Supercharging Machine Learning

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for comet-ci from gravatar.com comet-ci Avatar for gidim from gravatar.com gidim Avatar for Nimrod007 from gravatar.com Nimrod007

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

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/
--------------


Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for comet-ci from gravatar.com comet-ci Avatar for gidim from gravatar.com gidim Avatar for Nimrod007 from gravatar.com Nimrod007

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

3.47.2

3.47.1

3.47.0

3.46.0

3.45.1

3.45.0

3.44.4

3.44.3

3.44.2

3.44.1

3.44.0

3.43.2

3.43.1

3.43.0

3.42.1

3.42.0

3.41.0

3.40.0

3.39.3

3.39.2

3.39.1

3.39.0

3.38.1

3.38.0

3.37.2

3.37.1

3.37.0

3.36.1

3.36.0

3.35.6

3.35.5

3.35.4

3.35.3

3.35.2

3.35.1

3.35.0

3.34.1

3.34.0

3.33.12

3.33.11

3.33.10

3.33.9

3.33.8

3.33.7

3.33.6

3.33.5

3.33.4

3.33.3

3.33.2

3.33.1

3.33.0

3.32.9

3.32.8

3.32.7

3.32.6

3.32.5

3.32.4

3.32.3

3.32.2

3.32.1

3.32.0

3.31.23

3.31.22

3.31.21

3.31.20

3.31.19

3.31.18

3.31.17

3.31.16

3.31.15

3.31.14

3.31.13

3.31.12

3.31.11

3.31.10 yanked

Reason this release was yanked:

broken python 2 support

3.31.9

3.31.8

3.31.8rc1 pre-release

3.31.7

3.31.6

3.31.5

3.31.4 yanked

Reason this release was yanked:

broken import

3.31.3

3.31.2

3.31.1

3.31.0

3.30.0

3.29.0

3.28.3

3.28.2

3.28.1

3.28.0

3.27.0

3.26.1

3.26.0

3.25.0

3.24.2

3.24.1

3.24.0

3.23.1

3.23.0

3.22.1

3.22.0

3.21.0

3.20.0

3.19.1

3.19.0

3.18.1

3.18.0

3.17.0

3.16.0

3.15.4

3.15.3

3.15.2

3.15.1

3.15.0

3.14.1

3.14.0

3.13.2

3.13.1

3.13.0

3.12.2

3.12.1

3.12.0

3.11.0

3.10.0

3.9.1

3.9.0

3.8.1

3.8.0

3.7.0

3.6.0

3.5.0

3.4.0

3.3.5

3.3.4

3.3.3

3.3.2

3.3.1

3.3.0

3.2.12

3.2.11

3.2.10

3.2.9

3.2.8

3.2.7

3.2.6

3.2.5

3.2.4

3.2.3

3.2.2

3.2.1

3.2.0

3.1.17

3.1.16

3.1.15

3.1.14

3.1.13

3.1.12

3.1.11

3.1.10

3.1.9

3.1.8

3.1.7

3.1.6

3.1.5

3.1.4

3.1.3

3.1.2

3.1.1

3.1.0

3.0.3

3.0.2

3.0.1

3.0.0

2.0.18

2.0.17

2.0.16

2.0.15

2.0.14

2.0.13

2.0.12

2.0.11

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.0.56

1.0.55

1.0.54

1.0.53

1.0.52

1.0.51

1.0.50

1.0.49

1.0.48

1.0.47

1.0.46

1.0.45

1.0.44

1.0.43

1.0.42

1.0.41

1.0.40

1.0.39

1.0.38

1.0.37

1.0.36

1.0.35

1.0.34

1.0.33

1.0.32

1.0.31

1.0.30

1.0.29

1.0.27

1.0.26

1.0.25

1.0.24

1.0.23

1.0.22

1.0.21

1.0.20

1.0.19

1.0.18

1.0.17

1.0.16

1.0.15

1.0.14

1.0.13

1.0.12

1.0.11

1.0.10

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

This version

1.0.4

1.0.3

1.0.2

1.0.1

0.31.23b0 pre-release

0.31.21b2 pre-release

0.31.21b1 pre-release

0.31.21b0 pre-release

0.1.69

0.1.68

0.1.67

0.1.66

0.1.65

0.1.64

0.1.63

0.1.62

0.1.61

0.1.60

0.1.59

0.1.58

0.1.57

0.1.56

0.1.55

0.1.54

0.1.53

0.1.51

0.1.50

0.1.40

0.1.39

0.1.38

0.1.37

0.1.36

0.1.35

0.1.34

0.1.33

0.1.32

0.1.31

0.1.30

0.1.29

0.1.28

0.1.27

0.1.25

0.1.24

0.1.23

0.1.22

0.1.21

0.1.20

0.1.19

0.1.18

0.1.16

0.1.15

0.1.14

0.1.13

0.1.12

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-1.0.4.tar.gz (24.2 kB view details)

Uploaded Source

Built Distribution

comet_ml-1.0.4-py3-none-any.whl (33.7 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-1.0.4.tar.gz.

File metadata

  • Download URL: comet_ml-1.0.4.tar.gz
  • Upload date:
  • Size: 24.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for comet_ml-1.0.4.tar.gz
Algorithm Hash digest
SHA256 d21d5541fd0f4275ec19c6f38f6764057acc550f079500c5f0fe9093adf53ced
MD5 12478d746e3fb9ad1d51e86fc5629abf
BLAKE2b-256 affd349e013fff35527dc18d18c9bf12969ab3259439fc41313cd2ab29a0551e

See more details on using hashes here.

File details

Details for the file comet_ml-1.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for comet_ml-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 58b809e93c01fe41f38229db2b0a03f48a9e4e4f1f84a71ab4dfa0b51e914bab
MD5 02dacb2b244002b727446bc9a27dfe73
BLAKE2b-256 d6ef0d4ccc0dc3fba984ccf2618494ef883474f18ca9a2e36de82ca7ec304915

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