[Resolved] Issues installing in Conda environment

Hello @giovanni.circo ,

Welcome to SDV Enterprise. We’re happy to have you in our invite-only support forum and we’re excited to see what kind of value synthetic data will bring for you.

Let’s get started! Please reply below to confirm whether you have successfully installed SDV Enterprise, or let us know if you need guidance for troubleshooting.

As a reminder: To install SDV Enterprise, you will need your username and license key, which has been sent to you via email (from support@datacebo.com). Please check your spam folder if you have not received it. Once you have this information, please save it in a safe place for future use.

The installation instructions are available in the link below:
https://docs.sdv.dev/sdv-enterprise/sdv-enterprise/installation

Thanks,
The DataCebo team

I am having issues installing this into a conda environment. Specifically, I am receiving an error in validating my credentials despite entering both the specified user name and password:

conda activate synth
pip install sdv_enterprise --index-url https://pypi.datacebo.com --timeout 600
User for pypi.datacebo.com: giovanni.circo@gainwelltechnologies.com
Password: [MY PASSWORD]

WARNING: 401 Error, Credentials not correct for https://pypi.datacebo.com/sdv-enterprise/
ERROR: Could not find a version that satisfies the requirement sdv_enterprise (from versions: none)
ERROR: No matching distribution found for sdv_enterprise

Can I verify whether these credentials have been activated?

Hi @giovanni.circo , yes the credentials were activated when the email was sent.

  1. Can you make sure to put your email address in lower case? The password is the license key sent to your email (lower case).
  2. Does your system meet our technical requirements?
  3. Would be able to try some of the steps on our Troubleshooting Guide? Specifically, you should make sure you are not running macOS in Rosetta mode.

Thank you. This issue has been resolved.

Glad to hear that @giovanni.circo
Could you verify your installation by running this code and providing the output?

import sdv
print(sdv.version.enterprise)

Here’s the output:

0.13.0

@giovanni.circo That is good news! It means SDV Enterprise is correctly installed.

Could you please share what the fix for your issue was? Was the issue related to the email address being in lowercase, an incorrect license key, the environment running in Rosetta mode, or something else?