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

This version

2.0.6

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-2.0.6.tar.gz (96.4 kB view details)

Uploaded Source

Built Distribution

comet_ml-2.0.6-py3-none-any.whl (118.2 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-2.0.6.tar.gz.

File metadata

  • Download URL: comet_ml-2.0.6.tar.gz
  • Upload date:
  • Size: 96.4 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-2.0.6.tar.gz
Algorithm Hash digest
SHA256 f342b3de03a04ac1e6e872bde93aacc853c29be1bd4b98c676381cd57e7d72fc
MD5 7ec2d50aa518de02aa486c2358731b31
BLAKE2b-256 11de2aef56dc7252916986c678623ba4dc1a6df06a1dfb8fbc5b63aec0d20961

See more details on using hashes here.

File details

Details for the file comet_ml-2.0.6-py3-none-any.whl.

File metadata

  • Download URL: comet_ml-2.0.6-py3-none-any.whl
  • Upload date:
  • Size: 118.2 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-2.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 6aa360deb640e227e377bb84d2b657f07e7b074204031da87412894ab9b1f588
MD5 310a9d07967c1b29ddb2de51848e2b49
BLAKE2b-256 a0a64532da399695e8860ffd4a0da459289b71c3f6d4f1a3613aef32d46e6879

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