dataset distribution: 139,917 `class0` and 8,615 `class1` records.
* Preprocessing steps applied (e.g. n…
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Hi @neelmshah,
I've seen that you are using Mercury. I'm the author of the framework. I've recently made a lot of changes to it. I would love to hear your feedback. Do you plan to use Mercury in so…