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Currently sklearn is only used in isotonic regression when `functional="mean"`. This is because the sklearn implementation is about 4 times faster than implementing it ourselves.
Recently scipy add…
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### Reason/inspiration (optional)
We would like a new entry on the `Isotonic Regression` concept under Sklearn. The entry should go in a new file under `docs/content/sklearn/concepts/isotonic-regress…
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Hello !
By testing the `isotonic` method from this package and comparing it with a custom implementation, I faced some strange behaviours.
First, the output seems to always be ordered, regardles…
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Hi,
I have generated a synthetic dataset in python and compared python implementation of Isotonic Regression (scikit-learn) vs julia (MultivariateStats.jl).
The python script is : https://gist.githu…
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Currently data is brought into memory in the isotonic regression calculation. We should see if we can avoid this.
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[Isotonic Regression](https://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/isotonic-regression.html)
[AdaBoost](https://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/adaboost.html)
[SVM…
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### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `Calibrate…
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`ModuleNotFoundError Traceback (most recent call last)
in
----> 1 import ecopy
~/Downloads/ecopy-master/ecopy/__init__.py in
2
3
----> 4 from .regression…
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I am converting a pyspark trained model to ONNX format. More specifically, it's the pyspark.ml.regression.IsotonicRegressionModel. I get an error saying
`KeyError: 'pyspark.ml.regression.IsotonicReg…
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**Is your feature request related to a problem? Please describe.**
Honest sampling in forests was first outlined by Breiman et al. 1984 in Classification and Regression Forests, in which it was sug…