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-0.10.2696499474.tar.gz (131.8 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2696499474-py3-none-any.whl (178.4 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2696499474.tar.gz.

File metadata

  • Download URL: layer-0.10.2696499474.tar.gz
  • Upload date:
  • Size: 131.8 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-0.10.2696499474.tar.gz
Algorithm Hash digest
SHA256 4cd15ad00a6f20a7d6336024ab9dde896cd5a170161cf04276d3ccb69136f0e2
MD5 fd144dc96cdcd3ab48f54ccb77c345f9
BLAKE2b-256 e43a4cd67cff9e77391fb5acbf18bcafb94e40b1562acd3d3ee9a2dfafea2aa3

See more details on using hashes here.

File details

Details for the file layer-0.10.2696499474-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2696499474-py3-none-any.whl
  • Upload date:
  • Size: 178.4 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-0.10.2696499474-py3-none-any.whl
Algorithm Hash digest
SHA256 4b2e97d5f559e897f61b9ea6fb96027fda846397941bc7bcef2e83b6c7d344c8
MD5 fb66f1f18323279e6e031c595aa1591e
BLAKE2b-256 8f7489778e1c2b7c4c7bc3a5204ac02a8ab32a20315b80ccdba86bea0ec3a89d

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