This technology automatically trains models to predict numbers from structured data (table). It allows the specification of the metrics to be optimized
This technology allows to train models able to predict a class from structured data (table) with the possibility to specify some parameters for the training
This technology makes it possible to train models capable of making predictions based on temporal observations by detecting the trend, the seasonality, the residual, etc.
This technology makes it possible to process structured but unlabeled data and to create homogeneous clusters of statistical individuals to then analyze them more easily