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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/

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Filename, size & hash SHA256 hash help File type Python version Upload date
comet_ml-1.0.37-py3-none-any.whl (71.0 kB) Copy SHA256 hash SHA256 Wheel py3 Nov 14, 2018
comet_ml-1.0.37.tar.gz (53.9 kB) Copy SHA256 hash SHA256 Source None Nov 14, 2018

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