Split up API into multiple subsections // Added installation from source to... authored by thiuda's avatar thiuda
Split up API into multiple subsections // Added installation from source to Installation // Added general information to Home
## Tutorials
* [Installation of conML](installation)
* [Quickstart](quickstart)
# Constructivist Machine Learning (conML)
This is the official documentation for the conML Python package. The R and Julia package you'll find [here](https://git.informatik.uni-leipzig.de/ml-group/conml).
## How-To Guides
* [Where do I find the application config folder?](./guides#where-do-I-find-the-application-config-folder)
* [Where do I find find the settings files?](./guides#where-do-I-find-find-the-settings-files)
* [How to read a settings files?](./guides#how-to-read-a-settings-files)
* [How to create a constructor?](./guides#how-to-create-a-constructor)
* [How to modify the behaviour of a constructor?](./guides#how-to-modify-the-behaviour-of-a-constructor)
* [How to create a reconstructor?](./guides#how-to-create-a-reconstructor)
* [How to modify the behaviour of a reconstructor?](./guides#how-to-modify-the-behaviour-of-a-reconstructor)
* [How to create a deconstructor?](./guides#how-to-create-a-deconstructor)
* [How to modify the behaviour of a deconstructor?](./guides#how-to-modify-the-behaviour-of-a-deconstructor)
* [How to load a knowledge database?](./guides#how-to-load-a-knowledge-database)
* [How to save a knowledge database?](./guides#how-to-save-a-knowledge-database)
* [How to continue a knowledge search?](./guides#how-to-continue-a-knowledge-search)
* [How to perform the knowledge search in parallel?](./guides#how-to-perform-the-knowledge-search-in-parallel)
* [Where do I find the log files?](./guides#where-do-I-find-the-log-files)
## Table of Contents
* [Home](Home)
* Tutorials
* [Installation of conML](Installation)
* [Quickstart](Quickstart)
* Explanations
* [Construction](Explanations/Construction)
* [Reconstruction](Explanations/Reconstruction)
* [Deconstruction](Explanations/Deconstruction)
* References
* [API](References/API)
* [Domain](References/Domain)
* [Usecases](References/Usecases)
* [Ports](References/Ports)
* [Shared](References/Shared)
* [FAQ](FAQ)
## Reference
* [API](api)
* Domain
* Construction
* Reconstruction
* Deconstruction
* Knowledge database
* Lernblock identification
* Usecases
* Ports
* scikit-learn Adapter
* pandas Adapter
* ckmeans Adapter
* krippendorff Adapter
* Shared
* Exceptions
* Logging
* Settings
* Parameter
## Background
conML is based on [PhD thesis](https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-318388) of Dr. Thomas Schmid.
## Explanation
* [Constructivst Machine Learning](./Explanations/conML)
* [Construction](./Explanations/Construction)
* [Reconstruction](./Explanations/Reconstruction)
* [Deconstruction](./Explanations/Deconstruction)
## Official Website
You'll find more information about Constructivist Machine Learning at [constructivist.ml](https://www.constructivist.ml/).
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