updates pkgdown

DESCRIPTION

@@ -1,41 +1,41 @@
-Package: live
-Type: Package
-Title: Local Interpretable (Model-Agnostic) Visual Explanations
-Version: 1.5.10
-Authors@R: c(
-  person("Mateusz", "Staniak", role = c("cre","aut"),
-    email = "mateusz.staniak@math.uni.wroc.pl"),
-  person("Przemysław", "Biecek", role = "aut",
-    email = "przemyslaw.biecek@gmail.com")
-  )
-Description: Interpretability of complex machine learning models is a growing concern.
-    This package helps to understand key factors that drive the 
-    decision made by complicated predictive model (so called black box model). 
-    This is achieved through local approximations that are either based on 
-    additive regression like model or CART like model that allows for 
-    higher interactions. The methodology is based on Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>.
-    More details can be found in Staniak, Biecek (2018) <doi:10.32614/RJ-2018-072>.
-URL: https://github.com/ModelOriented/live
-BugReports: https://github.com/ModelOriented/live/issues
-License: MIT + file LICENSE
-Encoding: UTF-8
-LazyData: true
-RoxygenNote: 6.1.0
-Depends: R (>= 3.0.2), 
-Suggests: knitr,
-    rmarkdown,
-    testthat,
-    glmnet,
-    covr,
-    DALEX
-VignetteBuilder: knitr
-Imports: mlr, 
-    dplyr,
-    breakDown,
-    data.table,
-    forestmodel,
-    shiny,
-    MASS,
-    ggplot2,
-    gower,
-    e1071
+Package: live
+Type: Package
+Title: Local Interpretable (Model-Agnostic) Visual Explanations
+Version: 1.5.10
+Authors@R: c(
+  person("Mateusz", "Staniak", role = c("cre","aut"),
+    email = "mateusz.staniak@math.uni.wroc.pl"),
+  person("Przemysław", "Biecek", role = "aut",
+    email = "przemyslaw.biecek@gmail.com")
+  )
+Description: Interpretability of complex machine learning models is a growing concern.
+    This package helps to understand key factors that drive the 
+    decision made by complicated predictive model (so called black box model). 
+    This is achieved through local approximations that are either based on 
+    additive regression like model or CART like model that allows for 
+    higher interactions. The methodology is based on Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>.
+    More details can be found in Staniak, Biecek (2018) <doi:10.32614/RJ-2018-072>.
+URL: https://github.com/ModelOriented/live
+BugReports: https://github.com/ModelOriented/live/issues
+License: MIT + file LICENSE
+Encoding: UTF-8
+LazyData: true
+RoxygenNote: 6.1.1
+Depends: R (>= 3.0.2), 
+Suggests: knitr,
+    rmarkdown,
+    testthat,
+    glmnet,
+    covr,
+    DALEX
+VignetteBuilder: knitr
+Imports: mlr, 
+    dplyr,
+    breakDown,
+    data.table,
+    forestmodel,
+    shiny,
+    MASS,
+    ggplot2,
+    gower,
+    e1071

NAMESPACE

@@ -1,28 +1,14 @@
-# Generated by roxygen2: do not edit by hand
-
-S3method(plot,live_explainer)
-S3method(plot,local_permutation_importance)
-S3method(print,live_explainer)
-S3method(print,live_explorer)
-S3method(print,local_permutation_importance)
-export(add_predictions)
-export(euclidean_kernel)
-export(fit_explanation)
-export(gaussian_kernel)
-export(identity_kernel)
-export(live_shiny)
-export(local_approximation)
-export(local_permutation_importance)
-export(sample_locally)
-import(ggplot2)
-import(mlr)
-import(shiny)
-importFrom(dplyr,desc)
-importFrom(graphics,plot)
-importFrom(stats,as.formula)
-importFrom(stats,model.matrix)
-importFrom(stats,predict)
-importFrom(stats,reorder)
-importFrom(stats,sd)
-importFrom(stats,weighted.mean)
-importFrom(utils,head)
+# Generated by roxygen2: do not edit by hand
+
+import(ggplot2)
+import(mlr)
+import(shiny)
+importFrom(dplyr,desc)
+importFrom(graphics,plot)
+importFrom(stats,as.formula)
+importFrom(stats,model.matrix)
+importFrom(stats,predict)
+importFrom(stats,reorder)
+importFrom(stats,sd)
+importFrom(stats,weighted.mean)
+importFrom(utils,head)