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-0.10.2948119054.tar.gz (146.7 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2948119054-py3-none-any.whl (202.4 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2948119054.tar.gz.

File metadata

  • Download URL: layer-0.10.2948119054.tar.gz
  • Upload date:
  • Size: 146.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.15 CPython/3.8.13 Linux/5.4.0-1086-azure

File hashes

Hashes for layer-0.10.2948119054.tar.gz
Algorithm Hash digest
SHA256 42bbb14872f3c6243c1d079e4dd467fec8c18e9183eefacb3dd2d0c11534864f
MD5 b27d0eeedab810ab9a82c81516846415
BLAKE2b-256 b61a9ca69cd3a37f8acfdc67d148a7c66fd7035e511e3075a74839cd61030ed6

See more details on using hashes here.

File details

Details for the file layer-0.10.2948119054-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2948119054-py3-none-any.whl
  • Upload date:
  • Size: 202.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.15 CPython/3.8.13 Linux/5.4.0-1086-azure

File hashes

Hashes for layer-0.10.2948119054-py3-none-any.whl
Algorithm Hash digest
SHA256 d617f5b04e3ee7bc88469fdf75a5bf42e3739e8763e59f877e0293ba1d76792a
MD5 6b70fadb2b3244ef5b584dac08f099d3
BLAKE2b-256 941431238c1736dd452802a16e02dc10bd8cdf29d923f63e5d895fdd551fa2bf

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