From ece5d0c145b8f916b52e0e7c2c388203faa1a971 Mon Sep 17 00:00:00 2001
From: AlexMili <mili.alexandre@gmail.com>
Date: Mon, 21 Nov 2016 11:57:16 +0100
Subject: [PATCH] 1.6.1 Release

---
 NEWS.md                              |  3 +++
 README.md                            | 17 +++----------
 rocks/torch-dataframe-1.6-1.rockspec | 37 ++++++++++++++++++++++++++++
 3 files changed, 44 insertions(+), 13 deletions(-)
 create mode 100644 rocks/torch-dataframe-1.6-1.rockspec

diff --git a/NEWS.md b/NEWS.md
index 930b917..d1bd43f 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -3,6 +3,9 @@ News file for torch-dataframe
 
 Version: development
 --------------------
+
+Version: 1.6.1
+--------------------
 * The get_max_value/get_min_value use torch.max/min when no missing data is present in the column
 * Fixed upgrade_frame bug
 * Fixed bug with saving CSV-files when they contain boolean values
diff --git a/README.md b/README.md
index d277709..ff5bd59 100644
--- a/README.md
+++ b/README.md
@@ -79,20 +79,11 @@ luarocks install torch-dataframe
 
 ## Changelog
 
-Version: 1.6
+Version: 1.6.1
 --------------------
-* The data is now stored in Dataseries that handles all the manipulations, statistics, categoricals, etc internally. The data backend is either a tensor or a tds.Vec in order to better accomodate large datasets.
-* The self.columns has been dropped and there is now only self.column_order that keeps track of column order.
-* Most functions now use either tds.Hash or tds.Vec for returning values instead of regular tables.
-* The data types are now more sophisticate with boolean, integer, long, double, and string. The first and the last are internally stored as `tds.Vec` while the remaining are in the form of torch tensors.
-* Since conversions are more restricted with the new column types the is a boolean2tensor and boolean2categorical that help converting boolean columns into numerical.
-* The `Dataframe.schema` property has been removed as it now resides in the series. The same information can be retrieved using `get_schema()`.
-* There is now a custom busted assertion that can compare tensors, tds, and Dataseries.
-* The csv data is entered using csvigo's `large` mode thus circumventing the memory limit for large csv's.
-* The to_/from_categorical now always return a single value when a single value is entered.
-* Add column now takes a Dataseries instead of a Df_Array
-* Generalized the argcheck by adding string.split for `|` separated arguments
-* Multiple minor bug-fixes with non-local variables
+* The get_max_value/get_min_value use torch.max/min when no missing data is present in the column
+* Fixed upgrade_frame bug
+* Fixed bug with saving CSV-files when they contain boolean values
 
 See `NEWS.md` file for previous changes.
 
diff --git a/rocks/torch-dataframe-1.6-1.rockspec b/rocks/torch-dataframe-1.6-1.rockspec
new file mode 100644
index 0000000..6ca4b5b
--- /dev/null
+++ b/rocks/torch-dataframe-1.6-1.rockspec
@@ -0,0 +1,37 @@
+package = "torch-dataframe"
+version = "1.6-1"
+source = {
+	url = "https://github.com/alexmili/torch-dataframe/archive/v1.6-1.tar.gz",
+	dir = "torch-dataframe-1.6-1"
+}
+
+description = {
+		summary = "A Dataframe class for Torch",
+		detailed = [[
+			 Dataframe is a Torch7 class to load and manipulate
+			 Kaggle-style CSVs inspired from R's and pandas' Dataframes.
+			 Compatible with torchnet.
+		]],
+		homepage = "https://github.com/alexmili/torch-dataframe",
+		license = "MIT/X11",
+		maintainer = "AlexMili"
+}
+dependencies = {
+		"lua >= 5.1",
+		"torch >= 7.0",
+		"argcheck >= 2.0",
+		"luafilesystem >= 1.6.3",
+		"paths",
+		"torchnet >= 1.0",
+		"threads >= 1.0",
+		"tds",
+		"nn"
+}
+build = {
+   type = "cmake",
+   variables = {
+      CMAKE_BUILD_TYPE="Release",
+      LUA_PATH="$(LUADIR)",
+      LUA_CPATH="$(LIBDIR)"
+   }
+}