Introduction
Quickstart
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Setup environment
conda create -n labelu-ml python=3.7 conda activate labelu-ml
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Install labelu-ml
pip install labelu-ml
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Initialize an ML application based on an example path:
labelu-ml init my_ml_app --path labelu_ml/examples/the_simplest_app pip install -r my_ml_app/requirements.txt
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Start ML application server
labelu-ml start my_ml_app
Usage
Command line
$ labelu-ml --help
Usage: labelu-ml [OPTIONS] COMMAND [ARGS]...
╭─ Options ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ --install-completion Install completion for the current shell. │
│ --show-completion Show completion for the current shell, to copy it or customize the installation. │
│ --help Show this message and exit. │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─ Commands ────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ init Initailize an ML app from a example. │
│ start Start ML app server. │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Metadata
Release files for labelu-ml 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| labelu_ml-0.1.0.tar.gz | 3.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| labelu_ml-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.1 kB
Release files / labelu_ml-0.1.0.tar.gz
| Download URL | labelu_ml-0.1.0.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.2 CPython/3.10.6 Linux/5.4.0-128-generic
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Release files / labelu_ml-0.1.0-py3-none-any.whl
| Download URL | labelu_ml-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.2 CPython/3.10.6 Linux/5.4.0-128-generic
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