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-0.10.2494043919.tar.gz (100.6 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2494043919-py3-none-any.whl (135.6 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2494043919.tar.gz.

File metadata

  • Download URL: layer-0.10.2494043919.tar.gz
  • Upload date:
  • Size: 100.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.4.0-1080-azure

File hashes

Hashes for layer-0.10.2494043919.tar.gz
Algorithm Hash digest
SHA256 66747a319bc776c3e10f38ae91b6a1c025725f541f65df7589b4b25f4d4e4865
MD5 065e5511066a523149aee24f572bf4aa
BLAKE2b-256 d6c1ed667935315715cd5099ff1df33495e989d1a97bec17027a86c1be4cf523

See more details on using hashes here.

File details

Details for the file layer-0.10.2494043919-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2494043919-py3-none-any.whl
  • Upload date:
  • Size: 135.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.4.0-1080-azure

File hashes

Hashes for layer-0.10.2494043919-py3-none-any.whl
Algorithm Hash digest
SHA256 517146b7613da8df1ae1f8a631677260b59bbbebc6caa96f13c0418026e5eda5
MD5 1f25e15afb2f63e75890dd3410fdff86
BLAKE2b-256 cfa9d39963c3bf24ad6d849f828202cc464a9048118294446b7e12c064a0c3fa

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