Troubleshooting & FAQs
This page is frequently updated with the most common questions we receive from community members. If you can’t find answers to your questions here, please refer to our community Slack channel before contacting us at support@bitfount.com.
Logging In
Why do I have to log in twice each time I attempt to submit a task?
Bitfount takes security seriously. Part of our no-trust approach to data analysis is ensuring you both validate you have the appropriate authorisation to the Pod you are executing against AND to perform the task you are attempting to execute. This means you must verify the device twice each time you attempt to execute a task.
Why have I gotten locked out of my account?
Bitfount will not lock you out of your account as a result of activity you take while using the platform. If you are having trouble logging in, reset your password, go to the login page and click "Forgot your password?".
Installing Bitfount
Mac OS M1
Why can’t I use the pip and python commands as outlined in the guide?
Bitfount is supported on an older version of python than python3, which is the latest version and is compatible with Rosetta. In order to make this work with Rosetta, just append 3
to the python commands like so: pip3 ...
.
Running Pods
Which file formats does Bitfount support?
See Preparing to Connect Data.
Which database types does Bitfount support?
See Preparing to Connect Data.
What should I do if Bitfount doesn’t support my data, file, or database type?
Please provide feedback to us if you'd like us to consider including a DataSource as a default DataSource. Otherwise, you are welcome to develop your own custom DataSource. Please see Using Custom Data Sources for more details.
I followed the YAML format in the guides, but creating my Pod didn’t work! What do I do?
First, check that you are running the latest version of the Bitfount package by running pip freeze and finding bitfount. The latest version can be found here. If your version does not match, upgrade by running:
pip install bitfount --upgrade
Try again with your YAML file. If this still does not solve the problem, please reach out to us on Slack in the #support channel.
Training Models
Why am I getting a permissions or policy error when trying to train my model?
It's possible your targeted Pod is not set up to allow you to execute the desired task. Check:
- You have the appropriate role permissions to execute your task on the Pod's profile page.
- You are not running into Pod policy conflicts as a result of the permissions on your role or the Pod.
If you need additional permissions, you can make a request on the Pod's profile page and notify the Pod owner.
Report Bugs & Product Feedback
Please report bugs and feedback in our community Slack channel in #support.