Error running install_aif360() on Windows 8.1

[FrieseWoudloper]

After I install en load aif360 from Github on my Windows machine, I get an error:
Error: Installing Python packages into a virtualenv is not supported on Windows

[FrieseWoudloper]

When I install from CRAN, I get the same error.

[nrkarthikeyan]

@FrieseWoudloper please provide more details. @gdequeiroz ^^^

[FrieseWoudloper]

Information about my configuration. Which additional information do you need?

R.Version()

$platform [1] "x86_64-w64-mingw32" $arch [1] "x86_64" $os [1] "mingw32" $system [1] "x86_64, mingw32" $status [1] "" $major [1] "3" $minor [1] "6.3" $year [1] "2020" $month [1] "02" $day [1] "29" $svn rev [1] "77875" $language [1] "R" $version.string [1] "R version 3.6.3 (2020-02-29)" $nickname [1] "Holding the Windsock"

packageVersion("aif360") [1] ‘0.1.0’

[FrieseWoudloper]

Because I ran the install on a Windows 8.1 laptop with R version 3.6.3, I thought I'd give it a try on a Windows 10 laptop with the latest stable R version. I also decided to run R with administrative privileges. I executed the following code:

install.packages('aif360')
library(aif360)
install_aif360()

When the system asked me to install Miniconda, I said 'Yes'. I didn't get an error this time, only a warning telling me that I should add %USERPROFILE%\AppData\Local\R-MINI~1\envs\R-RETI~1\Scripts to my PATH variable, so I did.

Subsequently I executed load_aif360(). This also generated an error:

2020-09-25 12:57:11.356581: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_100.dll'; dlerror: cudart64_100.dll not found
2020-09-25 12:57:11.357097: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
WARNING:root:No module named 'numba.decorators': LFR will be unavailable. To install, run:
pip install 'aif360[LFR]'

I ignored the warning and executed this line of code:

ad <- adult_dataset()

An error was returned:

Error in py_call_impl(callable, dots$args, dots$keywords) : SystemExit: 1 
3.
stop(structure(list(message = "SystemExit: 1", call = py_call_impl(callable, 
    dots$args, dots$keywords), cppstack = NULL), class = c("Rcpp::exception", 
"C++Error", "error", "condition"))) 
2.
datasets$AdultDataset() 
1.
adult_dataset() 

Please inform me on any addition information you need or solutions I should try.

[FrieseWoudloper]

Executing R.Version() gave me some interesting information

$platform
[1] "x86_64-w64-mingw32"

$arch
[1] "x86_64"

$os
[1] "mingw32"

$system
[1] "x86_64, mingw32"

$status
[1] ""

$major
[1] "4"

$minor
[1] "0.2"

$year
[1] "2020"

$month
[1] "06"

$day
[1] "22"

$`svn rev`
[1] "78730"

$language
[1] "R"

$version.string
[1] "R version 4.0.2 (2020-06-22)"

$nickname
[1] "Taking Off Again"

IOError: [Errno 2] No such file or directory: '%USERPROFILE%\\AppData\\Local\\r-miniconda\\envs\\r-reticulate\\lib\\site-packages\\aif360\\datasets\\..\\data\\raw\\adult\\adult.data'
To use this class, please download the following files:

	https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.data
	https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.test
	https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.names

and place them, as-is, in the folder:

	%USERPROFILE%\AppData\Local\r-miniconda\envs\r-reticulate\lib\site-packages\aif360\data\raw\adult

I downloaded the adult.* files and put them in the directory mentioned above. I executed the code again:

ad <- adult_dataset()

This time I only got this warning:

WARNING:root:Missing Data: 3620 rows removed from AdultDataset.

So I guess it is working fine now. Could you confirm that?

Upgrading R on my Windows 7 laptop, and installing + running R with administrative privileges didn't solve the problem on my Windows 8.1 laptop. When I execute the following code:

library(aif360)
install_aif360()

I still get this error:

Error: Installing Python packages into a virtualenv is not supported on Windows

So maybe I should just accept that it is not going to work on my old laptop?