modAL

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Currently the library support sklearn (scikit-learn) estimators. How can I make it work for pyspark.ml.classification estimators. The example https://www.databricks.com/blog/2020/01/16/better-machine-learning-through-active-learning.html again uses pandas and scikit-learn based estimators, making it difficult to...

peeyushsinghal

I am facing "oom_kill event in StepId=866679.batch. Some of the step tasks have been OOM Killed." while using avg_confidence strategy for my multilabel dataset with around 38000 images of size...

shubhamgp47

Hello, I am currently using the modAL library to develop active learning strategies. My project involves multi-class classification implemented with PyTorch, utilizing DinoV2 as the backbone model. I have encountered...

shadikhamsehh

M-alt123

I am using modAL for an active learning project in multi-label classification. My implementation is in PyTorch, and I use DinoV2 as the backbone model. For the same dataset, I...

shadikhamsehh

Broadcasting error in avg_score

1

I get the following error with avg_score multilabel strategy - File "C:\Users\localuserSKSG\anaconda3\envs\alenv\lib\site-packages\modAL\models\base.py", line 175, in query query_result, query_metrics = self.query_strategy( File "C:\Users\localuserSKSG\anaconda3\envs\alenv\lib\site-packages\modAL\multilabel.py", line 258, in avg_score classwise_scores = classwise_confidence*(classwise_predictions-1/2) ValueError:...

shubhamgp47

Hi, was just wondering if this project is still being actively maintained?

mseflek