nyoka | Python library that helps to export ML models | Machine Learning library

by SoftwareAG Python Version: 5.2.0 License: Apache-2.0

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kandi X-RAY | nyoka Summary

nyoka is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. nyoka has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Nyoka is a Python library for comprehensive support of the latest PMML (PMML 4.4) standard. Using Nyoka, Data Scientists can export a large number of Machine Learning models from popular Python frameworks into PMML by either using any of the numerous included ready-to-use exporters or by creating their own exporter for specialized/individual model types by simply calling a sequence of constructors. Besides about 500 Python classes which each cover a PMML tag and all constructor parameters/attributes as defined in the standard, Nyoka also provides an increasing number of convenience classes and functions that make the Data Scientist’s life easier for example by reading or writing any PMML file in one line of code from within your favorite Python environment. Nyoka comes to you with the complete source code in Python, extended HTML documentation for the classes/functions, and a growing number of Jupyter Notebook tutorials that help you familiarize yourself with the way Nyoka supports you in using PMML as your favorite Data Science transport file format. Read the documentation at Nyoka Documentation.

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nyoka has a low active ecosystem.

It has 155 star(s) with 35 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 42 have been closed. On average issues are closed in 86 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nyoka is 5.2.0

Quality

nyoka has 0 bugs and 0 code smells.

Security

nyoka has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nyoka code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nyoka is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

nyoka releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

nyoka saves you 280226 person hours of effort in developing the same functionality from scratch.

It has 256505 lines of code, 29687 functions and 139 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed nyoka and discovered the below as its top functions. This is intended to give you an instant insight into nyoka implemented functionality, and help decide if they suit your requirements.

Generate the PMM .
Generate build standard element .
Process validator body restrictions .
Generate an export function for the given child .
Parses and generates an XschemaXML file .
Generates the export function for the given child .
Set the type constants for the given name space .
Generate build attributes .
Generates the export function for the given element .
Initialize the class attributes .

Get all kandi verified functions for this library.

nyoka Key Features

No Key Features are available at this moment for nyoka.

nyoka Examples and Code Snippets

No Code Snippets are available at this moment for nyoka.

Community Discussions

Trending Discussions on nyoka

nyoka AttributeError: The layer has never been called and thus has no defined input shape

QUESTION

nyoka AttributeError: The layer has never been called and thus has no defined input shape

Asked 2019-Jul-14 at 09:43

I'm trying to output a trained Tensorflow 2.0 model to PMML using the nyoka package. When I do so, it errors out. The problem seems to be different from that in this answer, even though the error is the same, because my model does not have a complicated creation function and does, in fact, train appropriately and transform appropriately.

...

ANSWER

Answered 2019-Jul-14 at 09:43

This is Tensorflow's error. If you can print input_shape and output_shape or weights for each layer then you will be able to export it using Nyoka also.

Source https://stackoverflow.com/questions/56939854

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install nyoka

You can install nyoka using:.

Support

You can ask questions at:. Please note that this project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms. These tools are provided as-is and without warranty or support. They do not constitute part of the Software AG product suite. Users are free to use, fork and modify them, subject to the license agreement. While Software AG welcomes contributions, we cannot guarantee to include every contribution in the master project.

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