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
  • License: Other/Proprietary License (Proprietary)
  • Author: Comet ML Inc.
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
Classifiers

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/

License

Copyright (C) 2015-2020 Comet ML INC.

This package can not be copied and/or distributed without the express permission of Comet ML Inc.

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
  • License: Other/Proprietary License (Proprietary)
  • Author: Comet ML Inc.
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
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

This version

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

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-3.2.9.tar.gz (204.2 kB view details)

Uploaded Source

Built Distribution

comet_ml-3.2.9-py2.py3-none-any.whl (241.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file comet_ml-3.2.9.tar.gz.

File metadata

  • Download URL: comet_ml-3.2.9.tar.gz
  • Upload date:
  • Size: 204.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.3

File hashes

Hashes for comet_ml-3.2.9.tar.gz
Algorithm Hash digest
SHA256 6c61fe6a5452cb3651f9e6400fe8940eb23eeab48393feed671be4904ae7684e
MD5 ab2bdcb80dd9e58a6f451efc8fc9b3ce
BLAKE2b-256 4f521b25620a3a7091630ca407ec9c7dedf6818aae9ac19e86d5c8f583fb9c06

See more details on using hashes here.

File details

Details for the file comet_ml-3.2.9-py2.py3-none-any.whl.

File metadata

  • Download URL: comet_ml-3.2.9-py2.py3-none-any.whl
  • Upload date:
  • Size: 241.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.3

File hashes

Hashes for comet_ml-3.2.9-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 3c2a315d538c7247fc58660d8031a00472b3e8875f51183d93e7d75fbde075d3
MD5 b4f076f0162fd3067a39c06b7294df8d
BLAKE2b-256 ff97511e5c98f555d9fc858e0ef3180cd78b5507295e3cd84e0dd68b6bc279f6

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