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mlworkbench

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TigerGraph ML Workbench

Requirements

  • JupyterLab >= 3.0

Install

To install the extension, execute:

pip install tigergraph_mlworkbench

Uninstall

To remove the extension, execute:

pip uninstall tigergraph_mlworkbench

Contributing

Development install

Note: You will need NodeJS to build the extension package.

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the mlworkbench directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run build

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the jlpm run build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

jupyter lab build --minimize=False

Development uninstall

pip uninstall tigergraph_mlworkbench

In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named mlworkbench within that folder.

Packaging the extension

See RELEASE

Metadata

Release files for tigergraph-mlworkbench 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tigergraph-mlworkbench 1.0.0
File Size Uploaded Provenance
tigergraph_mlworkbench-1.0.0.tar.gz 151.6 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for tigergraph-mlworkbench 1.0.0
File Interpreter ABI Platform
tigergraph_mlworkbench-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 202.9 kB

Release files / tigergraph_mlworkbench-1.0.0.tar.gz

Download URL tigergraph_mlworkbench-1.0.0.tar.gz
Size 151.6 kB
Tags Source
SHA-256 checksum
How to use checksums
973340e334794b02cf9e8c3b77003f1e491c24c966e2215f565b946db743d98d
BLAKE2b-256 checksum
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953d058f111b3b35cb1d709ee924abd0546ba785a33d260e06e2cf05c00c92ad
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No
Uploaded via twine/4.0.1 CPython/3.10.4

Release files / tigergraph_mlworkbench-1.0.0-py3-none-any.whl

Download URL tigergraph_mlworkbench-1.0.0-py3-none-any.whl
Size 51.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
8ceac67a0d66d841988eb60dd9e2f2efc147ef57bcbb922ee57aea87a72023fe
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12913747dca72b26a1055f7a704618369b8838f1f6828bebfad74d7884b9005a
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No
Uploaded via twine/4.0.1 CPython/3.10.4

Security for tigergraph-mlworkbench 1.0.0

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