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Can we add some random values/treat them as ""null"" for missing data. So that we can avoid error in during data exploration using :
hist = ClassHistogram().explain_data(X_train, y_train, name = 'Tr…
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This is an issue to track who is using Kokkos. If you have an app you are working on feel free to add it below, if you are willing to be listed. We will put this eventually on our upcoming website.
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1. [1st Place Solution to Google Landmark Retrieval 2020](https://storage.googleapis.com/kaggle-forum-message-attachments/978542/16699/1st_Place_Solution_to_Google_Landmark_Retrieval_2020_modified.pdf…
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Hi Scott,
First off, thanks for the work you've done on SHAP. I think it'll definitely help people get more comfortable with ML model results and make them mainstream.
I came across the followin…
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I'm possibly doing something a bit naive, but i just wondered if there was interpretation functions available for spline based models like you get with mgcv in R.
```python
import pandas as pd
i…
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## Keyword: efficient
### End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs
- **Authors:** Javier Campos, Zhen Dong, Javier Duarte, Amir Gholami, Michael W. Mahoney,…
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**Submitting author:** @gavinsimpson (Gavin L. Simpson)
**Repository:** https://github.com/gavinsimpson/gratia
**Branch with paper.md** (empty if default branch): joss-paper
**Version:** v0.9.2
**Edit…
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```
R version 4.4.1 (2024-06-14) -- "Race for Your Life"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: powerpc-apple-darwin10.0.0d2 (32-bit)
> library(testthat)
> libr…
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Estimation of generalized additive models can be done quickly using discretization of covariates in the `bam` function in the `mgcv` package.
Prediction from `bam` models can be speeded up by spec…
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I am trying to fit a Gamma model to a reaction time data (there is a recent paper that argues for not transforming RTs and using GLMM with Gamma or Inverse Gaussian --> http://journal.frontiersin.org/…
hikea updated
5 years ago