Ampute header error fix

Author: anuunchin

scripts/builtin/ampute.dml

@@ -30,7 +30,6 @@
 # mech         a string [either "MAR", "MNAR", or "MCAR"] specifying the missingness mechanism. Chosen "MAR" and "MNAR" settings will be overridden if a non-default weight matrix is specified
 # weights      a weight matrix [shape: k-by-m], containing weights that will be used to calculate the weighted sum scores. Will be overridden if mech == "MCAR"
 # seed         a manually defined seed for reproducible RNG
-
 # -------------------------------------------------------------------------------------
 #
 # OUTPUT:

scripts/builtin/cooccurrenceMatrix.dml

@@ -18,18 +18,16 @@
 # under the License.
 #
 #-------------------------------------------------------------
-#
-# The implementation is based on
-# https://github.com/stanfordnlp/GloVe/blob/master/src/cooccur.c
-#
-#-------------------------------------------------------------
 
 ## Cleans and processes text data by removing punctuation, converting it to lowercase, and reformatting.
-## Adds an index column to the result.
+## Adds an index column to the result. The implementation is based on
+# https://github.com/stanfordnlp/GloVe/blob/master/src/cooccur.c
+#
 # INPUT:
 # ------------------------------------------------------------------------------
 # S     (Frame[Unknown]): 1D input data frame containing text data.
 # ------------------------------------------------------------------------------
+#
 # OUTPUT:
 # ------------------------------------------------------------------------------
 # result    (Frame[Unknown]): Processed text data with an index column.

scripts/builtin/differenceStatistics.dml

@@ -28,6 +28,11 @@
 # X        First Matrix to compare
 # Y        Second Matrix to compare
 # --------------------------------------------------------------------------------
+#
+# OUTPUT:
+# -------------------------------------------------------------------------------------
+# stats.   Difference statistics
+# -------------------------------------------------------------------------------------
 
 m_differenceStatistics = function(Matrix[Double] X, Matrix[Double] Y)  {
 

src/main/python/systemds/operator/algorithm/builtin/ampute.py

@@ -33,6 +33,16 @@ def ampute(X: Matrix,
     """
      This function injects missing values into a multivariate a given dataset, similarly to the ampute() method in R's MICE package.
     
+    
+    
+    :param X: a multivariate numeric dataset [shape: n-by-m]
+    :param prop: a number in the (0, 1] range specifying the proportion of amputed rows across the entire dataset
+    :param patterns: a pattern matrix of 0's and 1's [shape: k-by-m] where each row corresponds to a pattern. 0 indicates that a variable should have missing values and 1 indicating that a variable should remain complete
+    :param freq: a vector [length: k] containing the relative frequency with which each pattern in the patterns matrix should occur
+    :param mech: a string [either "MAR", "MNAR", or "MCAR"] specifying the missingness mechanism. Chosen "MAR" and "MNAR" settings will be overridden if a non-default weight matrix is specified
+    :param weights: a weight matrix [shape: k-by-m], containing weights that will be used to calculate the weighted sum scores. Will be overridden if mech == "MCAR"
+    :param seed: a manually defined seed for reproducible RNG
+    :return: amputed output dataset
     """
 
     params_dict = {'X': X}

src/main/python/systemds/operator/algorithm/builtin/differenceStatistics.py

@@ -35,6 +35,11 @@ def differenceStatistics(X: Matrix,
      they are different. This can be used for instance in comparison of lossy
      compression techniques, that reduce the fidelity of the data. 
     
+    
+    
+    :param X: First Matrix to compare
+    :param Y: Second Matrix to compare
+    :return: Difference statistics
     """
 
     params_dict = {'X': X, 'Y': Y}