update tf eagerness in R package

R-package/DESCRIPTION

@@ -1,6 +1,6 @@
 Package: ivis
 Title: Artificial neural network-driven visualization of high-dimensional data using triplets. 
-Version: 1.5.2
+Version: 1.5.3
 Authors@R: c(person("Benjamin", "Szubert", email = "[email protected]", role = c("aut", "cre")),
          person("Ignat", "Drozdov", email = "[email protected]", role = c("aut")),
          person("Kevin", "Rue-Albrecht", role = "ctb", email = "[email protected]", comment = c(ORCID = "0000-0003-3899-3872")))

R-package/R/ivis.R

@@ -56,6 +56,8 @@
 #'                    be used. Otherwise, a new index will be generated and
 #'                    saved to disk in the current directory as
 #'                    'annoy.index'.
+#' @param eager_execution: Whether to use eager execution with TensorFlow.
+#                     Disabled by default, as training is much faster with this option off. 
 #' @param verbose:    Controls the volume of logging output the model
 #'                    produces when training. When set to 0, silences
 #'                    outputs, when above 0 will print outputs.
@@ -74,6 +76,7 @@ ivis <- function(embedding_dims = 2L,
     model = "default",
     supervision_metric = "sparse_categorical_crossentropy",
     supervision_weight = 0.5,
+    eager_execution = FALSE,
     annoy_index_path=NULL, verbose=1L){
 
 
@@ -97,6 +100,7 @@ ivis <- function(embedding_dims = 2L,
                               supervision_metric=supervision_metric,
                               supervision_weight=supervision_weight,
                               annoy_index_path=annoy_index_path,
+                              eager_execution=eager_execution,
                               verbose=verbose)
 
     return(model)

ivis/version.py

@@ -1 +1 @@
-VERSION = '1.5.2'
+VERSION = '1.5.3'