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-2.0.1.tar.gz (87.7 kB view details)

Uploaded Source

Built Distribution

comet_ml-2.0.1-py3-none-any.whl (107.7 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-2.0.1.tar.gz.

File metadata

  • Download URL: comet_ml-2.0.1.tar.gz
  • Upload date:
  • Size: 87.7 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-2.0.1.tar.gz
Algorithm Hash digest
SHA256 73bcdfc00c8224f95125442dad03ccbee89886887b199cda5d1ff159ba40c16d
MD5 4a90d92ab3ca41b597e3cd3145574423
BLAKE2b-256 47fbe879838ba05a0051f3f8750ff1f20975a486b199f2797bb2a8a80174c2b1

See more details on using hashes here.

File details

Details for the file comet_ml-2.0.1-py3-none-any.whl.

File metadata

  • Download URL: comet_ml-2.0.1-py3-none-any.whl
  • Upload date:
  • Size: 107.7 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-2.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 45b849e8805b864daef33a07c604d59c35e5449660f6561c18434b2a2c4d5e85
MD5 128444f625066467329e059e413aef39
BLAKE2b-256 227ecf5d40d8ff84349a128ff4790684ac80ccc8df00819ccf0c1c9481685fc7

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