Hi all,
I'm new to conda. We want to build conda packages to install them in the VMs.
For example we want to have a package specifically for xgboost users. We want have these in the package:
papermill
pandas
pandas-profiling
plotly
requests
scikit-learn
scipy
google-api-core
urllib3
scikit-learn
"xgboost==1.1.1"
After building a new package which contains all above, we have a new package named xgboost-test-1.0.20221206-py37_0.tar.bz2.
Then there are two way I figure out to install:
1. Copy the whole folder which has linux-64/ and noarch/ to the new environment and run `conda install -c /path/to/channel/linux-64 xgboost-test`
2. Only copy the new package to channel/linux-64 in a new folder, use `conda index channel/` to setup a new channel, and install it using `conda install --use-local -c /path/to/channel/linux-64 xgboost-test`
Is there any other way I can only move this new package to another computer and install it over there? The two way I know are not idealistic to me. I don't think it's convenient to setup a channel every time. I thought there is a way which I can simply install the new package file, that's more quick and straight forward.
Thanks for your help!
Best regards,
Tyler