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-3.22.0.tar.gz (258.8 kB view details)

Uploaded Source

Built Distribution

comet_ml-3.22.0-py2.py3-none-any.whl (305.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file comet_ml-3.22.0.tar.gz.

File metadata

  • Download URL: comet_ml-3.22.0.tar.gz
  • Upload date:
  • Size: 258.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.3

File hashes

Hashes for comet_ml-3.22.0.tar.gz
Algorithm Hash digest
SHA256 0f3b9024d683d6477d4160c376579622954018531e92580340e00d8be1f21945
MD5 a42bf25c1ec2a9c53a3b25f2ac09d5fd
BLAKE2b-256 654244d44d355c9a3ee1cc39092653a786289d2586835050cce53eea18f160f2

See more details on using hashes here.

File details

Details for the file comet_ml-3.22.0-py2.py3-none-any.whl.

File metadata

  • Download URL: comet_ml-3.22.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 305.1 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.3

File hashes

Hashes for comet_ml-3.22.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 66f261b94b5c35b368b5ad35776d3ed1f20ad167604d7d1b6fd25ed397787bc6
MD5 52b2b82b9e2198b4b5a16ec35c2dba59
BLAKE2b-256 4150488a517a0f0eb8241a188c857029e69345e190c554d5138d9a29c6771f41

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