wtte · PyPI

Weibull Time To Event model. A Deep Learning model for churn- and failure prediction and everything else.

Project description

The author of this package has not provided a project description

This version

1.1.1

Jun 21, 2018

1.0.4

Apr 26, 2018

1.0.3

Apr 11, 2018

1.0.2

Jan 10, 2018

1.0.1

Jul 26, 2017

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

Uploaded Jun 21, 2018 Source

Uploaded Jun 21, 2018 Python 2 Python 3

Hashes for wtte-1.1.1.tar.gz
Algorithm	Hash digest
SHA256	`1e0d08b309ba2b567797202209ad25fc8ac01946bf369898b3de40e96fa11e18`
MD5	`ca6e181ea4b1e014d105474c2fbd6779`
BLAKE2b-256	`a3b86c36e7f2df0ab58da678bcbfb1c6fac01d1f588e5fba1dbd600c7887f4e0`

Hashes for wtte-1.1.1-py2.py3-none-any.whl
Algorithm	Hash digest
SHA256	`7a2e748781a385b31b4d18237caaddd23f8c87f3e3b50c39f9d01a5ee9e3d6b0`
MD5	`4d6e10298d4b81e762ed9554e4d3e4ee`
BLAKE2b-256	`950e8affc53f47d4ceb69fc80484fd87ad886c6cab7f4ce0add38076b6092d76`