Overview
Provides functions to score input records using PMML models and to interact with the Watson Machine Learning (WML) repository.
This package exposes the com.ibm.streams.pmml toolkit as Python methods for use with Streaming Analytics service on IBM Cloud and IBM Streams including IBM Cloud Pak for Data.
For details on PMML see Predictive Model Markup Language.
For details on WML see Watson Machine Learning Service.
Documentation
Release files for streamsx.pmml 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| streamsx.pmml-1.0.7.tar.gz | 9.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| streamsx.pmml-1.0.7-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 20.1 kB
Release files / streamsx.pmml-1.0.7.tar.gz
| Download URL | streamsx.pmml-1.0.7.tar.gz |
|---|---|
| Size | 9.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
67394d3f16c85a8bb1fa869629f761af97e7aafe96933fa531dd0ee968414fa6
|
|
BLAKE2b-256 checksum How to use checksums |
4f629ad0f1b63092b222441259ca5380402597e0c8d6f630e3b604de07d8b797
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.6
|
Release files / streamsx.pmml-1.0.7-py2.py3-none-any.whl
| Download URL | streamsx.pmml-1.0.7-py2.py3-none-any.whl |
|---|---|
| Size | 10.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
3d63b073c55d0c1f9e7edf24ff2272e3a7eac161658407244858104e131b2ff0
|
|
BLAKE2b-256 checksum How to use checksums |
23d756763704b6de5da7cd4f4871265054cb32081a49cae9b94635885fcf0444
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.6
|