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-1.0.25.tar.gz (41.2 kB view details)

Uploaded Source

Built Distribution

comet_ml-1.0.25-py3-none-any.whl (55.6 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-1.0.25.tar.gz.

File metadata

  • Download URL: comet_ml-1.0.25.tar.gz
  • Upload date:
  • Size: 41.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/38.2.4 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.6.3

File hashes

Hashes for comet_ml-1.0.25.tar.gz
Algorithm Hash digest
SHA256 1d20bda0de9d77aeba3f7f702c7ab69c69791606c3dd4ef9bb28c12664f3b76c
MD5 3b473740a447d6b5facfe44506a47a69
BLAKE2b-256 72414cd01f8f3fcb4f5e94640d76a13d8b14b4bb5b831075f760715288be7803

See more details on using hashes here.

File details

Details for the file comet_ml-1.0.25-py3-none-any.whl.

File metadata

  • Download URL: comet_ml-1.0.25-py3-none-any.whl
  • Upload date:
  • Size: 55.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/38.2.4 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.6.3

File hashes

Hashes for comet_ml-1.0.25-py3-none-any.whl
Algorithm Hash digest
SHA256 36b45c96cfc0eed2124cba398cc4e07ed6331ae2696039a6f408b19b28ea1c74
MD5 2d7711ae5756bef3117dbf9189220cb5
BLAKE2b-256 d2baf75befed71791b6c1ee0c4d5ba449633f2c4687074df3ff069fe23154718

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