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-0.10.2803093825.tar.gz (136.2 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2803093825-py3-none-any.whl (183.9 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2803093825.tar.gz.

File metadata

  • Download URL: layer-0.10.2803093825.tar.gz
  • Upload date:
  • Size: 136.2 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-0.10.2803093825.tar.gz
Algorithm Hash digest
SHA256 9f2e875e24363f8c4a8506df3b86fb499a22b20a4a724695f27db8f62d4685ba
MD5 14bdb939edb378d9b6792bdb9bb0e1e9
BLAKE2b-256 79ea41f9c3de7f489e130b4612dcdafb132c66deced57a5c823081792d7040f4

See more details on using hashes here.

File details

Details for the file layer-0.10.2803093825-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2803093825-py3-none-any.whl
  • Upload date:
  • Size: 183.9 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-0.10.2803093825-py3-none-any.whl
Algorithm Hash digest
SHA256 e28c35cdde227ddaa61561b3a1f576bb504f105896d0ad072cc781f509f0c237
MD5 3d41ea4a1ced3330dab00bc7c079fab1
BLAKE2b-256 74552f6ca7d8dacaaae1a5a55752985145255e138fbb11220856aefb4de183ff

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