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Hello,
Yestarday I installed yardstick and I was using it for a classification problem I am working with. I have no more than 400 hundred categories to classify.
I was using the precision and r…
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I often find myself having a large tibble of predictions from different models. If I want to use `yardstick` to compute metrics per-model, the experience is a bit rough:
``` r
library(dplyr)
#>
…
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I have downloaded the most recent version of rfcat. When I connect both my PandwaRF and Yardstick one it goes right into the command prompt and does not give me a welcome message.
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## The problem
I'm tryng to do one row prediction with `linear_reg()` models, with the default engine it works, but with `glmnet` do not.
## Reproducible example
``` r
library(tidyverse)
li…
ghost updated
3 years ago
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I'm working on developing an experimental package, `modeltime`, that ports some of the time series models into the `tidymodels` framework.
## Problem Statement
When trying to run `tune_grid()` on…
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Definition:
https://en.wikipedia.org/wiki/Mean_absolute_scaled_error
See also the Scale Free Errors section of:
http://datascienceassn.org/sites/default/files/Another%20Look%20at%20Measures%20of%…
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This is more of a `parsnip` issue but the problem shows up here.
If a model has a fixed parameter, `min_grid()` breaks
``` r
library(tidymodels)
#> ── Attaching packages ─────────────────────…
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Hi I recently started switching my workflow from h2o to the tidymodels packages and I have come to rely heavily on models that impose monotonic constraints, I am currently using the xgboost because of…
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The data isn't very large (568,454 short documents). Is there a way to avoid the limit that it is running into?
Sorry for the large-ish reprex but that's the only way I know to reproduce the "too bi…
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Hi, I'm trying to use the distributed R capabilities with `registerDoSpark()` and `tidymodels`. I'm getting success on smaller datasets, but when I use a larger dataset as an example, I end up running…