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-0.10.2555990285.tar.gz (105.8 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2555990285-py3-none-any.whl (142.1 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2555990285.tar.gz.

File metadata

  • Download URL: layer-0.10.2555990285.tar.gz
  • Upload date:
  • Size: 105.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.4.0-1085-azure

File hashes

Hashes for layer-0.10.2555990285.tar.gz
Algorithm Hash digest
SHA256 7ebeb26f6629264c4e6b1fbd87cb63f9f21aac65b7d3a2c0dd4301380768a210
MD5 ddc5a553e9245e50a1f221ba910c12e9
BLAKE2b-256 b376fc25de4d3ab971def5b4abfaee7d4f42e843ce23abd7cc0624d677c2798a

See more details on using hashes here.

File details

Details for the file layer-0.10.2555990285-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2555990285-py3-none-any.whl
  • Upload date:
  • Size: 142.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.4.0-1085-azure

File hashes

Hashes for layer-0.10.2555990285-py3-none-any.whl
Algorithm Hash digest
SHA256 3e251fd9e84409ece7195e543cfe6795678033d552a8b15e2450e4141ef029aa
MD5 82df7c898bef3e93cef1cbb4bbf505a7
BLAKE2b-256 c1a5784051f74f97906b82af2818a506628df732ff5eac7f20c081a9742d4777

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