Skip to main content

Supercharging Machine Learning

Project description

Latest PyPI version

Documentation

Full documentation and additional training examples are available on http://www.comet.ml/docs/

Installation

Getting started: 30 seconds to Comet.ml

The core class of Comet.ml is an Experiment, a specific run of a script that generated a result such as training a model on a single set of hyper parameters. An Experiment will automatically log scripts output (stdout/stderr), code, and command line arguments on any script and for the supported libraries will also log hyper parameters, metrics and model configuration.

Here is the Experiment object:

from comet_ml import Experiment experiment = Experiment(api_key=”YOUR_API_KEY”)

# Your code.

We all strive to be data driven and yet every day valuable experiments results are just lost and forgotten. Comet.ml provides a dead simple way of fixing that. Works with any workflow, any ML task, any machine and any piece of code.

For a more in-depth tutorial about Comet.ml, you can check out or docs http:/www.comet.ml/docs/

License

Copyright (C) 2015-2020 Comet ML INC.

This package can not be copied and/or distributed without the express permission of Comet ML Inc.

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

comet_ml-3.31.11.tar.gz (323.2 kB view details)

Uploaded Source

Built Distribution

comet_ml-3.31.11-py3-none-any.whl (388.9 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-3.31.11.tar.gz.

File metadata

  • Download URL: comet_ml-3.31.11.tar.gz
  • Upload date:
  • Size: 323.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for comet_ml-3.31.11.tar.gz
Algorithm Hash digest
SHA256 ac738e99abff465549ec553bd0793722f2cd2c8df14fd134e556ea079d3a9b7c
MD5 da6e930012135c67c4a9705e4f3d9763
BLAKE2b-256 b5e055e367d0fda853f449459b4ebd7a6992242dd1233462abc50282d143029b

See more details on using hashes here.

File details

Details for the file comet_ml-3.31.11-py3-none-any.whl.

File metadata

  • Download URL: comet_ml-3.31.11-py3-none-any.whl
  • Upload date:
  • Size: 388.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for comet_ml-3.31.11-py3-none-any.whl
Algorithm Hash digest
SHA256 e6b978f4a51d43f42c7bd49ed04f781b07c009aa7327d5c1a3ffd3dab4d65969
MD5 dd346798a9518133b962aa1d8d060140
BLAKE2b-256 6dabf7338fbd532fcaa18cb2d5820b9920bb919cc3e00e004f8b0bb34123d54a

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