-
When training, the first few models seem to utilize multiple cores, but starting with Catboost, it seems to default to one core in version 0.10.6. This did not appear to be an issue before I updated t…
-
Code to reproduce the error
```
df = pd.read_csv('/home/shahul/Downloads/train.csv.zip').sample(10000)
y = df['target']
X = df.drop(['target'],axis=1)
a = AutoML(total_time=30,tuning_mode="Nor…
-
```
============================= 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…
-
Hi I am trying to use a mapie regressor on top of a trained xgboost model trained using mljar.
This is what I am doing
```
automl = AutoML(results_path ="AutoML_1) # this will load the best perfor…
-
There are several evaluation metrics that would be particularly beneficial for (binary) imbalanced classification problems and would be greatly appreciated additions. In terms of prioritizing implemen…
-
Hi, is it possible to send parameters to a specific model? I am currently just using lightgbm and would like to set the following:
`
is_unbalance=True`
Thank you
-
Hi @pplonski
I use mljar-AutoML to run a medical dataset (task mission:binary_classification).
Mode selected=explain mode
metric_type=accuracy
The results seems abnormal as figure below...
![ima…
-
```
============================= 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…
-
How can I obtain the cross validation scores that were obtained during the call to `fit()`?
E.g.:
```python
from supervised.automl import AutoML # mljar-supervised
automl_se…
-
As requested on
[https://github.com/mljar/mercury/issues/299](url)
> I also try to access django admin and get CSRF verification failed even though new to django I improvised a change on mercur…