Skip to main content

Layer AI SDK

Project description


Layer

License Documentation Build PyPI Contributor Covenant

Layer - Metadata Store for Production ML

Layer - Metadata store for production ML

Layer helps you build, train and track all your machine learning project metadata including ML models and datasets with semantic versioning, extensive artifact logging and dynamic reporting with local↔cloud training

Start for Free now!

Getting Started

Install Layer:

pip install layer --upgrade

Login to your free account and initialize your project:

import layer
layer.login()
layer.init("my-first-project")

Decorate your training function to register your model to Layer:

from layer.decorators import model

@model("my-model")
def train():
    from sklearn import datasets
    from sklearn.svm import SVC
    iris = datasets.load_iris()
    clf = SVC()
    clf.fit(iris.data, iris.target)
    return clf

train()

Now you can fetch your model from Layer:

import layer

clf = layer.get_model("my-model:1.1").get_train()
clf

# > SVC()

🚀 Try in Google Colab now!

Reporting bugs

You have a bug, a request or a feature? Let us know on Slack or open an issue

Contributing code

Do you want to help us build the best metadata store? Check out the Contributing Guide

Learn more

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

layer-0.10.2450244165.tar.gz (100.2 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2450244165-py3-none-any.whl (135.6 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2450244165.tar.gz.

File metadata

  • Download URL: layer-0.10.2450244165.tar.gz
  • Upload date:
  • Size: 100.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.4.0-1080-azure

File hashes

Hashes for layer-0.10.2450244165.tar.gz
Algorithm Hash digest
SHA256 788f241aa7637ce6407d1dcd9c58fbc7b89094d443eb73c4c0475f337ecf1719
MD5 3a55f49ac821d253f7ddd2bfcc6f22e1
BLAKE2b-256 b0fcf211bf9eba1de3254afcdb07d6fb64a35b96c2d11d2728d9d2d283e1af71

See more details on using hashes here.

File details

Details for the file layer-0.10.2450244165-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2450244165-py3-none-any.whl
  • Upload date:
  • Size: 135.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.4.0-1080-azure

File hashes

Hashes for layer-0.10.2450244165-py3-none-any.whl
Algorithm Hash digest
SHA256 e4d1562116dde0e45e3456328d981fb2ca8e734ff0045979ced6507c1cd565a8
MD5 35cee5e423be320b11169f1bf7e01ee0
BLAKE2b-256 8517de42c7aa8b487637ca7fbbca77daf6afb12ee962f3de0e2aafa9e11167dc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page