I know google scholarly is blocking my request to get citation. The workaround suggested by the scholarly package's author is to use proxies - https://pypi.org/project/scholarly/. But I tried to follow the procedure start importing the from scholarly import scholarly, ProxyGenerator and I get the error attached. I went to the scholarly file in site package and I could not find it. How do i resolve this problem?
error received
Related
I am getting the following error message when trying to install packages since updating to R 4.2.2:
> install.packages("dplyr")
Warning in install.packages :
unable to access index for repository http://cran.csiro.au/src/contrib:
cannot open URL 'http://cran.csiro.au/src/contrib/PACKAGES'
I have seen this is a reasonably common problem and have tried the common solutions being shared, including trying different CRAN mirrors and unticking the "Use secure download method for HTTP" option. This is a work computer, so I am aware that company firewalls can potentially block repository access. However, I have had IT allow the repository URLs to bypass our firewall and check the firewall logs, which has shown no issues.
Any other solutions for this issue would be greatly appreciated. Thanks in advance!
I am using a package MMM-GoogleAssistant found here I got the credentials required and created a project on Google and I am intended to use it on my raspberry Pi.
I ran the command npm run token and the output was the following: output.
I followed the link and the output is as follows: error message
I have attempted for a while to resolve this issue but all answers and all resources did not help to resolve the issue. Is there anyone able to help with this issue?
Thank you in advance
I use R pretty often and I have noticed that while checking any package's documentation at RDocumentation.org, some pages have errata so I'd like to help fix them if possible. I can't find any way to contact the website team. Any ideas?
I believe RDocumentation.org scrapes its information directly from CRAN/GitHub sources of packages, so it makes more sense to try to contact the package maintainers upstream.
Contributed packages
if a package is on GitHub, you can
fork the repository, fix the documentation errors yourself, and submit a pull request
record a GitHub issue (if there is an open issues list)
you might want to check to see if there is a README about contributions to see what the maintainers prefer
if the package is on CRAN, you can go to its CRAN page (e.g. here) and see if there is a development URL or BugReports: field in the description
if all else fails, the maintainer's e-mail is always available via maintainer("pkg_name")
Base packages
If you find documentation errors in packages that are maintained by R-core (unlikely but possible), you should probably start a discussion on the r-devel#r-project.org mailing list. Alternately, you can request write access to the R bug tracker (see here).
I am facing the below Issue while installing the packages in Rstudio
Warning: unable to access index for repository https://cran.rstudio.com/src/contrib:
cannot open URL 'https://cran.rstudio.com/src/contrib/PACKAGES'
So the problem is with the URL. Note that if you check the PACKAGES URL that it’s failing to access, This problem is often the result of proxies, firewalls, or other traffic filtering software blocking R from accessing remote URL
Try disabling your firewall/anti-virus
Giving R studio access to the firewall etc.
Have a look at the link below. Multiple, possible solutions are provided to the above described problem.
https://support.rstudio.com/hc/en-us/articles/206827897
I am trying to train a TensorFlow/Keras/TFRuns model and tune hyperparameters on Google Cloud ML. I wish to do this starting from my laptop, and follow the example here:
https://blogs.rstudio.com/tensorflow/posts/2018-01-24-keras-fraud-autoencoder/
The issue is that because I have installed some packages from resources outside of CRAN (i.e. SparkR, assertthat, aws.s3, et. al.) I keep getting an error stating "Unable to retrieve package records for the following packages: ...<<some package goes here>>"
I only need to have a few packages to follow the example in the link above. I am wondering if there is a way to ask Google Cloud ML to use only a specific subset of all my installed packages? Would it be better for me to setup some sort of virtual environment for R? If so, is there a link to a "How-To" guide I could follow? Should I try to do this in Docker? I'd love to be able to follow this example. I'm hoping someone can point me in the right direction.
Thank you in advance for any help.
All the best,
Nate
You can stage these dependencies on GCS and provide URIs in the job request. Check out this section in the public doc.