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-0.10.2878787422.tar.gz (142.9 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2878787422-py3-none-any.whl (196.8 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2878787422.tar.gz.

File metadata

  • Download URL: layer-0.10.2878787422.tar.gz
  • Upload date:
  • Size: 142.9 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-0.10.2878787422.tar.gz
Algorithm Hash digest
SHA256 c456d825118161a35797e9b18df895f072f1d2e17ad2eaee067d7ae935f553bd
MD5 e2c21ffccebd493f61b95141e5ca473f
BLAKE2b-256 a70316eeb268ed3f9569ec4b6ba3aa3cc1382cf943b8a5b04e39d42df4787891

See more details on using hashes here.

File details

Details for the file layer-0.10.2878787422-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2878787422-py3-none-any.whl
  • Upload date:
  • Size: 196.8 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-0.10.2878787422-py3-none-any.whl
Algorithm Hash digest
SHA256 39e5e36b843d3ba1403144a4249a6a11c8012d1a15d309183948681a7c7b6014
MD5 e317f797b56cf1befd7d3c9bc6069ef5
BLAKE2b-256 bfbc129d96e133f5b938aebcea9ab95f68408e7c5b267720dc86d198b9600343

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