Edge-ML algorithms

3 modules to realize all your Machine Learning projects,
From the data preparation to the supervised classification

StarterAuto Data Preparation

This preprocessing module improves the data preparation step, before using regular Machine Learning algorithms. In particular, it allows any classifier to be much more robust thanks to the recoding of data. Furthermore, the training stage is accelerated thanks to a reliable and efficient variable selection algorithm.

MediumAuto Modeling

This module allows one to automatically produce Machine Learning models. The duration of the projects is considerably shortened and the required hardware resources are drastically reduced. The learned models are extremely reliable and its have an accuracy close to the optimal. The use of models in production is durable and secure.
 

PremiumAuto Feature Engineering

NewThis module automatically processes tabular data, as well as unstructured data of the kind "sequences" (eg texts, web sessions, application logs ...). The sequential rules are extracted from raw data, without any pre-processing. These rules describe the data and are used to learn an accurate and very robust model.

Available features
 Features Inforation Starter Starter Starter
         
 Learning of univariate discretization and grouping models Bouton video Coche verte 30x30 Coche verte 30x30 Coche verte 30x30
 Data recoding (gain of robustness) Bouton video Coche verte 30x30 Coche verte 30x30 Coche verte 30x30
 Detection of non-informative variables (not correlated to the target)  Bouton video Coche verte 30x30 Coche verte 30x30 Coche verte 30x30
 Calibration of any probabilistic classifier  Bouton video Coche verte 30x30 Coche verte 30x30 Coche verte 30x30
         
 Automated learning of ensemble classifiers  Bouton video   Coche verte 30x30 Coche verte 30x30
 Evaluation of the models  Bouton video   Coche verte 30x30 Coche verte 30x30
 Predictions by using the models Bouton video   Coche verte 30x30 Coche verte 30x30
 Evaluation of drift levels Bouton video   Coche verte 30x30 Coche verte 30x30
         
 Seqeuntial rules extraction  Bouton video     Coche verte 30x30
 Data recoding as binary variables  Bouton video     Coche verte 30x30
 Automated learning of the models from sequential variables Bouton video     Coche verte 30x30
         
These modules run as a command line (compatibility with all programing languages ) or it runs through a Python wrapper