Metric Reporting Python Package for CloudML Hypertune
=====================================================
Helper Functions for CloudML Engine Hypertune Services.
.. _Google CloudML Engine Hyperparameter Tuning Service: https://cloud.google.com/ml-engine/docs/tensorflow/hyperparameter-tuning-overview
|pypi| |versions|
Prerequisites
-------------
- Google CloudML Engine `Overview <https://cloud.google.com/ml-engine/>`__.
- Google CloudML Engine `Hyperparameter Tuning
Overview <https://cloud.google.com/ml-engine/docs/tensorflow/hyperparameter-tuning-overview>`__.
Installation
------------
Install via `pip <https://pypi.python.org/pypi/pip>`__:
::
pip install cloudml-hypertune
Usage
-----
.. code:: python
import hypertune
hpt = hypertune.HyperTune()
hpt.report_hyperparameter_tuning_metric(
hyperparameter_metric_tag='my_metric_tag',
metric_value=0.987,
global_step=1000)
By default, the metric entries will be stored to ``/tmp/hypertune/outout.metric`` in json format:
::
{"global_step": "1000", "my_metric_tag": "0.987", "timestamp": 1525851440.123456, "trial": "0"}
Licensing
---------
- Apache 2.0
.. |pypi| image:: https://img.shields.io/pypi/v/cloudml-hypertune.svg
:target: https://pypi.org/project/cloudml-hypertune/
.. |versions| image:: https://img.shields.io/pypi/pyversions/cloudml-hypertune.svg
:target: https://pypi.org/project/cloudml-hypertune/
Raw data
{
"_id": null,
"home_page": "http://github.com/GoogleCloudPlatform/cloudml-hypertune",
"name": "cloudml-hypertune",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "ml hyperparameter tuning",
"author": "Google CloudML Engine",
"author_email": "cloudml-feedback@google.com",
"download_url": "https://files.pythonhosted.org/packages/84/54/142a00a29d1c51dcf8c93b305f35554c947be2faa0d55de1eabcc0a9023c/cloudml-hypertune-0.1.0.dev6.tar.gz",
"platform": "",
"description": "Metric Reporting Python Package for CloudML Hypertune\n=====================================================\n Helper Functions for CloudML Engine Hypertune Services.\n\n.. _Google CloudML Engine Hyperparameter Tuning Service: https://cloud.google.com/ml-engine/docs/tensorflow/hyperparameter-tuning-overview\n\n|pypi| |versions|\n\nPrerequisites\n-------------\n\n- Google CloudML Engine `Overview <https://cloud.google.com/ml-engine/>`__.\n\n- Google CloudML Engine `Hyperparameter Tuning\n Overview <https://cloud.google.com/ml-engine/docs/tensorflow/hyperparameter-tuning-overview>`__.\n\nInstallation\n------------\nInstall via `pip <https://pypi.python.org/pypi/pip>`__:\n\n::\n\n pip install cloudml-hypertune\n\nUsage\n-----\n\n.. code:: python\n\n import hypertune\n\n hpt = hypertune.HyperTune()\n hpt.report_hyperparameter_tuning_metric(\n hyperparameter_metric_tag='my_metric_tag',\n metric_value=0.987,\n global_step=1000)\n\nBy default, the metric entries will be stored to ``/tmp/hypertune/outout.metric`` in json format:\n\n::\n\n {\"global_step\": \"1000\", \"my_metric_tag\": \"0.987\", \"timestamp\": 1525851440.123456, \"trial\": \"0\"}\n\nLicensing\n---------\n\n- Apache 2.0\n\n.. |pypi| image:: https://img.shields.io/pypi/v/cloudml-hypertune.svg\n :target: https://pypi.org/project/cloudml-hypertune/\n.. |versions| image:: https://img.shields.io/pypi/pyversions/cloudml-hypertune.svg\n :target: https://pypi.org/project/cloudml-hypertune/",
"bugtrack_url": null,
"license": "Apache Software License",
"summary": "A library to report Google CloudML Engine HyperTune metrics.",
"version": "0.1.0.dev6",
"split_keywords": [
"ml",
"hyperparameter",
"tuning"
],
"urls": [
{
"comment_text": "",
"digests": {
"md5": "9c035ad0126ec84199943df2ae0afc0c",
"sha256": "b96a5a203ecf7b3302e94f63977d7293fe21c696bea27e35667de82599696a89"
},
"downloads": -1,
"filename": "cloudml-hypertune-0.1.0.dev6.tar.gz",
"has_sig": false,
"md5_digest": "9c035ad0126ec84199943df2ae0afc0c",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 3188,
"upload_time": "2019-12-18T22:43:48",
"upload_time_iso_8601": "2019-12-18T22:43:48.742739Z",
"url": "https://files.pythonhosted.org/packages/84/54/142a00a29d1c51dcf8c93b305f35554c947be2faa0d55de1eabcc0a9023c/cloudml-hypertune-0.1.0.dev6.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2019-12-18 22:43:48",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "GoogleCloudPlatform",
"github_project": "cloudml-hypertune",
"travis_ci": true,
"coveralls": false,
"github_actions": false,
"lcname": "cloudml-hypertune"
}
JSON
