TensorFlow Transform is a library for preprocessing data with TensorFlow. tf.Transform is useful for data that requires a full-pass, such as:
Normalize an input value by mean and standard deviation.
Convert strings to integers by generating a vocabulary over all input values.
Convert floats to integers by assigning them to buckets based on the observed data distribution.
TensorFlow has built-in support for manipulations on a single example or a batch of examples. tf.Transform extends these capabilities to support full-passes over the example data.
https://github.com/tensorflow/transform/blob/master/README.md
Metadata
Release files for tensorflow-transform-canary 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| tensorflow-transform-canary-0.9.0.tar.gz | 132.6 kB | Without provenance | Details for tensorflow-transform-canary-0.9.0.tar.gz |
Release files / tensorflow-transform-canary-0.9.0.tar.gz
| Download URL | tensorflow-transform-canary-0.9.0.tar.gz |
|---|---|
| Size | 132.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
dc6e79a36de7a77d4794467eaf36d9ae3a6d7c9e615158643a6ffe0f0238fd19
|
|
BLAKE2b-256 checksum How to use checksums |
c8101eea43360d17f3e9d453f5fc04c745a30fc904034f708168a6d6638fcbb8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.9.1 pkginfo/1.4.1 requests/2.18.4 setuptools/36.6.0 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/2.7.13
|
Security for tensorflow-transform-canary 0.9.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.