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-0.10.2512783487.tar.gz (100.1 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2512783487-py3-none-any.whl (133.3 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2512783487.tar.gz.

File metadata

  • Download URL: layer-0.10.2512783487.tar.gz
  • Upload date:
  • Size: 100.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.4.0-1083-azure

File hashes

Hashes for layer-0.10.2512783487.tar.gz
Algorithm Hash digest
SHA256 5f914640a79d0ef87bc80ea8912286bb5c7d0c18205e71d411e7bda89890a8a3
MD5 f46c5bef1748037d49e8675a518b8cf6
BLAKE2b-256 4595a05e1475fda82f20b8a73a5b4589c06159b833bd91bf8b4c0d834690d003

See more details on using hashes here.

File details

Details for the file layer-0.10.2512783487-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2512783487-py3-none-any.whl
  • Upload date:
  • Size: 133.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.4.0-1083-azure

File hashes

Hashes for layer-0.10.2512783487-py3-none-any.whl
Algorithm Hash digest
SHA256 0a0b66974671ecb32337d31e9fa4a0ec5d0f66b5bc9194237162f3a1e9d6f5a8
MD5 3d669d24fa9363b499c040c79bdcec8b
BLAKE2b-256 fcdfa8cc71ed4bad98b4eb5fd8c7191fbbc9946f0b179ef9414e3073aa4ab218

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