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-0.10.2835582912.tar.gz (139.1 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2835582912-py3-none-any.whl (187.3 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2835582912.tar.gz.

File metadata

  • Download URL: layer-0.10.2835582912.tar.gz
  • Upload date:
  • Size: 139.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.14 CPython/3.8.13 Linux/5.4.0-1086-azure

File hashes

Hashes for layer-0.10.2835582912.tar.gz
Algorithm Hash digest
SHA256 bd443010a1661cbc91e73bd573c756dc2bcd58a565610395d1b937881f0683fb
MD5 ed75c0ae22bc4f7e7bad19de422e7650
BLAKE2b-256 b4c80e61fa1266a61ff3bcc9571092f0a2cb8e71b729a072f23d295eb30bea7b

See more details on using hashes here.

File details

Details for the file layer-0.10.2835582912-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2835582912-py3-none-any.whl
  • Upload date:
  • Size: 187.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.14 CPython/3.8.13 Linux/5.4.0-1086-azure

File hashes

Hashes for layer-0.10.2835582912-py3-none-any.whl
Algorithm Hash digest
SHA256 7a247ada841988cb335e7b27a7aab1ec30058e4488aa730b18acae2acfb1ef3e
MD5 ed0dbc09a1ca88537dbc776ba831032f
BLAKE2b-256 cefd84f3b0d08bd05d3fdf1c43ae752ac7678750e0861aceea68769ea9f26f0c

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