Auto_ViML

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I found this error with saving output files to disk. Maybe a sanitization function for the target should help. Thanks, Daniel ``` Saving predictions to .\Avg_Quadrat_Yield(t/ha)\Avg_Quadrat_Yield(t/ha)_Regression_test_modified.csv Error: Not able to...

Daniel-Trung-Nguyen

Training model errors out without context/stacktrace.

1

``` Training regular model first time is Erroring: Check if your Input is correct... --------------------------------------------------------------------------- TypeError Traceback (most recent call last) in 12 Stacking_Flag=False, 13 Imbalanced_Flag=False, ---> 14 verbose=0, 15...

r0bb23

Sample Weight Support for Regression Problems

3

First want to say thank you for the very interesting looking library. I've tried it briefly, and gotten very strong performance. I wanted to ask whether it would be possible...

kmedved

groups in cross validation?

2

I would like to use the group params in the cross validation like in sklearn ? Is it possible to do so ? Otherwise, thank you for your package, this...

crsegerie

on the data science bowl the class colors on the first and 2nd plot do not match the third

morenoh149

How do you use the saved model? How do I get the transformations during the training for predictions later on?

miggytrinidad

m, feats, trainm, testm = Auto_ViML(train, target='Exited',test=test, sample_submission=sol, KMeans_Featurizer=False, hyper_param='RS',feature_reduction=True, Boosting_Flag='CatBoost', Binning_Flag=False, Add_Poly=0, Stacking_Flag=False,Imbalanced_Flag=False, GPU_flag=False, verbose=2) ==================== System Information ==================== System: Linux Node Name: 852e2a997c18 Release: 5.15.133+ Version: #1 SMP...

GDGauravDutta

Fixing a couple broken imports: - `imbalanced_ensemble` -> `imbens` - `scipy.interp` -> `numpy.interp` - `scipy.interp` has been removed as of scipy version 1.12 in favor of `numpy.interp`

ViridianMelody