/
Notebooks
Notebooks
The Notebooks module allows the Data Scientists that work with the platform to:
Create algorithms in a centralized web environment
Publish these algorithms as APIS REST so that other users can consume them
These algorithms can be created in different languages, such as Python, Spark, R, Tensorflow, Keras, ...
The platform ensures that Data Scientists only have access to the information (ontologies) that corresponds to them, thus enabling the creation of a secure and complete DataLake.
Related content
MLOps on MLFlow
MLOps on MLFlow
Read with this
A look at the Notebooks
A look at the Notebooks
More like this
Using the platform interpreter in the Notebooks
Using the platform interpreter in the Notebooks
More like this
Model Notebooks
Model Notebooks
More like this
(Notebooks) %onesaitplatform Interpreter Reference
(Notebooks) %onesaitplatform Interpreter Reference
More like this
A look at the Models Manager
A look at the Models Manager
More like this