Skip to main content

Introduction

Quickstart

  1. Setup environment

    conda create -n labelu-ml python=3.7
    conda activate labelu-ml
    
  2. Install labelu-ml

    pip install labelu-ml
    
  3. 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
    
  4. 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)

Source distribution for labelu-ml 0.1.0
File Size Uploaded
labelu_ml-0.1.0.tar.gz 3.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for labelu-ml 0.1.0
File Interpreter ABI Platform
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
734194ac1c240eb59d3beac4f5ecf376986b1901ef9ff4717366dd7f5e3e5d09
BLAKE2b-256 checksum
How to use checksums
f5a0782e941f7f89115725bef79184cf5ef939b9c7b78f64b6823a279b4824cc
Upload date
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

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
de7c08aa768688198914aa0e9aeb553011143c67ae5d3f74127c3e0f908b8cec
BLAKE2b-256 checksum
How to use checksums
d3879f6bd75f7b931ec687ca94707f3fd8213e71bf8007b4471a1525ee21db62
Upload date
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

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page