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-0.10.2509059806.tar.gz (100.0 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2509059806-py3-none-any.whl (133.2 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2509059806.tar.gz.

File metadata

  • Download URL: layer-0.10.2509059806.tar.gz
  • Upload date:
  • Size: 100.0 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-0.10.2509059806.tar.gz
Algorithm Hash digest
SHA256 3efeae9eff8c9d102d0f36a3924539185e5513ae04491aca483624d39b67c2e0
MD5 d35eef4615dbc9e486e5c92069b803a9
BLAKE2b-256 08d79b09ddc9fdbdf4eff71e846d9070a2b6d98e55634b5ba88dd47ebb1312f6

See more details on using hashes here.

File details

Details for the file layer-0.10.2509059806-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2509059806-py3-none-any.whl
  • Upload date:
  • Size: 133.2 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-0.10.2509059806-py3-none-any.whl
Algorithm Hash digest
SHA256 7578c6a3c919ace5b70b353bce06a5577460c5e28d2499bbe24c4cb2f1e22a8c
MD5 92f9b2af508c577050ea3480dfb836c8
BLAKE2b-256 f4502961d4b6cd0d4442b86ec9336f2c5d975595319c433109c385e332eda136

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