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

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/

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

This version

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-1.0.19.tar.gz (33.2 kB view details)

Uploaded Source

Built Distribution

comet_ml-1.0.19-py3-none-any.whl (45.7 kB view details)

Uploaded Python 3

File details

Details for the file comet_ml-1.0.19.tar.gz.

File metadata

  • Download URL: comet_ml-1.0.19.tar.gz
  • Upload date:
  • Size: 33.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for comet_ml-1.0.19.tar.gz
Algorithm Hash digest
SHA256 af9d1892ec92c27fbf79d7c1e19b355fd131b52c84174258e28bea53c5ff37ca
MD5 a58b8159aa3840f1bbb33c9aa2d7b3ee
BLAKE2b-256 69a7276dc57b5a154a5a4d6082494f7d9d33f9221ebdf0aad6da61eb5b06b5ac

See more details on using hashes here.

File details

Details for the file comet_ml-1.0.19-py3-none-any.whl.

File metadata

File hashes

Hashes for comet_ml-1.0.19-py3-none-any.whl
Algorithm Hash digest
SHA256 ccd024006abefc651539b7cf7094ded5b5c5af04f2676e02ae37ad91dc4ef82f
MD5 bfe6aea048a008b9d4a1bf957d3beccf
BLAKE2b-256 ce1d13c0365e0d6ace6b7479bf61e84e32b08d1bfc4a00849a5d13c7c975c1fd

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