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-0.10.3036085761.tar.gz (138.9 kB view details)

Uploaded Source

Built Distribution

layer-0.10.3036085761-py3-none-any.whl (187.5 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.3036085761.tar.gz.

File metadata

  • Download URL: layer-0.10.3036085761.tar.gz
  • Upload date:
  • Size: 138.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.0 CPython/3.8.13 Linux/5.4.0-1086-azure

File hashes

Hashes for layer-0.10.3036085761.tar.gz
Algorithm Hash digest
SHA256 f9fad0136c9d21adea26127ad03608b4040ddd2684acc426711929dec69e9936
MD5 faf278e028aff035ac834245adae760c
BLAKE2b-256 be425b5146c837531abd4d2b5298da8cc1bfd8406c1aba2fb55e7e69c1a20d93

See more details on using hashes here.

File details

Details for the file layer-0.10.3036085761-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.3036085761-py3-none-any.whl
  • Upload date:
  • Size: 187.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.0 CPython/3.8.13 Linux/5.4.0-1086-azure

File hashes

Hashes for layer-0.10.3036085761-py3-none-any.whl
Algorithm Hash digest
SHA256 320fd0474f91d0e03bc1bfbe70d284c1f1d221b357f792fb9e1fbc30863235c2
MD5 bc0bd02eabf47c29e94b44963f03db21
BLAKE2b-256 988287ff4cc258bf92a4ee271994647dca18a8c00ec5e3684ca1cef0d17e22f0

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