PgML Extension - Postgres Machine Learning
This package implements data processing, training and scoring of ML models inside Postgres from PL/Python functions. It is dependent on the internal to Postgres plpy connection and data access methods, so can only be used via a Postgres connection through the APIs exposed as native Postgres functions.
Installation
Postgres requires that this package is installed into the system Python packages space:
To install from pypi:
sudo pip3 install pgml-extension
To install from a clone of the repository:
sudo python3 setup.py install
Usage
See sql/install.sql for list of functions exposed through SQL. This package is not meant to be used directly.
2 maintainers
Release files for pgml-extension 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pgml-extension-1.0.1.tar.gz | 24.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pgml_extension-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 51.7 kB
Release files / pgml-extension-1.0.1.tar.gz
| Download URL | pgml-extension-1.0.1.tar.gz |
|---|---|
| Size | 24.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.10.6
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Release files / pgml_extension-1.0.1-py3-none-any.whl
| Download URL | pgml_extension-1.0.1-py3-none-any.whl |
|---|---|
| Size | 27.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.6
|
