Pipcook Versions Save

• working on new macOS BigSur
• bugfixes

The following is what exactly we want Pipcook v1 looks like:

We will introduce a new and unified layer for end-user that's so-called "Pipcook ML App", its goal is to simplify the developing machine learning applications, for more details you can go #33.

Now Pipcook is to be runtime for building ML applications, rather than a Node.js library. So we also make original pipcook-core to be a Daemon Process, it's used to operate plugins, and manage Pipelines via a new declarative language Pipeline IR.

To make sure what every plugin could run in more safety and powerful, Pipcook v1 is also to add the Plugin Runtime, which should be a standalone process/thread (via configuration), and there are the followings for plugin developers:

• ML API: it's the low-level machine learning APIs.
• Builtin Tensorflow.js library.
• Python APIs via Node.js lets you call other Python functions in JavaScript seamlessly.