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I’ve created a modified version of `yardstick::f_meas` where `beta = 0.2` to use in the tuning process. It works fine but when I try and use `tune::show_best` on the results I get an error to please c…
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Thank you for your great library! I wanted to benchmark the EGO implementation on common test functions such as Ackley, Rastirigin, Himmelblau and so on and ran into the following error by running:
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Hello,
I'm using the Latin Hypercube Sampling algorithm available in your toolbox. Is there a way to set a random seed for repeatability? I've tried setting a seed in a manner similar to the example …
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I did a sampling on a first interval and I would like to add more points. I have a condition is to take as arguments the precedent points to complete the first sampling. I don't really know/found how …
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This Issue is a space to add notes on discussions for better user-experience ideas. The main task items are summarized below:
Tutorials and Documentation
- [x] Clarify the use of models as modul…
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## The problem
I'm having trouble with tune_grid not using the parallel backend from doParallel. I had to make the concrete data a bit bigger to really make sure that it wasn't using the backend, b…
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I tried to custom a metric following the steps on yardstick here: https://yardstick.tidymodels.org/articles/custom-metrics.html, but unfortunately I failed to find a solution for my problem.
``` r
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ghost updated
3 years ago
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We should have some `suggest()` functions that, given some data information, will print out a scaffold for recipe and model object definitions.
For example, `suggest_glmnet(Sepal.Length ~ ., data …
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It would be nice if we could specify values to initialize with. I'm using the `BayesianOptimization` method to optimize the hyperparameters for a machine learning model on a very large dataset. As a r…
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Hi,
I am not sure where I am going wrong. When I run the following all models within the tuning grid are failing. I get this warning message: '**All models failed in tune_grid()**'. Any help will be…