From dc31d4f9932e9f99dcb214e6f260470ff7630726 Mon Sep 17 00:00:00 2001
From: Tomasz Kalinowski <kalinowskit@gmail.com>
Date: Mon, 17 Jul 2023 17:07:00 -0400
Subject: [PATCH] redocument

---
 R/layers-embedding.R   | 7 +++++--
 man/install_keras.Rd   | 2 +-
 man/layer_embedding.Rd | 6 ++++--
 3 files changed, 10 insertions(+), 5 deletions(-)

diff --git a/R/layers-embedding.R b/R/layers-embedding.R
index bf00ffa2e..abc07ee62 100644
--- a/R/layers-embedding.R
+++ b/R/layers-embedding.R
@@ -13,6 +13,8 @@
 #' This layer accepts `tf.Tensor`, `tf.RaggedTensor` and `tf.SparseTensor`
 #' input.
 #'
+#' @param object Layer or Model object
+#'
 #' @param input_dim Integer. Size of the vocabulary,
 #' i.e. maximum integer index + 1.
 #'
@@ -21,8 +23,8 @@
 #' @param embeddings_initializer Initializer for the `embeddings`
 #' matrix (see `keras.initializers`).
 #'
-#' @param embeddings_regularizer Regularizer function applied to
-#' the `embeddings` matrix (see `keras.regularizers`).
+#' @param embeddings_regularizer,activity_regularizer Regularizer function applied to
+#' the `embeddings` matrix or to the activations (see `keras.regularizers`).
 #'
 #' @param embeddings_constraint Constraint function applied to
 #' the `embeddings` matrix (see `keras.constraints`).
@@ -44,6 +46,7 @@
 #' the layer returns a dense `tf.Tensor`. For an entry with no features in
 #' a sparse tensor (entry with value 0), the embedding vector of index 0 is
 #' returned by default.
+#'
 #' @param ... standard layer arguments.
 #'
 #' @section Input shape: 2D tensor with shape: `(batch_size, sequence_length)`.
diff --git a/man/install_keras.Rd b/man/install_keras.Rd
index 88a2881bd..c9a5273e1 100644
--- a/man/install_keras.Rd
+++ b/man/install_keras.Rd
@@ -26,7 +26,7 @@ See \strong{Finding Conda} and \code{\link[reticulate:conda_binary]{conda_binary
 
 \item{version}{TensorFlow version to install. Valid values include:
 \itemize{
-\item \code{"default"} installs  2.11
+\item \code{"default"} installs  2.13
 \item \code{"release"} installs the latest release version of tensorflow (which may
 be incompatible with the current version of the R package)
 \item A version specification like \code{"2.4"} or \code{"2.4.0"}. Note that if the patch
diff --git a/man/layer_embedding.Rd b/man/layer_embedding.Rd
index 7b362eb99..9399f7199 100644
--- a/man/layer_embedding.Rd
+++ b/man/layer_embedding.Rd
@@ -19,6 +19,8 @@ layer_embedding(
 )
 }
 \arguments{
+\item{object}{Layer or Model object}
+
 \item{input_dim}{Integer. Size of the vocabulary,
 i.e. maximum integer index + 1.}
 
@@ -27,8 +29,8 @@ i.e. maximum integer index + 1.}
 \item{embeddings_initializer}{Initializer for the \code{embeddings}
 matrix (see \code{keras.initializers}).}
 
-\item{embeddings_regularizer}{Regularizer function applied to
-the \code{embeddings} matrix (see \code{keras.regularizers}).}
+\item{embeddings_regularizer, activity_regularizer}{Regularizer function applied to
+the \code{embeddings} matrix or to the activations (see \code{keras.regularizers}).}
 
 \item{embeddings_constraint}{Constraint function applied to
 the \code{embeddings} matrix (see \code{keras.constraints}).}