Flink ML is a library which provides machine learning (ML) APIs and infrastructures that simplify the building of ML pipelines. Users can implement ML algorithms with the standard ML APIs and further use these infrastructures to build ML pipelines for both training and inference jobs.
Flink ML is developed under the umbrella of Apache Flink.
Python Packaging
Prerequisites for building apache-flink-ml:
- Unix-like environment (we use Linux, Mac OS X)
- Python version(3.7 or 3.8) is required
Then go to the root directory of flink-ml-python source code and run this command to build the sdist package of apache-flink-ml:
cd flink-ml-python; python setup.py sdist;
The sdist package of apache-flink-ml will be found under ./flink-ml-python/dist/. It could be used for installation, such as:
python -m pip install dist/*.tar.gz
Metadata
Release files for apache-flink-ml 2.3.0
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 |
|---|---|---|---|---|
| apache-flink-ml-2.3.0.tar.gz | 3.4 MB | Without provenance | Details for apache-flink-ml-2.3.0.tar.gz |
Release files / apache-flink-ml-2.3.0.tar.gz
| Download URL | apache-flink-ml-2.3.0.tar.gz |
|---|---|
| Size | 3.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
dcff20eff7691791f8b562700cde7a248169d612ab6ea47df8a5a2069abf5912
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BLAKE2b-256 checksum How to use checksums |
8282bd7e6abc8286e8ea1e7d34196bb6bd153308b7764d621a65bfee91939900
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.0 pkginfo/1.8.3 requests/2.28.1 setuptools/60.10.0 requests-toolbelt/0.10.0 tqdm/4.64.0 CPython/3.7.13
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Security for apache-flink-ml 2.3.0
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