SvenCelin commented on a change in pull request #1071:
URL: https://github.com/apache/systemds/pull/1071#discussion_r497408793



##########
File path: scripts/builtin/ppca.dml
##########
@@ -0,0 +1,154 @@
+#-------------------------------------------------------------
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+#
+#-------------------------------------------------------------
+
+# This script performs Probabilistic Principal Component Analysis (PCA) on the 
given input data.
+# It is based on paper: sPCA: Scalable Principal Component Analysis for Big 
Data on Distributed
+# Platforms. Tarek Elgamal et.al.
+
+# INPUT PARAMETERS:
+# 
---------------------------------------------------------------------------------------------
+# NAME         TYPE   DEFAULT  MEANING
+# 
---------------------------------------------------------------------------------------------
+# X            String ---      location to read the matrix X input matrix
+# k            Int    ---      indicates dimension of the new vector space 
constructed from eigen vectors
+# tolobj       Int    0.00001  objective function tolerance value to stop ppca 
algorithm
+# tolrecerr    Int    0.02     reconstruction error tolerance value to stop 
the algorithm
+# iter         Int    10       maximum number of iterations
+# fmt          String 'text'   output format of results PPCA such as "text" or 
"csv"
+# hadoop jar SystemDS.jar -f PPCA.dml -nvargs X=/INPUT_DIR/X  C=/OUTPUT_DIR/C 
V=/OUTPUT_DIR/V k=2 tol=0.2 iter=100

Review comment:
       Done.




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