use r-keras env by default

NEWS.md

@@ -2,6 +2,10 @@
 
 - Default TF version installed by `install_keras()` is now 2.13.
 
+- `install_keras()` `envname` argument default changes to `"r-keras"`. Unless
+  the `envname` argument is supplied, `install_keras()` will install into a
+  virtual environment named "r-keras".
+
 - Updated layers:
   - `layer_batch_normalization()` updated signature, with changes to options for distributed training.
   - `layer_embedding()` gains a `sparse` argument.

R/install.R

@@ -25,6 +25,7 @@ install_keras <- function(method = c("auto", "virtualenv", "conda"),
                           tensorflow = version,
                           extra_packages = NULL,
                           ...,
+                          envname = "r-keras",
                           pip_ignore_installed = TRUE) {
   method <- match.arg(method)
 
@@ -53,6 +54,7 @@ install_keras <- function(method = c("auto", "virtualenv", "conda"),
     conda = conda,
     version = tensorflow,
     extra_packages = pkgs,
+    envname = envname,
     pip_ignore_installed = pip_ignore_installed,
     ...
   )

R/package.R

@@ -109,7 +109,7 @@ keras <- NULL
 
     priority = 10, # tensorflow priority == 5
 
-    environment = "r-tensorflow",
+    environment = "r-keras",
 
     get_module = function() {
       resolve_implementation_module()