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In about a week I will retire from work, so from then on I could look more closely into these issues. But I think we are already on the right track!
A question: should we do all our communication v…
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### Describe the bug
We implemented Decision Tree classifiers for a graduate course in Machine Learning. Part of my test suite compares the performance of my `DecisionTree` to the `sklearn.Decision…
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### Describe the bug
Not sure if `check_estimator` is appropriate to use with transformers, but `ColumnTransformer` inherits from `BaseEstimator`, so I'm assuming so.
I have a custom transformer…
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### What is the motivation for this task?
1. In first case, you used ground truth for all the models and in that case, if we look research paper, some models are unsupervised. Based on your code ex…
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**Describe the bug**
I have tried using lazypredict for classification algorithms. However, when I run a certain model manually, it provides different performance metrics.
Have attached images us…
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sklearn classifiers have a predict. Most classifiers have a `predict_proba` or `decision_function`. One ought to be able to set a threshold on these to make a prediction.
This is useful for example i…
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I think there is some additional data that needs to be included in the tracking state message.
- FPS
- BGS being used
- Tracker being used
Do we need bgs and tracking parameters as well?
Th…
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## Keyword: differential privacy
### State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
- **Authors:** Chaoyu Zhang
- **Subjects:** Cryptography an…
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On a fresh install of MLJar, I get the following error when launching `automl.predict`.
Xgboost has introduced a version 2.0, 11 hours ago on Pipy.
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I've got a bunch of compute the next couple weeks and thinking to train this on LAION.
Wondering if there is any other training going on right now. Would hate to duplicate efforts too much.