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-0.10.2839392278.tar.gz (143.8 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2839392278-py3-none-any.whl (192.1 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2839392278.tar.gz.

File metadata

  • Download URL: layer-0.10.2839392278.tar.gz
  • Upload date:
  • Size: 143.8 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-0.10.2839392278.tar.gz
Algorithm Hash digest
SHA256 37246bb2da3e90fa92dd39402cd84b16448c9a5bec52db94d62096f4fd18df5a
MD5 43919c2eb24330f97392da5dc5f71fb2
BLAKE2b-256 05836f0f64b2ab5bb3067fd76e17c8678cb55053cfef7da10deea1c6ad33ffa3

See more details on using hashes here.

File details

Details for the file layer-0.10.2839392278-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2839392278-py3-none-any.whl
  • Upload date:
  • Size: 192.1 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-0.10.2839392278-py3-none-any.whl
Algorithm Hash digest
SHA256 419b8b4ae4db07f287b43dd0e0d8041e7024da16897767f72fa98073da131b41
MD5 53ce33b9dc7cfa3df83208e293d1c787
BLAKE2b-256 877698abe5b55cd314aeea19397d5da0ed6ee4c5d75e632bc5163b759efa20cf

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