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

3.4.0

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-3.4.0.tar.gz (212.7 kB view details)

Uploaded Source

Built Distribution

comet_ml-3.4.0-py2.py3-none-any.whl (252.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file comet_ml-3.4.0.tar.gz.

File metadata

  • Download URL: comet_ml-3.4.0.tar.gz
  • Upload date:
  • Size: 212.7 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/4.58.0 CPython/3.8.3

File hashes

Hashes for comet_ml-3.4.0.tar.gz
Algorithm Hash digest
SHA256 fae48b39066dc0951af8fd1cb9070a665d40d956a4b5b4951d06063ce535972b
MD5 af0a462547ff92a9c5be045819b411f0
BLAKE2b-256 460ef9b1f0844d47984bbffe04356842ffd0efeeb8b498d7e2366e1ba98f9551

See more details on using hashes here.

File details

Details for the file comet_ml-3.4.0-py2.py3-none-any.whl.

File metadata

  • Download URL: comet_ml-3.4.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 252.1 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/4.58.0 CPython/3.8.3

File hashes

Hashes for comet_ml-3.4.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 3f032b0286b20b66d41e8ff5b944bc1efb04fab0ac122af406e76ce45daf29fa
MD5 db2fda3af64ede2c6126d98d5739f100
BLAKE2b-256 6ff93b6759d643c9c1409aedc5ddaf3f6e150e1e0377197805bb7cc737374114

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