healthcareai-r
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HealthCatalyst
R tools for healthcare machine learning
Hi, I'm getting an error while using the data_prep and machine_learn function - `step_meanimpute()` was deprecated in recipes 0.1.16. Please use `step_impute_mean()` instead. It used to be a warning but...
recipes 1.0.0 will go to CRAN around June 13th and there are some errors here from using deprecated functions. The PR also fixes some ggplot2 warnings by using the suggested...
Hello 👋 In the most recent [CRAN release](https://cran.r-project.org/web/packages/recipes/index.html) of {recipes}, we took the first step towards [updating the printing infrastructure to use {cli}](https://github.com/tidymodels/recipes/issues/426). This means that in order for your...
The function machine_learn outputs models with wrong reference levels for factors. This code ``` library(dplyr) library(healthcareai) sino
I have been unable to supress comments to console with either : capture.output invisible() or sink() It appears as if you guys were engraving the comments to console in stone...
Are you planning on adding the ability to add weights to the models in a simple way?
Hi guys :) It seems tibble 3.0 has broken a way that healthcareai uses recipes. Here's a simple reprex with the error when the outcome is absent and success when...
Hi there Please advise how to fix this error. Thanks. The problem: When run machine_learn() >> > quick_models
Only the warning from `prep_data` should be surfaced. ``` r suppressPackageStartupMessages(library(healthcareai)) data.frame(x = letters, y = 1:26) %>% prep_data() #> Warning in find_columns_to_ignore(d, c(rlang::quo_name(outcome), ignored)): #> The following column(s) have...
Say there is a test that is rarely administered. The results are in a column that is 80% null. The value may not be as important as simply having the...
