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-1.0.56.tar.gz (84.1 kB view details)

Uploaded Source

Built Distribution

comet_ml-1.0.56-py3-none-any.whl (103.0 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-1.0.56.tar.gz.

File metadata

  • Download URL: comet_ml-1.0.56.tar.gz
  • Upload date:
  • Size: 84.1 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/4.32.1 CPython/3.6.3

File hashes

Hashes for comet_ml-1.0.56.tar.gz
Algorithm Hash digest
SHA256 b55b82417d06bdf7dc7465221c4682b5b28cd130726cff8eb008e2b806b26e90
MD5 4acb73c19f655ac517ae687a65777304
BLAKE2b-256 f919e83656f1b6ad845ea989d309391bf3e98706abf58c4d504f37166e54d366

See more details on using hashes here.

File details

Details for the file comet_ml-1.0.56-py3-none-any.whl.

File metadata

  • Download URL: comet_ml-1.0.56-py3-none-any.whl
  • Upload date:
  • Size: 103.0 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/4.32.1 CPython/3.6.3

File hashes

Hashes for comet_ml-1.0.56-py3-none-any.whl
Algorithm Hash digest
SHA256 8297c5c7b06276a3a8bde01d854e07f0495903e6c46fddb8db73897426a095ed
MD5 0bb2e7fafdee468b3b20990d0eb61ceb
BLAKE2b-256 15a6792615e53e9255a01aac013b5b97491cb2ccf386deedf38c0bac2b7749f2

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