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-0.10.2612449112.tar.gz (110.2 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2612449112-py3-none-any.whl (152.4 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2612449112.tar.gz.

File metadata

  • Download URL: layer-0.10.2612449112.tar.gz
  • Upload date:
  • Size: 110.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.13 Linux/5.4.0-1085-azure

File hashes

Hashes for layer-0.10.2612449112.tar.gz
Algorithm Hash digest
SHA256 2097fbe72971adfee51ac6d445a05e21a00b7fcc6dc94374b2ac4e9474f8bc40
MD5 9a10001214d367aaed1f52f045baba90
BLAKE2b-256 f55d25d6401165f4e52153356c88027b62b12532fdc26f66c8650771a81b0baf

See more details on using hashes here.

File details

Details for the file layer-0.10.2612449112-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2612449112-py3-none-any.whl
  • Upload date:
  • Size: 152.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.13 Linux/5.4.0-1085-azure

File hashes

Hashes for layer-0.10.2612449112-py3-none-any.whl
Algorithm Hash digest
SHA256 86bc21200ef4d18d17c5a3746b5888a28262473f5ec5d573a4d7997980b9c707
MD5 482c524e94a5af06f60dae39709257e8
BLAKE2b-256 184e9a1fa2a1dba80a6967dd77656eab95f3bc3d3ab0e79102f2b6e7d6f20547

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