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-1.0.18.tar.gz (36.7 kB view details)

Uploaded Source

Built Distribution

comet_ml-1.0.18-py3-none-any.whl (48.8 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-1.0.18.tar.gz.

File metadata

  • Download URL: comet_ml-1.0.18.tar.gz
  • Upload date:
  • Size: 36.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for comet_ml-1.0.18.tar.gz
Algorithm Hash digest
SHA256 c8b1a86c4bcb12239654ecb3c6d175db72bbdf7b05f39a1685dfb57c1d2b6457
MD5 69161c14d6163cf4666c3c33747812c8
BLAKE2b-256 339ffbdb6daa6faf6483996549e6aa11c7ac1873e6c21eef903bb210616b1c03

See more details on using hashes here.

File details

Details for the file comet_ml-1.0.18-py3-none-any.whl.

File metadata

File hashes

Hashes for comet_ml-1.0.18-py3-none-any.whl
Algorithm Hash digest
SHA256 5ae8055f43f65e4395803fcc8d67765138c020998314acbed5a9abe7da8f2bcc
MD5 9c450e68d27d1a2f4063c323a2e14ada
BLAKE2b-256 1df19102e875c2e317c5bddd0fbdb195261b5c9152e39dccee9d80fae35cd30c

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