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https://github.com/tensorflow/transform
Input pipeline framework
https://github.com/tensorflow/transform
Last synced: about 1 month ago
JSON representation
Input pipeline framework
- Host: GitHub
- URL: https://github.com/tensorflow/transform
- Owner: tensorflow
- License: apache-2.0
- Created: 2017-02-10T00:36:53.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-04-30T20:12:22.000Z (6 months ago)
- Last Synced: 2024-05-17T11:02:22.007Z (6 months ago)
- Language: Python
- Size: 3.7 MB
- Stars: 982
- Watchers: 58
- Forks: 210
- Open Issues: 45
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-list - TensorFlow Transform - A library for preprocessing data with TensorFlow (Deep Learning Framework / High-Level DL APIs)
- awesome-python-machine-learning-resources - GitHub - 17% open · ⏱️ 25.08.2022): (Tensorflow实用程序)
README
# TensorFlow Transform
[](https://github.com/tensorflow/transform)
[](https://badge.fury.io/py/tensorflow-transform)
[](https://www.tensorflow.org/tfx/transform/api_docs/python/tft)
*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.
The output of `tf.Transform` is exported as a
[TensorFlow graph](http://tensorflow.org/guide/graphs) to use for training and
serving. Using the same graph for both training and serving can prevent skew
since the same transformations are applied in both stages.
For an introduction to `tf.Transform`, see the `tf.Transform` section of the
TFX Dev Summit talk on TFX
([link](https://www.youtube.com/watch?v=vdG7uKQ2eKk&feature=youtu.be&t=199)).
## Installation
The `tensorflow-transform`
[PyPI package](https://pypi.org/project/tensorflow-transform/) is the
recommended way to install `tf.Transform`:
```bash
pip install tensorflow-transform
```
### Build TFT from source
To build from source follow the following steps:
Create a virtual environment by running the commands
```
python3 -m venv
source /bin/activate
pip3 install setuptools wheel
git clone https://github.com/tensorflow/transform.git
cd transform
python3 setup.py bdist_wheel
```
This will build the TFT wheel in the dist directory. To install the wheel from
dist directory run the commands
```
cd dist
pip3 install tensorflow_transform--py3-none-any.whl
```
### Nightly Packages
TFT also hosts nightly packages at https://pypi-nightly.tensorflow.org on
Google Cloud. To install the latest nightly package, please use the following
command:
```bash
pip install --extra-index-url https://pypi-nightly.tensorflow.org/simple tensorflow-transform
```
This will install the nightly packages for the major dependencies of TFT such
as TensorFlow Metadata (TFMD), TFX Basic Shared Libraries (TFX-BSL).
### Notable Dependencies
TensorFlow is required.
[Apache Beam](https://beam.apache.org/) is required; it's the way that efficient
distributed computation is supported. By default, Apache Beam runs in local
mode but can also run in distributed mode using
[Google Cloud Dataflow](https://cloud.google.com/dataflow/) and other Apache
Beam
[runners](https://beam.apache.org/documentation/runners/capability-matrix/).
[Apache Arrow](https://arrow.apache.org/) is also required. TFT uses Arrow to
represent data internally in order to make use of vectorized numpy functions.
## Compatible versions
The following table is the `tf.Transform` package versions that are
compatible with each other. This is determined by our testing framework, but
other *untested* combinations may also work.
