TEIL C Library

The C Library is available to download at: https://github.com/asergiobranco/teil-c/releases.

Available ML Algorithms

Algorithm	Task	Documentation
Decision Tree	Classification	readthedocs
Decision Tree	Regression	readthedocs
Multi-Layer Percepton	Classification	readthedocs
Multi-Layer Percepton	Regression	readthedocs
SVM (Linear)	Classification	readthedocs
SVM (Linear)	Regression	readthedocs
SVM (RBF)	Classification	readthedocs
SVM (RBF)	Regression	readthedocs
SVM (Polynomial)	Classification	readthedocs
SVM (Polynomial)	Regression	readthedocs
PCA	Dimensionality Reduction / Decomposition
Gaussian Naive Bayes	Classification
Multinomial Naive Bayes	Classification

Compile the Code

One approach, if you are uing GCC, is to use the following command to compile your code and add TEIL

gcc -I /path/to/src *.c /path/to/teil.a -o main -lm

Docker

We provide an official Docker image to easily compile any model. To pull the image please use the following command:

docker pull asergiobranco/teil-gcc

This will pull the compiling image (note that the python package is not included in this).

Once downloaded, one can run the container with:

docker run -it -v ./:/workspace asergiobranco/teil-gcc

This will open the bash, which allows your to compile the model using the command:

root:/workspace$ gcc *.c -o main -lm -lteil

Useful Links

	URL
Download	https://github.com/asergiobranco/teil-c/releases
Github	https://github.com/asergiobranco/teil-c
Documentation	https://teil.readthedocs.io
Issues