Operational concept
Isalos tabs act like nodes: data are imported and exported in tabular format, and in between they are processed and transformed using specific functions.
A software application for data manipulation and model development
especially designed for non-coding experts.
Isalos tabs act like nodes: data are imported and exported in tabular format, and in between they are processed and transformed using specific functions.
The created data "pipelines" give the users the flexibility to interact, to experiment between different methodologies and compare their results, and have a complete supervision of the analysis.
The software provides users with an intuitive tool for the development of robust and validated models through menus, buttons, tabs, and spreadsheets; functions that are used regularly from any computer user.
Isalos is a software that offers a user-friendly and ready-to-use environment for machine learning applications. It provides many functionalities covering a wide range of standard data manipulation procedures.
Isalos offers functionalities that enable the users to prepare their data for modelling. These functionalities correspond to standard pre-processing steps for the development of machine learning workflows, such as normalization, filtering, variable selection, and data partitioning.
Isalos provides modelling functions for both classification and regression model development (e.g., XGBoost, kNN, MLP, RBF etc.) and allows —once developed— their use in different workflow steps.
Isalos holds several functions that permit to assess and measure the accuracy of the predictions (either classification or regression) and to define the applicability domain of the models.
Isalos provides the possibility to easily deploy and share the developed models as web-services for the broader community, via the Enalos Cloud Platform.
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