shinyML 0.2.0 (2019-10-28)

New features

Informations about cluster memory and number of used CPU(s) are now available on the left side when running shiny_h2o and shiny_h2o functions
Three new tabs are now available at the top of the shiny_h2o and shiny_h2o dashboards to explore input data set. The Variable Summary tab allows to check types and box plot of each input variable. The Explore dataset tab gives the possibility to understand dependencies by plotting each data variable as a function of another. An overview of all variables dependencies is also available in the Correlation matrix tab.

Output tabs like Compare models performances, Feature importance and Table of results are now hidden when no model has been runed. It showed a message indicating that ouput couldn’t be calculated because no model was trained.
x input parameter of shiny_h2o and shiny_h2o have been removed to give even more simplicity for the user: the dashboard now indicates at the top right of the dashboard which input variable are available to train the model (output variable y is automatically removed from the list).

Intercept term button for Generalized linear regression model has changed on both functions due to problem on the UI: the cursor was not at the right position when selected.
Link button of Generalized linear regression model doesn’t have any effect on the output variable due to omission to take this parameter in account. This issue has been fixed.

autoML method is now working on shiny_h2o function: the user now just need to set maximum calculation time.

Default share_app argument of shiny_h2o and shiny_spark examples have been set to FALSE.