TensorFlow Lattice is a library that implements fast-to-evaluate and interpretable (optionally monotonic) lattice based models, which are also known as interpolated look-up tables. The library includes a collection of Keras layers for lattices and feature calibration that can be composed into custom models or used inside generic premade models.
2 maintainers
Release files for tensorflow-lattice 2.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tensorflow_lattice-2.1.1.tar.gz | 507.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tensorflow_lattice-2.1.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 727.2 kB
Release files / tensorflow_lattice-2.1.1.tar.gz
| Download URL | tensorflow_lattice-2.1.1.tar.gz |
|---|---|
| Size | 507.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0fb71bbc6fe79fd1bf78f4a0623aa9854bf4e6616ae8cd4a7263efe843158d12
|
|
BLAKE2b-256 checksum How to use checksums |
e45b96c1d0dba837306ae69854ffdc68f03dfd4e8dad4032eb92e23e475eec3a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.11.9
|
Release files / tensorflow_lattice-2.1.1-py2.py3-none-any.whl
| Download URL | tensorflow_lattice-2.1.1-py2.py3-none-any.whl |
|---|---|
| Size | 219.4 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
e851bfd5c1735b16d9ef2effe0b251f90f61d6005e2e4246e46abcf65591c3df
|
|
BLAKE2b-256 checksum How to use checksums |
f0faf819adfd3bc56242dfc4d4cef6c4376e101be9cd14073c1136e870092cc9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.11.9
|
