Interactive Assessments of Models
Gets the config and translate to a sentence with the parameter values
Explore model results
Returns the name of predictions column for the first level variable
Returns the first level of a classification model
Returns the hover columns to be displayed in interactive plots
Extract data from objects to use in a shiny app
This function takes result of organize_data to calculate and reformat ...
Pipe operator
Visualizing the confusion matrix for a classification model
Visualizing predicted probability vs. true class for a multi-class cla...
Visualizing the PR curve for a classification model
Visualizing the predicted probabilities vs. a factor variable for a cl...
Visualizing the predicted probabilities vs. a numeric column for a cla...
Visualizing the ROC curve for a classification model
Visualizing observed vs. predicted values for a regression model
Visualizing residuals vs. a factor column for a regression model
Visualizing residuals vs. a numeric column for a regression model
Visualizing residuals vs. predicted values for a regression model
Visualizing the confusion matrix for a classification model
Visualizing predicted probability vs. true class for a two-class class...
Visualizing the PR curve for a classification model
Visualizing the predicted probabilities vs. a factor variable for a cl...
Visualizing the predicted probabilities vs. a numeric column for a cla...
Visualizing the ROC curve for a classification model
Returns the class, app type, y name, and the number of rows of an obje...
Objects exported from other packages
Internal function to run shiny application on an object of `shiny_data...
shinymodels: Interactive Assessments of Models
Launch a 'shiny' application for 'tidymodels' results. For classification or regression models, the app can be used to determine if there is lack of fit or poorly predicted points.
Useful links