tensorflow-transform | apache-beam[gcp] | pyarrow | tensorflow | tensorflow-metadata | tfx-bsl |
------------------------------------------------------------------------------- | -----------------| --------|-------------------|---------------------|---------|
[GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) | 2.47.0 | 10.0.0 | nightly (2.x) | 1.15.0 | 1.15.1 |
[1.15.0](https://github.com/tensorflow/transform/blob/v1.15.0/RELEASE.md) | 2.47.0 | 10.0.0 | 2.15 | 1.15.0 | 1.15.1 |
[1.14.0](https://github.com/tensorflow/transform/blob/v1.14.0/RELEASE.md) | 2.47.0 | 10.0.0 | 2.13 | 1.14.0 | 1.14.0 |
[1.13.0](https://github.com/tensorflow/transform/blob/v1.13.0/RELEASE.md) | 2.41.0 | 6.0.0 | 2.12 | 1.13.1 | 1.13.0 |
[1.12.0](https://github.com/tensorflow/transform/blob/v1.12.0/RELEASE.md) | 2.41.0 | 6.0.0 | 2.11 | 1.12.0 | 1.12.0 |
[1.11.0](https://github.com/tensorflow/transform/blob/v1.11.0/RELEASE.md) | 2.41.0 | 6.0.0 | 1.15.5 / 2.10 | 1.11.0 | 1.11.0 |
[1.10.0](https://github.com/tensorflow/transform/blob/v1.10.0/RELEASE.md) | 2.40.0 | 6.0.0 | 1.15.5 / 2.9 | 1.10.0 | 1.10.0 |
[1.9.0](https://github.com/tensorflow/transform/blob/v1.9.0/RELEASE.md) | 2.38.0 | 5.0.0 | 1.15.5 / 2.9 | 1.9.0 | 1.9.0 |
[1.8.0](https://github.com/tensorflow/transform/blob/v1.8.0/RELEASE.md) | 2.38.0 | 5.0.0 | 1.15.5 / 2.8 | 1.8.0 | 1.8.0 |
[1.7.0](https://github.com/tensorflow/transform/blob/v1.7.0/RELEASE.md) | 2.36.0 | 5.0.0 | 1.15.5 / 2.8 | 1.7.0 | 1.7.0 |
[1.6.1](https://github.com/tensorflow/transform/blob/v1.6.1/RELEASE.md) | 2.35.0 | 5.0.0 | 1.15.5 / 2.8 | 1.6.0 | 1.6.0 |
[1.6.0](https://github.com/tensorflow/transform/blob/v1.6.0/RELEASE.md) | 2.35.0 | 5.0.0 | 1.15.5 / 2.7 | 1.6.0 | 1.6.0 |
[1.5.0](https://github.com/tensorflow/transform/blob/v1.5.0/RELEASE.md) | 2.34.0 | 5.0.0 | 1.15.2 / 2.7 | 1.5.0 | 1.5.0 |
[1.4.1](https://github.com/tensorflow/transform/blob/v1.4.1/RELEASE.md) | 2.33.0 | 4.0.1 | 1.15.2 / 2.6 | 1.4.0 | 1.4.0 |
[1.4.0](https://github.com/tensorflow/transform/blob/v1.4.0/RELEASE.md) | 2.33.0 | 4.0.1 | 1.15.2 / 2.6 | 1.4.0 | 1.4.0 |
[1.3.0](https://github.com/tensorflow/transform/blob/v1.3.0/RELEASE.md) | 2.31.0 | 2.0.0 | 1.15.2 / 2.6 | 1.2.0 | 1.3.0 |
[1.2.0](https://github.com/tensorflow/transform/blob/v1.2.0/RELEASE.md) | 2.31.0 | 2.0.0 | 1.15.2 / 2.5 | 1.2.0 | 1.2.0 |
[1.1.1](https://github.com/tensorflow/transform/blob/v1.1.1/RELEASE.md) | 2.29.0 | 2.0.0 | 1.15.2 / 2.5 | 1.1.0 | 1.1.1 |
[1.1.0](https://github.com/tensorflow/transform/blob/v1.1.0/RELEASE.md) | 2.29.0 | 2.0.0 | 1.15.2 / 2.5 | 1.1.0 | 1.1.0 |
[1.0.0](https://github.com/tensorflow/transform/blob/v1.0.0/RELEASE.md) | 2.29.0 | 2.0.0 | 1.15 / 2.5 | 1.0.0 | 1.0.0 |
[0.30.0](https://github.com/tensorflow/transform/blob/v0.30.0/RELEASE.md) | 2.28.0 | 2.0.0 | 1.15 / 2.4 | 0.30.0 | 0.30.0 |
[0.29.0](https://github.com/tensorflow/transform/blob/v0.29.0/RELEASE.md) | 2.28.0 | 2.0.0 | 1.15 / 2.4 | 0.29.0 | 0.29.0 |
