A simple cli utility to generate ML project structure for quickly starting ML projects
Project description
Project Structure for MLflow integrated ML Projects
This cli tool generates the following directory structure for quickstart ML projects
installaton:
pip install nextai
example use:
nextai create mytestproject
It generates the project with following structure
Project
|
+--- Input
| |
| +--- raw Raw data here
| |
| +--- interim Any intermediate data, to pause and continue experiments
| |
| +--- processed Processed data ready for ML pipeline
|
+--- output
| |
| +--- models Model pickle or model weights stored here
| |
| +--- artifacts Serialized artifacts like LabelEncoder, Vectorizer etc
| |
| +--- images All plots and visualizations goes here
| |
| +--- Results If the results needs to be stored for review, save here
|
+--- notebooks All notebooks and experiments resides here
|
+--- src Final program, with training and prediction pipeline
|
|
README.md Description and instruction about the project
nextai MLflow project file. If you want to use this directory as MLflow project
Requirements.txt python dependencies
Config.yml configuration key values in yaml format
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nextai-1.0.0.tar.gz
(3.7 kB
view hashes)
Built Distribution
nextai-1.0.0-py3-none-any.whl
(4.9 kB
view hashes)