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It would be useful to have a python script that gathers up all models in a folder and uses them to build an ensemble. This should be possible by taking the results of the training data from the "raw" …
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Ensembling/stacking of classifiers seems to be the winning strategy for most kaggle competitions.
It would be interesting to investigate how to construct an "ensemble" of minimizers and then evaluate…
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@littletomatodonkey
hi, thanks for your great project of paddle partialFC.
and i'm waiting for the update of distributed paddle partialFC .
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Create a drop-in replacement for `GridSearchCV` using [scikit-optimize](https://scikit-optimize.github.io/).
The main benefit here is that `scikit-optimize` can ensure that not all points in the s…
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### Basics
- [x] 1. Intro to R (1) (Part 1)
- [x] 2. Intro to tidyverse (1) (Part 1)
- [x] 3. Data visualization with ggplot2 (1) (Part 1)
- [x] 8. Exploratory data analysis (1) (Part 1)
### …
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When I saw the echo `ODMAP protocol generated` I was quite excited by the idea that it had filled out all the relevant model specific information but it just provides an empty template:
```
mkdir …
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Hi @juliandewit ,
First of all, thank you for your hard work and for releasing the codes. Correct me if I'm wrong but, You said that you trained two models, one is trained on LUNA data set only and t…
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Hi,
My name is Pablo Navarro. Your team and I have already exchanged a few mails over the wonderful paper you've made. Thanks again for the contribution.
Now that the code is released, I have a …
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A user requested to include the ESRNN model (available in previous versions of NeuralForecast). The user tried to use [this](https://github.com/kdgutier/esrnn_torch) version but it does not allow more…
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is there a technique that covers everytjing?
we want to take some scores into probs
maybe this helps
https://pdfs.semanticscholar.org/3fde/0a33bbd1821372d67a6c6051b01367435461.pdf