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-0.10.2748018609.tar.gz (132.7 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2748018609-py3-none-any.whl (178.2 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2748018609.tar.gz.

File metadata

  • Download URL: layer-0.10.2748018609.tar.gz
  • Upload date:
  • Size: 132.7 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-0.10.2748018609.tar.gz
Algorithm Hash digest
SHA256 dfad016f06dece5a3716bbbbc94e7f2dc9b8a448e08b12a1435ad92bde284cb9
MD5 bab0eafa601a1aa56fc73cc2ff026eea
BLAKE2b-256 952a2f7f53f71f6c323aba1018a99adeba91254fa626f4ec58062e62c12b2d8f

See more details on using hashes here.

File details

Details for the file layer-0.10.2748018609-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2748018609-py3-none-any.whl
  • Upload date:
  • Size: 178.2 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-0.10.2748018609-py3-none-any.whl
Algorithm Hash digest
SHA256 b88430ccf26f7ac6caaba231854f03d749b779682576517cc8e94d6e571fab33
MD5 d35035933e954ff1aeaa87a8b1a830b2
BLAKE2b-256 cd3864939f67252c8c3dc73ec825abb4c7f54d73c3694ed89c98d791410e10b8

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