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-0.10.2890047834.tar.gz (143.4 kB view details)

Uploaded Source

Built Distribution

layer-0.10.2890047834-py3-none-any.whl (197.4 kB view details)

Uploaded Python 3

File details

Details for the file layer-0.10.2890047834.tar.gz.

File metadata

  • Download URL: layer-0.10.2890047834.tar.gz
  • Upload date:
  • Size: 143.4 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-0.10.2890047834.tar.gz
Algorithm Hash digest
SHA256 3e73264948359aa41b3f6d566c7935584d1145b2ab93d4be87aa3526ded37ea4
MD5 c377c74680b3793b2aa839236584016e
BLAKE2b-256 415a9a43f89d1532cc367f56c928c5aebe8d79fbc142ec0fee814d807e2a2c41

See more details on using hashes here.

File details

Details for the file layer-0.10.2890047834-py3-none-any.whl.

File metadata

  • Download URL: layer-0.10.2890047834-py3-none-any.whl
  • Upload date:
  • Size: 197.4 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-0.10.2890047834-py3-none-any.whl
Algorithm Hash digest
SHA256 f97d6ae886dda49d873ff49454ade1ccdca4bddbaca26e67bbf05e283261d0d5
MD5 32dcaf4bfa4c1bda7db9ae4dbac8e18e
BLAKE2b-256 19d7b0537adc36dfa05bf146c0b345cb79d98291b4b3fc77480a91b4d8648928

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