radiant.model 0.9.5.0

Major changes

• Various changes to the code to accomodate the use of shiny::makeReactiveBinding. The advantage is that the code generated for Report > Rmd and Report > R will no longer have to use r_data to store and access data. This means that code generated and used in the Radiant browser interface will be directly usable without the browser interface as well.
• Improved documentation and examples

radiant.model 0.9.2.3

Bug fixes

• Fix for https://github.com/radiant-rstats/radiant/issues/53

radiant.model 0.9.2.2

Major changes

• Show the interval used in prediction for Model > Regression and Model > logistic (e.g., “prediction” or “confidence” for linear regression)
• Auto complete in Model > Decision analysis now provides hints based on the current tree input and any others defined in the app. It also provides suggestions for the basic element of the tree (e.g., type: decision, type: chance, payoff, etc.)
• Updated user messages for Model > Decision analysis when input has errors

radiant.model 0.9.2.1

Major changes

• Default interval for predictions from a linear regression is now “confidence” rather than “prediction”
• Estimate model button indicates when the output has been invalidated and the model should be re-estimated
• Combined Evaluate classification Summary and Plot into Evaluate tab
• Upload and download data using the Rstudio file browser. Allows using relative paths to files (e.g., data or images inside an Rstudio project)

Minor changes

• Require shinyAce 0.3.0 in radiant.data and useSoftTabs for Model > Decision Analysis

radiant.model 0.9.1.0

Major changes

• Add Poisson as an option for Model > Simulate

Bug fixes

• Fix for #43 where scatter plot was not shown for a dataset with less than 1,000 rows
• Fixed example for logistic regression prediction plot
• Fix for case weights when minimum response value is 0

radiant.model 0.9.0.15

Minor changes

• Allow character variables in estimation and prediction
• Depend on DiagrammeR 1.0.0

radiant.model 0.9.0.13

Major changes

• Residual diagnostic plot for Neural Network regression
• Improved handling of case weights for logistic regression and neural networks

Minor changes

• Show number of observations used in training and validation in Model > Evaluate classification
• Use Elkan’s formula to adjust probabilities when using priors in crtree (rpart)
• Added options to customize tree generated using crtree (based on rpart)
• Better control of tree plot size in plot.crtree
• Cleanup of crtree code
• Improved printing of NN weights
• Option to change font size in NN plots
• Keyboard shortcut: Press return when cursor is in textInput to store residuals or predictions

Bug fixes

• Fix for tree labels when (negative) integers are used

radiant.model 0.9.0.8

Minor changes

• Cleanup of lists returned by evalbin and confusion
• Add intercept in coefficient tables that can be downloaded for linear and logistic regression or using write.coeff
• Convert logicals to factors in crtree to avoid labels < 0.5 and >= 0.5
• Improved labeling of decision tree splits in crtree. The tooltip (aka hover-over) will contain all levels used, but the tree label may be truncated as needed

Bug fixes

• Fix input reset when screen size or zoom level is changed

radiant.model 0.9.0.4

• Renamed ann to nn. The ann function is now deprecated

radiant.model 0.9.0.3

Major changes

• Prediction confidence interval provided for logistic regression based on blog post by [Gavin Simpson] (https://www.fromthebottomoftheheap.net/2017/05/01/glm-prediction-intervals-i/)
• Argument added to logistic to specify if profiling or the Wald method should be used for confidence intervals. Profiling will be used by default for datasets with fewer than 5,000 rows

radiant.model 0.9.0.2

Minor changes

• Left align tooltip in DiagrammeR plots (i.e., Model >Decision Analysis and Model > Classification and regression trees)
• Add information about levels in tree splits to tooltips (Model > Classification and regression trees)

Bug fixes

• Fix to ensure DiagrammeR plots are shown in Rmarkdown report generate in Report > Rmd or Report > R

radiant.model 0.9.0.1

Major changes

• Added option to generate normally distributed correlated data in Model > Simulate
• Added option to generate normally distributed simulated data with exact mean and standard deviation in Model > Simulate
• Long lines of code generated for Report > Rmd will be wrapped to enhance readability

Minor changes

• Default names when saving Decision Analysis input and output are now based on tree name
• Allow browser zoom for tree plots in Model > Decision Analysis and Model > Classification and Regression Trees
• Enhanced keyboard shortcuts for estimation and reporting
• Applied styler to code

Bug fixes

• Grid search specs ignored when Model > Simulate > Repeat is set to Simulate
• The number of repetitions in Model > Simulate was NA when grid search was used
• Fix for large weights that may cause an integer overflow
• Minor fix for coefficient plot in plot.logistic
• Fixed state setting for decision analysis sensitivity input
• Fixed for special characters (e.g., curly quote) in input for Model > Decision Analysis
• Check that costs are not assigned to terminal nodes in Decision Analysis Trees. Specifying a cost is only useful if it applies to multiple nodes in a branch. If the cost only applies to a terminal node adjust the payoff instead
• Ensure : are followed by a space in the YAML input to Model > Decision Analysis

radiant.model 0.8.7.4

Minor change

• Upgraded dplyr dependency to 0.7.1
• Upgraded tidyr dependency to 0.7

Bug fix

• Fix in crs when a tibble is passed

radiant.model 0.8.3.0

Major change

• Added option to use robust standard errors in Linear regression and Logistic regression. The HC1 covariance matrix is used to produce results consistent with Stata

Minor changes

• Moved coefficient formatting from summary.regress and summary.logistic to make result$coeff more easily accessible
• Added F-score to Model > Evaluate classification > Confusion

Bug fixes

• Fixed RSME typo
• Don’t calculate VIFs when stepwise regression selects only one explanatory variable

radiant.model 0.8.0.0

Major changes

• Added Model > Naive Bayes based on e1071
• Added Model > Classification and regression trees based on rpart
• Added Model > Collaborative Filtering and example dataset (data/cf.rda)
• Various enhancements to evaluate (binary) classification models
• Added Garson plot and moved all plots to the ANN > Plot tab

Minor changes

• Improved plot sizing for Model > Decision Analysis
• Show progress indicators if variable acquisition takes some time
• Expanded coefficient csv file for linear and logistic regression
• Show dataset name in output if dataframe passed directly to analysis function
• As an alternative to using the Estimate button to run a model you can now also use CTRL-enter (CMD-enter on mac)
• Use ALT-enter as a keyboard short-cut to generate code and sent to Report > Rmd or Report > R
• Improved documentation on how to customize plots in Report > Rmd or Report > R

Bug fixes

• Multiple tooltips in sequence in Decision Analysis
• Decision Analysis plot size in PDF was too small
• Replace histogram by distribution in regression plots
• Fix bug in regex for overlapping labels in variables section of Model > Decision Analysis
• Fixes for model with only an intercept (e.g., after stepwise regression)
• Update Predict settings when dataset is changed
• Fix for predict when using center or standardize with a command to generate the predictions
• Show full confusion matrix even if some elements are missing
• Fix for warnings when creating profit and gains charts
• Product dropdown for Model > Collaborative filtering did not list all variables

Deprecated

• Use of *_each is deprecated