Fixed comments

Author: Nexxel

src/Library.cs

@@ -22,7 +22,7 @@ public static class Library
         public enum Backend
         {
             /// <summary>
-            /// DEFAULT Backend
+            /// DEFAULT Backend.
             /// </summary>
             // ReSharper disable once UnusedMember.Global
             KhivaBackendDefault = 0,
@@ -44,7 +44,7 @@ public enum Backend
         }
 
         /// <summary>
-        /// Getters and setters for the Khiva backend
+        /// Getters and setters for the Khiva backend.
         /// </summary>
         public static Backend CurrentBackend
         {
@@ -61,7 +61,7 @@ public static Backend CurrentBackend
         }
 
         /// <summary>
-        /// Supported Khiva backends 
+        /// Supported Khiva backends. 
         /// </summary>
         public static Backend SupportedBackends
         {
@@ -96,7 +96,7 @@ public static string BackendInfo
         }
 
         /// <summary>
-        /// Getter and setter for the Khiva device
+        /// Getter and setter for the Khiva device.
         /// </summary>
         public static int Device
         {
@@ -109,7 +109,7 @@ public static int Device
         }
 
         /// <summary>
-        /// Getter for the device count
+        /// Getter for the device count.
         /// </summary>
         public static int DeviceCount
         {
@@ -121,7 +121,7 @@ public static int DeviceCount
         }
 
         /// <summary>
-        /// Getter for the Khiva version
+        /// Getter for the Khiva version.
         /// </summary>
         public static string Version
         {

src/Matrix.cs

@@ -17,10 +17,10 @@ public static class Matrix
         /// <summary>
         /// Primitive of the findBestNDiscords function.
         /// </summary>
-        /// <param name="profile">The matrix profile containing the minimum distance of each subsequence</param>
-        /// <param name="index">The matrix profile index containing the index of the most similar subsequence</param>
-        /// <param name="m">Length of the matrix profile</param>
-        /// <param name="n">Number of discords to extract</param>
+        /// <param name="profile">The matrix profile containing the minimum distance of each subsequence.</param>
+        /// <param name="index">The matrix profile index containing the index of the most similar subsequence.</param>
+        /// <param name="m">Length of the matrix profile.</param>
+        /// <param name="n">Number of discords to extract.</param>
         /// <param name="selfJoin">Indicates whether the input profile comes from a self join operation or not. It determines
         /// whether the mirror similar region is included in the output or not.</param>
         /// <returns>Tuple with the distance of the best N discords, the indices of the best N discords and 
@@ -78,9 +78,8 @@ public static Tuple<KhivaArray, KhivaArray, KhivaArray> FindBestNMotifs(KhivaArr
         /// <param name="tssa">Query time series.</param>
         /// <param name="tssb">Reference time series.</param>
         /// <param name="m">Pointer to a long with the length of the subsequence.</param>
-        /// <returns>Tuple with 
-        /// the matrix profile, which has the distance to the closer element of the subsequence from 'tssa' in 'tssb' and 
-        /// the matrix profile index, which points to where the aforementioned minimum is located.</returns>
+        /// <returns>Tuple with the matrix profile, which has the distance to the closer element of the subsequence from
+        /// 'tssa' in 'tssb' and the matrix profile index, which points to where the aforementioned minimum is located.</returns>
         public static Tuple<KhivaArray, KhivaArray> Stomp(KhivaArray tssa, KhivaArray tssb, long m)
         {
             var aReference = tssa.Reference;
@@ -103,9 +102,9 @@ public static Tuple<KhivaArray, KhivaArray> Stomp(KhivaArray tssa, KhivaArray ts
         /// </summary>
         /// <param name="tss">Query and reference time series.</param>
         /// <param name="m">Pointer to a long with the length of the subsequence.</param>
-        /// <returns>Tuple with 
-        /// the matrix profile, which has the distance to the closer element of the subsequence from 'tss' in a different location of itself and
-        /// the matrix profile index, which points to where the aforementioned minimum is located.</returns>
+        /// <returns>Tuple with the matrix profile, which has the distance to the closer element of the subsequence from
+        /// 'tss' in a different location of itself and the matrix profile index, which points to where the aforementioned
+        ///  minimum is located.</returns>
         public static Tuple<KhivaArray, KhivaArray> StompSelfJoin(KhivaArray tss, long m)
         {
             var reference = tss.Reference;

src/Regression.cs

@@ -24,8 +24,7 @@ public static class Regression
         /// one indicates the number of time series.</param>
         /// <returns>Tuple with the slope of the regression line, the correlation coefficient, 
         /// the two-sided p-value for a hypothesis test whose null hypothesis is that the slope is zero, using Wald
-        /// Test with t-distribution of the test statistic and 
-        /// the standard error of the estimated gradient.</returns>
+        /// Test with t-distribution of the test statistic and the standard error of the estimated gradient.</returns>
         public static Tuple<KhivaArray, KhivaArray, KhivaArray, KhivaArray, KhivaArray> Linear(KhivaArray xss,
             KhivaArray yss)
         {

src/Regularization.cs

@@ -32,7 +32,7 @@ public static class Regularization
         ///             }
         ///</param>
         /// <param name="nColumnsKey">Number of columns conforming the key.</param>
-        /// <param name="nColumnsValue">Number of columns conforming the value (they are expected to be consecutive to the column</param>
+        /// <param name="nColumnsValue">Number of columns conforming the value (they are expected to be consecutive to the column.</param>
         /// <returns>An array with the values of the group keys aggregated using the aggregation_function.</returns>
         public static KhivaArray GroupBy(KhivaArray array, int aggregationFunction, int nColumnsKey = 1,
             int nColumnsValue = 1)