Pre-release

This release is a pre-release and may not be stable for production use.

timecast

Performant, composable online learning

pypi pyversions security: bandit Code style: black License: MIT

build coverage Documentation Status doc coverage tests

Getting started

pip install timecast

To get the latest version (i.e., master):

pip install timecast-nightly

Please see documentation here.

For developers

Please see CONTRIBUTING.md for instructions.

Disclaimer

This is not an officially supported Google product.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.4.0.dev20210222201644)

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for danielsuo from gravatar.com danielsuo Avatar for google_opensource from gravatar.com google_opensource

Credits

Author: Google AI Princeton

License

Apache Software License

Requires

Python >=3.6

Tags

timeseries time series analysis online learning

Classifiers

Report project as malware

Release files for timecast-nightly 0.3.1.dev20200716160220

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for timecast-nightly 0.3.1.dev20200716160220
File Size Uploaded
timecast-nightly-0.3.1.dev20200716160220.tar.gz 22.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for timecast-nightly 0.3.1.dev20200716160220
File Interpreter ABI Platform
timecast_nightly-0.3.1.dev20200716160220-py3-none-any.whl 48.8 kB Python 3 none any Details

Total release size: 71.5 kB

Release files / timecast-nightly-0.3.1.dev20200716160220.tar.gz

Download URL timecast-nightly-0.3.1.dev20200716160220.tar.gz
Size 22.6 kB
Tags Source
SHA-256 checksum
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Release files / timecast_nightly-0.3.1.dev20200716160220-py3-none-any.whl

Download URL timecast_nightly-0.3.1.dev20200716160220-py3-none-any.whl
Size 48.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums 		238e782a7ccf308d30755d1a9470e2a4fd3a42e581312104fa2923fe5ddcc54b
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