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 purrr.tidyverse.org
Map over two inputs - map2 purrr
| | dplyr.tidyverse.org
Keep or drop columns using their names and types select dplyr
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| | Select (and optionally rename) variables in a data frame, using a concise mini-language that makes it easy to refer to variables based on their name (e.g. a:f selects all columns from a on the left to f on the right) or type (e.g. where(is.numeric) selects all numeric columns). Overview of selection features Tidyverse selections implement a dialect of R where operators make it easy to select variables: : for selecting a range of consecutive variables. ! for taking the complement of a set of variables. & ...
| | magrittr.tidyverse.org
Pipe - %>% magrittr
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| | Pipe an object forward into a function or call expression.
| | www.rplumber.io
Add handler to Plumber router - pr_handle plumber
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| | This collection of functions creates handlers for a Plumber router.
| | www.unite.ai
Generative vs. Discriminative Machine Learning Models - Unite.AI
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| Some machine learning models belong to either the generative or discriminative model categories. Yet what is the difference between these two categories of models? What does it mean for a model to be discriminative or generative? The short answer is that generative models are those that include the distribution of the data set, returning a []