Nothing
shiny_h2o
and shiny_spark
functions now integrate density curves. shiny_h2o
and shiny_spark
functions ensure reproducibility of results when user reproduce the same parameters for a given machine learning modelshiny_h2o
and shiny_spark
functions now work with an input dataset that contains a POSIXct columnshiny_h2o
and shiny_spark
functions have merged into shinyML_regression
function: H2O or Spark can now be chosen just using the framework
argument. shinyML_classification
has been implemented to train and test machine learning models for classification tasks : classification results can be viewed through confusion matrix charts in addition to existing available item on old package versions . shinyML_regression
or shinyML_classification
function, authorized model families for auto ML searching can be manually specified. shinyML_regression
and shinyML_classification
functions : argonDash
and argonR
shiny API have been used to make user experience even more friendly.shinyML_regression
and shinyML_classification
automatically detect if input dataset contains a time-based column: in that case, training and testing dataset splitting is done in order to respect chronology. On the other case, rows are randomly assigned to training or testing dataset according to a splitting percentage parameter. shiny_h2o
and shiny_h2o
functions 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.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). shiny_h2o
function: the user now just need to set maximum calculation time. share_app
argument of shiny_h2o
and shiny_spark
examples have been set to FALSE.Any scripts or data that you put into this service are public.
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