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-0.10.2679660566.tar.gz (111.0 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2679660566-py3-none-any.whl (154.4 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2679660566.tar.gz.

File metadata

  • Download URL: layer-0.10.2679660566.tar.gz
  • Upload date:
  • Size: 111.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.14 CPython/3.8.13 Linux/5.4.0-1085-azure

File hashes

Hashes for layer-0.10.2679660566.tar.gz
Algorithm Hash digest
SHA256 3f15cb5e58fd979bfcd862f5c0c576986e9040a38357a053c8fdbab6f9811851
MD5 60c71c10e5dad6431482994954325b0b
BLAKE2b-256 be28ef830bab45a5180f872199b7c04df9612a3cae1996d76d828ccec083bb4f

See more details on using hashes here.

File details

Details for the file layer-0.10.2679660566-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2679660566-py3-none-any.whl
  • Upload date:
  • Size: 154.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.14 CPython/3.8.13 Linux/5.4.0-1085-azure

File hashes

Hashes for layer-0.10.2679660566-py3-none-any.whl
Algorithm Hash digest
SHA256 023df3fbd7be35ebb357d64d60cf28b9ce9200784189b05818b7bedc8b8e99be
MD5 62fb819cf7808c2f67a6175b24980b68
BLAKE2b-256 192b9b962de4a588f700b5c220c4f68c0d36dd9e914b8a9f70c333b9a4920285

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