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-1.0.34.tar.gz (52.9 kB view details)

Uploaded Source

Built Distribution

comet_ml-1.0.34-py3-none-any.whl (66.7 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-1.0.34.tar.gz.

File metadata

  • Download URL: comet_ml-1.0.34.tar.gz
  • Upload date:
  • Size: 52.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/38.2.4 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.3

File hashes

Hashes for comet_ml-1.0.34.tar.gz
Algorithm Hash digest
SHA256 640d7918a855754011f5d4f91b588c2e20f4c6702e1e6b602233ef052183512b
MD5 8e6a621905e5b8755dcb5c5f3762540d
BLAKE2b-256 fc59f2b6c39ce4ce97ddbdba678541c7428487d414a43310a92016a67169fd87

See more details on using hashes here.

File details

Details for the file comet_ml-1.0.34-py3-none-any.whl.

File metadata

  • Download URL: comet_ml-1.0.34-py3-none-any.whl
  • Upload date:
  • Size: 66.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/38.2.4 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.3

File hashes

Hashes for comet_ml-1.0.34-py3-none-any.whl
Algorithm Hash digest
SHA256 fceed2eeb825a3f6839f1468bc500298f354850b7d1973e8ca8807f61f15ca2b
MD5 1810944fb83d4bbfbfa39fc8cd008c34
BLAKE2b-256 3784d70ded88272abf6a1b1c9691ac7be2945efc71d349350b543bd56f1814e7

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