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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Tourist Destination Recommendation System
:red_circle: **Aim** : Implement a recommendation system to suggest tourist …
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Microsoft pre-released the Explainable Boosting Machine 2 weeks ago:
https://github.com/microsoft/interpret
It has very promising performance profile
| Dataset/AUROC | Domain | Logistic Regr…
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I have a very large dataset (7 million rows, 54 features) that I would like to fit a regression model to using XGBoost. To train the best possible model, I want to use BayesSearchCV from scikit-optimi…
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Improve the description of pipeline.
from this:
```
>>> from evalml import AutoMLSearch
>>> automl = AutoMLSearch(X_train=Xy_3.drop(columns='target'), y_train=Xy_3.loc[:,'target'],
…
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# Tune XGBoost with tidymodels and #TidyTuesday beach volleyball | Julia Silge
Learn how to tune hyperparameters for an XGBoost classification model to predict wins and losses.
[https://juliasilge.c…
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Hello, I noticed that the "GPU Support" section of the XGBoost documentation has recently been updated to exclude the table of objective functions with GPU implementations.
From the previous docum…
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How is the shap values for multi output regression for Kernal Explainer is calculated? Are the individual outputs considered separately when calculating the shap values of the features? Or are all the…
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Hi,
I was trying to execute the [Regression in Machine Learning hands-on](https://training.galaxyproject.org/training-material/topics/statistics/tutorials/regression_machinelearning/tutorial.html) b…
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The Criteo dataset is a 1TB dump of features around advertisements and whether or not someone clicked on the ad. It has a both dense and categorical/sparse data. I believe that the data is freely av…
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Its my first time with eli5 and i have only problems...
Thanks to one issue here i could solve the first one, but now there is another
I fitted a XGboost regression (with GPU usage) and then tri…