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Request for project inclusion in scikit-learn-contrib
* Project name: Splinator
* Project description: Probabilistic Calibration with Regression Splines
* Authors: Affirm
* Current repository: h…
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### The Issue
We have altered `dna/database_to_json.py` to now pull its data from a local mirror of the D3M Metalearning Database. The data in that database has a little more variety than the data …
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Some models like the `LogisticRegression` effectively call the same engine in the background (e.g.: a BFGS optimiser) but then process and interpret the output differently:
- as a mere number that …
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We have linear regression but from what I can see we don't have linear discriminant analysis which is the equivalent algorithm for classification. We even have the iris dataset which was created to de…
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I pushed the following text to the new repo:
This book introduces Bayesian data analysis and Bayesian cognitive modeling to
students and researchers in cognitive science (e.g., linguistics,
psych…
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Hello there, there are a few other approaches to this that I have seen and wondered if they are on your radar.
Bellman Conformal Inference (BCI) - optimises prediction intervals for time series …
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Hey!
Let me begin by thanking y'all for a fantastic package!! I was wanting to use tpot for finding a good sklearn pipeline with [ngboost](https://github.com/stanfordmlgroup/ngboost) as the final e…
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Similar to #695 (closed). In the original discussion, participants did not seem to understand the difference between "learning-to-rank" and "ordinal classification". "learning-to-rank" produce relativ…
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I test the following code:
[TFP Probabilistic Layers: Regression
](https://colab.research.google.com/github/tensorflow/probability/blob/master/tensorflow_probability/examples/jupyter_notebooks/Pro…
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I'm going to log my activities regarding probabilistic programming languages on this issue page.
This will lead to a new BNN model using a more powerful Python library, i.e. **Pyro**.
I'll also put…