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-0.10.2712244261.tar.gz (132.0 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2712244261-py3-none-any.whl (178.3 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2712244261.tar.gz.

File metadata

  • Download URL: layer-0.10.2712244261.tar.gz
  • Upload date:
  • Size: 132.0 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-0.10.2712244261.tar.gz
Algorithm Hash digest
SHA256 0f4131ae4c6ca29951023f87fb3908fbb477cb971a9b8e64ed07a4a0a63b3110
MD5 c4c3b42b42468526f7f3f3ff6e329580
BLAKE2b-256 4c3ff67a15d31c2f2b4152860d8dec1ee231f5e00127915dbede09eadac7d0d9

See more details on using hashes here.

File details

Details for the file layer-0.10.2712244261-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2712244261-py3-none-any.whl
  • Upload date:
  • Size: 178.3 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-0.10.2712244261-py3-none-any.whl
Algorithm Hash digest
SHA256 8ac0e89c751de5089111815117ec7f537698b374a763b7c8d0ffeee3859b1391
MD5 691666151e9c43a5661c0823145548f8
BLAKE2b-256 b4d4cae664c441ffecee4641ddc714506657114636e1d21e00595fa3724736a6

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