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The Podder Task Foundation is a framework designed to ease the development and maintenance of code for running machine learning prediction models. The Podder Task Foundation takes care of the common process other than the prediction model itself in the prediction model code. And it reduces the development load and allowing developers to focus on building prediction models.
Python has web application frameworks that make web development easier, such as Django and Flask, but Podder Task Foundation can be thought of as a Flask for machine learning prediction models. Podder Task Foundation can be thought of as a Flask for machine learning inference models.
Podder Task Foundation has the following features
- Generate Command-line interfaces automatically
- Help to handle file paths
- Help reading from and writing to files
- Simplify the use of temporary files
- Generate Web APIs automatically
In addition, Podder Task Foundation increases the reusability of your model code, and productivity can be further enhanced.
- Create new project
- Directory structure
- Run your code
- Load model files
- Call a process from another process
- Logging
- Import process from the other repositories
- Eject Podder Task Foundation
- Plugin System
- Build HTTP API
Podder Task Foundation is maintained by Nexus FrontierTech