pipcook

• 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.

This is the pre-release for official 1.0 version.

0.5.4 (2020-04-24)

Note: Version bump only for package @pipcook/plugins-bayesian-model-evaluate

0.5.4 (2020-04-24)

Note: Version bump only for package @pipcook/plugins-image-classification-tfjs-model-evaluate

0.5.4 (2020-04-24)

Note: Version bump only for package @pipcook/plugins-object-detection-coco-data-collect

0.5.4 (2020-04-24)

Note: Version bump only for package @pipcook/plugins-bayesian-model-train

0.5.4 (2020-04-24)

Note: Version bump only for package @pipcook/plugins-object-detection-detectron-model-train

0.5.4 (2020-04-24)

Note: Version bump only for package @pipcook/plugins-mnist-data-collect

0.5.4 (2020-04-24)

Note: Version bump only for package @pipcook/plugins-bayesian-model-define