Skip to main content

Supercharging Machine Learning

Project description

Comet.ml
=======

.. image:: https://img.shields.io/pypi/v/comet_ml.svg
:target: https://pypi-hypernode.com/pypi/comet_ml
:alt: Latest PyPI version


Documentation
-------------

Full documentation and additional training examples are available on
http://www.comet.ml/docs/

Installation
------------

- Sign up (free) on comet.ml and obtain an API key at https://www.comet.ml


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-1.0.8.tar.gz (28.3 kB view details)

Uploaded Source

Built Distribution

comet_ml-1.0.8-py3-none-any.whl (40.7 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-1.0.8.tar.gz.

File metadata

  • Download URL: comet_ml-1.0.8.tar.gz
  • Upload date:
  • Size: 28.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for comet_ml-1.0.8.tar.gz
Algorithm Hash digest
SHA256 eb1d92305f71002c4cf70c465fe15bb8ede02fb4db678c4cf3419e81778b8984
MD5 c05f00d73747e4dd282f2e800f21e5e2
BLAKE2b-256 b01059a2a1e49ed53dc213265ca089d4635739955bd4f3911286562720195aed

See more details on using hashes here.

File details

Details for the file comet_ml-1.0.8-py3-none-any.whl.

File metadata

File hashes

Hashes for comet_ml-1.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 1e4508df7a0383013b0b61abe8ac58dee331ce456da9fba1fa78c8211fc1de44
MD5 b2755994ddab2507b18072f970b22e87
BLAKE2b-256 f32d12ab6ddd14c39c6ba5233012a8e9450eccf85320dac8bf7fba7e5c22d6f3

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