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-0.10.2529591299.tar.gz (101.3 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2529591299-py3-none-any.whl (135.1 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2529591299.tar.gz.

File metadata

  • Download URL: layer-0.10.2529591299.tar.gz
  • Upload date:
  • Size: 101.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.4.0-1083-azure

File hashes

Hashes for layer-0.10.2529591299.tar.gz
Algorithm Hash digest
SHA256 7b33491e1d5b6d92f6b0eeafd9612bc02ec8c1811518cef492635eccc1acc8de
MD5 e76a718ad6e940f96e5089a527398894
BLAKE2b-256 40974ab384c82b656ea54f1cf96a85cb53e68fb40bb46ba233101352c46f1294

See more details on using hashes here.

File details

Details for the file layer-0.10.2529591299-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2529591299-py3-none-any.whl
  • Upload date:
  • Size: 135.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.4.0-1083-azure

File hashes

Hashes for layer-0.10.2529591299-py3-none-any.whl
Algorithm Hash digest
SHA256 536668fe1120005e5fbea6d48d5c6acea9fee607396bb28327cdd4a8c414d835
MD5 2a73368c8a617296312d6bdd2360f58a
BLAKE2b-256 a8cba2c510e1af06d4cef534f795eb3ea35b16c0e6a4cf8f40e645c3ebcb55eb

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