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

This version

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

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-3.9.1.tar.gz (217.1 kB view details)

Uploaded Source

Built Distribution

comet_ml-3.9.1-py2.py3-none-any.whl (257.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file comet_ml-3.9.1.tar.gz.

File metadata

  • Download URL: comet_ml-3.9.1.tar.gz
  • Upload date:
  • Size: 217.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.3

File hashes

Hashes for comet_ml-3.9.1.tar.gz
Algorithm Hash digest
SHA256 f8236178a61a5c7dc66c544341350ce177536009f94610c4893321c3077ad8b2
MD5 e25ba2c2da87e6de8baebc6dbadf4020
BLAKE2b-256 17979f1e153f6b4df253f5eea38e51f9be34256bc8bf0d363d01a1ffc2d2d668

See more details on using hashes here.

File details

Details for the file comet_ml-3.9.1-py2.py3-none-any.whl.

File metadata

  • Download URL: comet_ml-3.9.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 257.1 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.3

File hashes

Hashes for comet_ml-3.9.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 17d96acf77eea47882ade1159e779a5e9479584cce14e5d956738a1282eeba8e
MD5 8e70a8fb1269976116a2cbc5f3a44382
BLAKE2b-256 bdbd8ab1e9c89ab4925827cd6a2895b0b5cbdd66ba5392045ac0887412da49db

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