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-2.0.3.tar.gz (89.6 kB view details)

Uploaded Source

Built Distribution

comet_ml-2.0.3-py3-none-any.whl (109.8 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-2.0.3.tar.gz.

File metadata

  • Download URL: comet_ml-2.0.3.tar.gz
  • Upload date:
  • Size: 89.6 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/4.32.2 CPython/3.6.3

File hashes

Hashes for comet_ml-2.0.3.tar.gz
Algorithm Hash digest
SHA256 c0fe6797e82fdd96f51a8fb1569b6a5a6db686935ebdc188413a3ee373b594b7
MD5 b0b6f7aeac480f92bfe1c954ebdf673b
BLAKE2b-256 8594f7ab41f2e9267c2dc5c261dd23d443b2ffa0b70794fe13a5c08f91e670b6

See more details on using hashes here.

File details

Details for the file comet_ml-2.0.3-py3-none-any.whl.

File metadata

  • Download URL: comet_ml-2.0.3-py3-none-any.whl
  • Upload date:
  • Size: 109.8 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/4.32.2 CPython/3.6.3

File hashes

Hashes for comet_ml-2.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 e93f5f674cf6e0d8c17952157eeeebc39fa82a06ce5a075cf30f5244184c7497
MD5 debad02df6059924dc66cfaba581bfbd
BLAKE2b-256 c25e9f708215ad13d7b153adca23964596322ab40d2c6fe2c6031aa967d81b50

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