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This is my setting: dataframe dataset, numerical values, Target is binary classification, I am trying to do feature selectection.
automl = AutoML(
mode = 'Compete',
eval_metric = 'f1',
…
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### Problem
By default scrollbars are not themed (the setting is turned off).
This makes them somehow stand out when using dark themes, for example:
![image](https://github.com/jupyte…
jtpio updated
3 weeks ago
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```
Linear algorithm was disabled.
AutoML directory: AutoML_1
The task is regression with evaluation metric r2
AutoML will use algorithms: ['Random Forest', 'LightGBM', 'Xgboost', 'CatBoost', 'Neu…
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i am using Dask to parallelize few AutoML jobs (checking multiple scenario's at the same time)
i am getting the following error :
`*** Terminating app due to uncaught exception 'NSInternalInconsis…
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C:\Users\tariq\AppData\Local\mljar-studio-updater
Installer.exe is not removed when the entire application is Uninstalled using Control Panel
Why does this exe file remain when all items were uni…
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Hello,
unfortunately I cannot properly use MLJar due to some import error after notebook creation.
It seems like some imports under the hood are not proper (pandas import throwing exception), the …
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If I feed month values as 0,1,2,...,11 will MLJar detect this as continuous or categorical?
Basically I don't want the model to come up with a threshold to separate the months into 2 groups. I want i…
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Digging into the code, it looks like mljar tries various reprocessing techniques on the data, however none of the documentation covers what it attempts.
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Is it possible to get confidence scores in predicting values for regression predictions in mljar-supervised AutoML?
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It's append during google collab session.
mlt=AutoML(mode='Compete',ml_task='binary_classification',algorithms=['Nearest Neighbors'],results_path='/content/drive/MyDrive/caggle_automl')
Thanks
…