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-1.0.13.tar.gz (31.5 kB view details)

Uploaded Source

Built Distribution

comet_ml-1.0.13-py3-none-any.whl (43.6 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-1.0.13.tar.gz.

File metadata

  • Download URL: comet_ml-1.0.13.tar.gz
  • Upload date:
  • Size: 31.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for comet_ml-1.0.13.tar.gz
Algorithm Hash digest
SHA256 9e3b5a79bf8fbf4e19a4ba3854bbd0f8bd67bab46800b29f09a104aa38b5284e
MD5 4ef3ed8a98d3fdc1fe50a3741cf05bd4
BLAKE2b-256 7072ee1a7553298c07d97489d1f33648df37e8cdace619be3b742be07a8425f5

See more details on using hashes here.

File details

Details for the file comet_ml-1.0.13-py3-none-any.whl.

File metadata

File hashes

Hashes for comet_ml-1.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 1f4b375a6d4e1eb5f4f2f25d7e6f8b9fd3c7c018a0f6b273e6c49fa3fe789c65
MD5 68bd889585bd5b6d22b8d2a1012a3a0a
BLAKE2b-256 c3293a8bd8f55ee6230b45c093572b7a636a353f174c84a2e2beb7d0c99a37e3

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