Supercharging Machine Learning
Project description
Comet.ml
=======
.. image:: https://img.shields.io/pypi/v/comet_ml.svg
:target: https://pypi-hypernode.com/pypi/comet_ml
:alt: Latest PyPI version
Documentation
-------------
Full documentation and additional training examples are available on
http://www.comet.ml/docs/
Installation
------------
- Sign up (free) on comet.ml and obtain an API key at https://www.comet.ml
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/
--------------
=======
.. image:: https://img.shields.io/pypi/v/comet_ml.svg
:target: https://pypi-hypernode.com/pypi/comet_ml
:alt: Latest PyPI version
Documentation
-------------
Full documentation and additional training examples are available on
http://www.comet.ml/docs/
Installation
------------
- Sign up (free) on comet.ml and obtain an API key at https://www.comet.ml
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-1.0.13.tar.gz
(31.5 kB
view details)
Built Distribution
comet_ml-1.0.13-py3-none-any.whl
(43.6 kB
view details)
File details
Details for the file comet_ml-1.0.13.tar.gz
.
File metadata
- Download URL: comet_ml-1.0.13.tar.gz
- Upload date:
- Size: 31.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9e3b5a79bf8fbf4e19a4ba3854bbd0f8bd67bab46800b29f09a104aa38b5284e |
|
MD5 | 4ef3ed8a98d3fdc1fe50a3741cf05bd4 |
|
BLAKE2b-256 | 7072ee1a7553298c07d97489d1f33648df37e8cdace619be3b742be07a8425f5 |
File details
Details for the file comet_ml-1.0.13-py3-none-any.whl
.
File metadata
- Download URL: comet_ml-1.0.13-py3-none-any.whl
- Upload date:
- Size: 43.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1f4b375a6d4e1eb5f4f2f25d7e6f8b9fd3c7c018a0f6b273e6c49fa3fe789c65 |
|
MD5 | 68bd889585bd5b6d22b8d2a1012a3a0a |
|
BLAKE2b-256 | c3293a8bd8f55ee6230b45c093572b7a636a353f174c84a2e2beb7d0c99a37e3 |