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-0.10.2804753318.tar.gz (136.5 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2804753318-py3-none-any.whl (184.2 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2804753318.tar.gz.

File metadata

  • Download URL: layer-0.10.2804753318.tar.gz
  • Upload date:
  • Size: 136.5 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-0.10.2804753318.tar.gz
Algorithm Hash digest
SHA256 68d6903d87a2378c042783578757a0caca762c0b15592b7911bc357be052e1f4
MD5 ca6a4b48d7b32fe550756e130139373b
BLAKE2b-256 3ced14ac1014a96b6e26590903b8ab27aa23548a90a4db241de5b5a27b1b7f3e

See more details on using hashes here.

File details

Details for the file layer-0.10.2804753318-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2804753318-py3-none-any.whl
  • Upload date:
  • Size: 184.2 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-0.10.2804753318-py3-none-any.whl
Algorithm Hash digest
SHA256 8a57ffc06da3ae0d034c5adc55f9e3c30f35af27988b759bdd0e7f39c272b749
MD5 31c6988f01c626822ae0d5dab1ea6cc8
BLAKE2b-256 1eb29d48530f2985e7df1cdff17be144cc1a11a59885f144319894c73d627f78

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