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

This version

3.3.0

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-3.3.0.tar.gz (210.9 kB view details)

Uploaded Source

Built Distribution

comet_ml-3.3.0-py2.py3-none-any.whl (250.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file comet_ml-3.3.0.tar.gz.

File metadata

  • Download URL: comet_ml-3.3.0.tar.gz
  • Upload date:
  • Size: 210.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.3

File hashes

Hashes for comet_ml-3.3.0.tar.gz
Algorithm Hash digest
SHA256 bbe02dd66361eac842efcedb768ff75bd80b55368e93730f0f02740bf4c59fa6
MD5 6e3e17b63a2bac85ac3d299d1e6d81a8
BLAKE2b-256 bea8b859b53eb856541767269a9dbb55a5570fb4765a79a0477504e260fbf1b0

See more details on using hashes here.

File details

Details for the file comet_ml-3.3.0-py2.py3-none-any.whl.

File metadata

  • Download URL: comet_ml-3.3.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 250.1 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.3

File hashes

Hashes for comet_ml-3.3.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a7b322a6d9ea094d49cb1dd02a3dcdb1b4bb1ac1fbcf4dabcdc9e0f88a4f4c90
MD5 0c6a3a1a53865609f82c25293ba6c204
BLAKE2b-256 b985af9a1ddd2fec47ab559de475dcbe9bedfb6b783bc7ac6e63f6d0551d1c35

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