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I'm using RandomForestLearner to train a 10-class categorization model using roughly 15000 examples and 12 features. My example set is imbalanced in terms of category distribution, so I need to use cl…
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The Felligi-Sunter model calculates weights by comparing the odds of a variable having a value amongst known pairs compared to randomly sampled pairs.
When using this model to evaluate the likelihoo…
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https://blog.tensorflow.org/2021/05/introducing-tensorflow-decision-forests.html
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Hi all,
I am intrigued by the experimental result of Aas, Jullum, and Loland (https://arxiv.org/abs/1903.10464) that TreeSHAP fails to capture covariate dependence in any meaningful way. Do you ha…
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Link to repository with potentially good info on decision trees and random forests:
https://github.com/gregtam/interpreting-decision-trees-and-random-forests
I will look at these resources more cl…
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Your documentation [mentions](https://ydf.readthedocs.io/en/latest/#:~:text=and%20TensorFlow%20Records.-,Serving,-Benchmark%20model%20inference) :
> Run models in Python, C++, Go, JavaScript, and C…
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I've trained a model using RandomForestLearner and now I need to save it to a TensorFlow saved model, so I can convert to a TFLite model, but when I try to do this, the code returns a AttributeError: …
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I'm curious what folks would think about adding use case-specific pages to the Dask docs. Specifically, I was thinking about pages for machine learning and workflow orchestration where there is an esp…
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Hello - as I understand it, Catboost currently only supports CrossEntropy loss for CatboostClassifier. This is somewhat contrary to how other state-of-the-art gradient boosted decision trees operate (…
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Hi Viewer,
I am performing predictions using both `XGBoost` and `Random Forest` models on a dataset, but I consistently observe that the Random Forest model achieves better `R²` scores and `correla…