A GUI for NLU pipeline configurations and model training for Rasa Conversational AIs.
Project description
RASA Codeless 0.0.1a1 Release
RASA Codeless provides a GUI for NLU pipeline configurations and model training and evaluation for Rasa Conversational AIs.
Features
- Allows configuring, training, and evaluating RASA models efficiently through a React based UI
- Fully supports rasa 2.8.x projects
- Provides an easy-to-use CLI
- Provides an efficient server-based GUI
- Requires minimum machine learning expertise and RASA framework specific knowledge
What's Cooking?
- Generating loss curves for model evaluation
- Training data management
- Learning curve insights
Limitations and Known Issues
- Does not support early stopping
- Training ETA not available
- Evaluations are limited to DIET Classifier
📒 Docs: https://rasa-codeless.github.io 📦 PyPi: https://pypi.org/project/rasac/0.0.1a1/ 🪵 Full Changelog: Refer the relevant GitHub branch (v0.0.1a1)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
rasac-0.0.1a1.tar.gz
(1.6 MB
view hashes)