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-3.1.16.tar.gz (182.4 kB view details)

Uploaded Source

Built Distribution

comet_ml-3.1.16-py2.py3-none-any.whl (217.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file comet_ml-3.1.16.tar.gz.

File metadata

  • Download URL: comet_ml-3.1.16.tar.gz
  • Upload date:
  • Size: 182.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.3

File hashes

Hashes for comet_ml-3.1.16.tar.gz
Algorithm Hash digest
SHA256 fee68905c25dd6c54bdbc40a43ed159efcf92762bf274cd8cb47783e66bf11e8
MD5 414d3b561ef373a8c9b2f35fa6ebecf5
BLAKE2b-256 d76fdfd62e72e37cce1ffee3e180170bb5e35157bf34166dba25047e5f02e919

See more details on using hashes here.

File details

Details for the file comet_ml-3.1.16-py2.py3-none-any.whl.

File metadata

  • Download URL: comet_ml-3.1.16-py2.py3-none-any.whl
  • Upload date:
  • Size: 217.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.3

File hashes

Hashes for comet_ml-3.1.16-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 2d05debe39fc0c8d602784c125bed815abe41d55a9754ad8613d8a5026d2f309
MD5 a1127df7fc061d6a1146c108be11840a
BLAKE2b-256 9d5d5ec4abf9b4081c9a4a596bac2e8c87a36f8e81ba448c745ef3c6c0a2469d

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