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-1.0.29.tar.gz (41.2 kB view details)

Uploaded Source

Built Distribution

comet_ml-1.0.29-py3-none-any.whl (55.8 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-1.0.29.tar.gz.

File metadata

  • Download URL: comet_ml-1.0.29.tar.gz
  • Upload date:
  • Size: 41.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/38.2.4 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.3

File hashes

Hashes for comet_ml-1.0.29.tar.gz
Algorithm Hash digest
SHA256 60b226a02131ccdf4939c8af8cbd0bde9c2a1a2e34b710949b4ed7956cac5d88
MD5 d9308617be60614723f9614f565608ac
BLAKE2b-256 39c014e8a61f207fc46ee2c5b4c2132b5c9a71747f95e5fa0831d4a6d5aa7123

See more details on using hashes here.

File details

Details for the file comet_ml-1.0.29-py3-none-any.whl.

File metadata

  • Download URL: comet_ml-1.0.29-py3-none-any.whl
  • Upload date:
  • Size: 55.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/38.2.4 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.3

File hashes

Hashes for comet_ml-1.0.29-py3-none-any.whl
Algorithm Hash digest
SHA256 afa634e7af42e560a9e0225ec1ce75fd95b75ca49708fb84deb70450a6ddc0f7
MD5 9965fdc37721cceb08a831960aea48a9
BLAKE2b-256 1b093cfbc83bdda090fd0cfb645b3ea3703abda937c837364cd48a360b0676ab

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