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-0.10.2578859899.tar.gz (106.4 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2578859899-py3-none-any.whl (147.7 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2578859899.tar.gz.

File metadata

  • Download URL: layer-0.10.2578859899.tar.gz
  • Upload date:
  • Size: 106.4 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-0.10.2578859899.tar.gz
Algorithm Hash digest
SHA256 4c6b65673485889f21c589f5406d9e24d5d8dd03522211eec0c9f12c5189e23b
MD5 93b7383f5f22b9adf0219c429a599918
BLAKE2b-256 a646be097777b88f16837497d33917d844663603b2857c1fc04d6e077d96daeb

See more details on using hashes here.

File details

Details for the file layer-0.10.2578859899-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2578859899-py3-none-any.whl
  • Upload date:
  • Size: 147.7 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-0.10.2578859899-py3-none-any.whl
Algorithm Hash digest
SHA256 867efeeef978ef5ff7ba8bbfa3256119dee14148dd951c9a7db53b57f07a57c4
MD5 888ab921e715f4481eb333b6cc706774
BLAKE2b-256 c56db6095d5959ae46c512101812c7d4834677aa2263a7115b6f5ea513fe46db

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