Description Usage Arguments Value Examples
This function fetches code chunks from a vector of urls (where
code is assumed to be tagged <pre>
, <code>
or <textarea>
).
The function uses a pretrained random forest classifier to calculates the
probability that the code is R, Python or neither.
1 |
url |
Either a character vector containing urls, or a list containing
|
show_progress |
Boolean flag, defaults to |
A tibble containing the probability that the input url contains R
code (column r
), Python code (column py
) or another code type
(column other
). If no code can be found the probability vector will
be 0. If there are problems fetching data from a url, the NAs will be returned
instead of classification probabilities.
1 2 3 4 | # not run:
# rorpy("https://google.com") # no code here...
# rorpy("http://dplyr.tidyverse.org") # 99\% sure it's R.......
# rorpy("https://keras.io") # also about 99\% sure it's python
|
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