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/

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-2.0.8.tar.gz (103.2 kB view details)

Uploaded Source

Built Distribution

comet_ml-2.0.8-py3-none-any.whl (126.8 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-2.0.8.tar.gz.

File metadata

  • Download URL: comet_ml-2.0.8.tar.gz
  • Upload date:
  • Size: 103.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/38.2.4 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.6.3

File hashes

Hashes for comet_ml-2.0.8.tar.gz
Algorithm Hash digest
SHA256 a89deeb850d8e770c00b98ffc3222f25bd7b0fcb6c84228bb4391b5d4c24f481
MD5 2d97725f9cbb303af2c60bcbba4fd932
BLAKE2b-256 73070e7a2c4ce77bb31831f8c7f6a4a3a7fcb1e90dd12d51e560da86c39ebe6f

See more details on using hashes here.

File details

Details for the file comet_ml-2.0.8-py3-none-any.whl.

File metadata

  • Download URL: comet_ml-2.0.8-py3-none-any.whl
  • Upload date:
  • Size: 126.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/38.2.4 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.6.3

File hashes

Hashes for comet_ml-2.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 fea3be2c1738684c0b981c13f184c319e578aa43771cac57781a7ba00f277264
MD5 2f670d771afc766f8a10b355c4e2639e
BLAKE2b-256 e7a26a5537e4acf6228af85160b1c3be801e613b8110f1214097b85cc0b7d46f

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