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
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
wtte-1.1.1.tar.gz
(20.5 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
wtte-1.1.1-py2.py3-none-any.whl
(22.9 kB
view details)
File details
Details for the file wtte-1.1.1.tar.gz.
File metadata
- Download URL: wtte-1.1.1.tar.gz
- Upload date:
- Size: 20.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1e0d08b309ba2b567797202209ad25fc8ac01946bf369898b3de40e96fa11e18
|
|
| MD5 |
ca6e181ea4b1e014d105474c2fbd6779
|
|
| BLAKE2b-256 |
a3b86c36e7f2df0ab58da678bcbfb1c6fac01d1f588e5fba1dbd600c7887f4e0
|
File details
Details for the file wtte-1.1.1-py2.py3-none-any.whl.
File metadata
- Download URL: wtte-1.1.1-py2.py3-none-any.whl
- Upload date:
- Size: 22.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7a2e748781a385b31b4d18237caaddd23f8c87f3e3b50c39f9d01a5ee9e3d6b0
|
|
| MD5 |
4d6e10298d4b81e762ed9554e4d3e4ee
|
|
| BLAKE2b-256 |
950e8affc53f47d4ceb69fc80484fd87ad886c6cab7f4ce0add38076b6092d76
|