Skip to main content

Experiment collection

Project description

Experiment collection

GitHub PyPI version Release

A set of utilities for storing and organizing experiments

Install

pip install experiment-collection

You can find another versions at releases or pypi.

Usage_example

Experiment - structure with experiment data;

ExperimentCollectionLocal - local experiment storage;

ExperimentCollectionRemote - remote experiment storage; could combine data from multiply sources.

from experiment_collection import Experiment, ExperimentCollectionRemote

exps = ExperimentCollectionRemote('localhost:50051', 'main', 'token')

for i in range(10):
    exp = Experiment('name_{}'.format(i))
    exp.set_metrics({'lr': 0.1})
    exp.set_params({'auc': 0.5})

    exps.add_experiment(exp)

    assert exps.check_experiment(exp)

# Delete latest experiment
exps.delete_experiment(exp)

assert not exps.check_experiment(exp)

View all results. All metrics and params auto flatten into single columns.

exps.get_experiments()
     name                       time  params_auc  metrics_lr
0  name_0 2020-09-30 23:56:39.932871         0.5         0.1
1  name_1 2020-09-30 23:56:40.216424         0.5         0.1
2  name_2 2020-09-30 23:56:40.620029         0.5         0.1
3  name_3 2020-09-30 23:56:40.916781         0.5         0.1
4  name_4 2020-09-30 23:56:41.240535         0.5         0.1
5  name_5 2020-09-30 23:56:41.567865         0.5         0.1
6  name_6 2020-09-30 23:56:41.861890         0.5         0.1
7  name_7 2020-09-30 23:56:42.177155         0.5         0.1
8  name_8 2020-09-30 23:56:42.507883         0.5         0.1
9  name_9 2020-09-30 23:56:42.818714         0.5         0.1

License

MIT License

Copyright (c) 2020 AsciiShell (Aleksey Podchezertsev)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

experiment_collection_server-0.2.6.tar.gz (11.9 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file experiment_collection_server-0.2.6.tar.gz.

File metadata

  • Download URL: experiment_collection_server-0.2.6.tar.gz
  • Upload date:
  • Size: 11.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.1.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.7

File hashes

Hashes for experiment_collection_server-0.2.6.tar.gz
Algorithm Hash digest
SHA256 f033ecfe6f685bc07e1753f92908c82319b871ccc59f1ef947fa209f2f6cbe78
MD5 1a907806a467e1de7013bed988e8ad77
BLAKE2b-256 48cfd4f14ffd1c4d55785dea142c8a0bdbb6d690f7dda4f3294de23f1901800a

See more details on using hashes here.

File details

Details for the file experiment_collection_server-0.2.6-py3-none-any.whl.

File metadata

  • Download URL: experiment_collection_server-0.2.6-py3-none-any.whl
  • Upload date:
  • Size: 14.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.1.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.7

File hashes

Hashes for experiment_collection_server-0.2.6-py3-none-any.whl
Algorithm Hash digest
SHA256 e053f96425c91dac51877cde724dec5348c1a35e0a9c205532dbd830ec8fb8fc
MD5 bf0ebc7b5a61271f364e267cfe161046
BLAKE2b-256 a4b4f5c6039f3e7b61dfef6f604af3db35836be1785bd3a4bbd47642734698a9

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