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Hello,
thanks for putting out this package. It seems very usable/promising.
I'm using the 0.11.5 version mljar-supervised from conda-forge.
One little question: after giving it a shot, I wanted…
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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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```
============================= 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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Hello Piotr !
Great library so far I've been enjoying trying out MLJAR, however I am wondering why are we using the threshold (binary classification case) leading to the highest accuracy to compute…
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Here's the code
import pandas as pd
from sklearn.model_selection import train_test_split
!pip install AutoML
!pip install mljar-supervised
from supervised.automl import AutoML
df = pd.read_csv…
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Hi,
I think that there are some elements that creates confusion (at least to me) between different sets in mljar.
One example are graphs created by mljar:
![image](https://user-images.githubuser…
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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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I'm sorry if this question is trivial. I tried to load one of the saved models (e.g. learner_fold_0.catboost ) in order to get some insights into the model. I tried to import as json but it didn't wor…
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I am training quite a lot of models and this library does help me a lot!
Unfortunately the model folder gets quite big after going through some interactions.
Is there a way to only save and load the…
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In order to reduce overfitting, I would like to ask for a new parameter: "n_repetitions". This parameter sets the number of complete sets of folds to compute for repeated k-fold cross-validation.
C…