[0.28.0](https://github.com/tensorflow/transform/blob/v0.28.0/RELEASE.md) | 2.28.0 | 2.0.0 | 1.15 / 2.4 | 0.28.0 | 0.28.1 |
[0.27.0](https://github.com/tensorflow/transform/blob/v0.27.0/RELEASE.md) | 2.27.0 | 2.0.0 | 1.15 / 2.4 | 0.27.0 | 0.27.0 |
[0.26.0](https://github.com/tensorflow/transform/blob/v0.26.0/RELEASE.md) | 2.25.0 | 0.17.0 | 1.15 / 2.3 | 0.26.0 | 0.26.0 |
[0.25.0](https://github.com/tensorflow/transform/blob/v0.25.0/RELEASE.md) | 2.25.0 | 0.17.0 | 1.15 / 2.3 | 0.25.0 | 0.25.0 |
[0.24.1](https://github.com/tensorflow/transform/blob/v0.24.1/RELEASE.md) | 2.24.0 | 0.17.0 | 1.15 / 2.3 | 0.24.0 | 0.24.1 |
[0.24.0](https://github.com/tensorflow/transform/blob/v0.24.0/RELEASE.md) | 2.23.0 | 0.17.0 | 1.15 / 2.3 | 0.24.0 | 0.24.0 |
[0.23.0](https://github.com/tensorflow/transform/blob/v0.23.0/RELEASE.md) | 2.23.0 | 0.17.0 | 1.15 / 2.3 | 0.23.0 | 0.23.0 |
[0.22.0](https://github.com/tensorflow/transform/blob/v0.22.0/RELEASE.md) | 2.20.0 | 0.16.0 | 1.15 / 2.2 | 0.22.0 | 0.22.0 |
[0.21.2](https://github.com/tensorflow/transform/blob/v0.21.2/RELEASE.md) | 2.17.0 | 0.15.0 | 1.15 / 2.1 | 0.21.0 | 0.21.3 |
[0.21.0](https://github.com/tensorflow/transform/blob/v0.21.0/RELEASE.md) | 2.17.0 | 0.15.0 | 1.15 / 2.1 | 0.21.0 | 0.21.0 |
[0.15.0](https://github.com/tensorflow/transform/blob/v0.15.0/RELEASE.md) | 2.16.0 | 0.14.0 | 1.15 / 2.0 | 0.15.0 | 0.15.0 |
[0.14.0](https://github.com/tensorflow/transform/blob/v0.14.0/RELEASE.md) | 2.14.0 | 0.14.0 | 1.14 | 0.14.0 | n/a |
[0.13.0](https://github.com/tensorflow/transform/blob/v0.13.0/RELEASE.md) | 2.11.0 | n/a | 1.13 | 0.12.1 | n/a |
[0.12.0](https://github.com/tensorflow/transform/blob/v0.12.0/RELEASE.md) | 2.10.0 | n/a | 1.12 | 0.12.0 | n/a |
[0.11.0](https://github.com/tensorflow/transform/blob/v0.11.0/RELEASE.md) | 2.8.0 | n/a | 1.11 | 0.9.0 | n/a |
[0.9.0](https://github.com/tensorflow/transform/blob/v0.9.0/RELEASE.md) | 2.6.0 | n/a | 1.9 | 0.9.0 | n/a |
[0.8.0](https://github.com/tensorflow/transform/blob/v0.8.0/RELEASE.md) | 2.5.0 | n/a | 1.8 | n/a | n/a |
[0.6.0](https://github.com/tensorflow/transform/blob/v0.6.0/RELEASE.md) | 2.4.0 | n/a | 1.6 | n/a | n/a |
[0.5.0](https://github.com/tensorflow/transform/blob/v0.5.0/RELEASE.md) | 2.3.0 | n/a | 1.5 | n/a | n/a |
[0.4.0](https://github.com/tensorflow/transform/blob/v0.4.0/RELEASE.md) | 2.2.0 | n/a | 1.4 | n/a | n/a |
[0.3.1](https://github.com/tensorflow/transform/blob/v0.3.1/RELEASE.md) | 2.1.1 | n/a | 1.3 | n/a | n/a |
[0.3.0](https://github.com/tensorflow/transform/blob/v0.3.0/RELEASE.md) | 2.1.1 | n/a | 1.3 | n/a | n/a |
[0.1.10](https://github.com/tensorflow/transform/blob/v0.1.10/RELEASE.md) | 2.0.0 | n/a | 1.0 | n/a | n/a |
## Questions
Please direct any questions about working with `tf.Transform` to
[Stack Overflow](https://stackoverflow.com) using the
[tensorflow-transform](https://stackoverflow.com/questions/tagged/tensorflow-transform)
tag.