dkerschbaumer commented on a change in pull request #1334:
URL: https://github.com/apache/systemds/pull/1334#discussion_r671194787
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File path: scripts/builtin/xgboostPredict.dml
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@@ -0,0 +1,147 @@
+# INPUT PARAMETERS:
+# ----------------------------------------------------------------------------
+# NAME TYPE DEFAULT MEANING
+# ----------------------------------------------------------------------------
+# X Matrix --- Matrix of feature
vectors we want to predict (X_test)
+# M Matrix --- The model created at
xgboost
+# sml_type Integer 1 Supervised machine
learning type: 1 = Regression(default), 2 = Classification
+# learning_rate Double 0.3 the learning rate used
in the model
+
+# RETURN VALUES
+# ----------------------------------------------------------------------------
+# NAME TYPE DEFAULT MEANING
+# ----------------------------------------------------------------------------
+# P Matrix --- The predictions of the samples using the given
xgboost model. (y_prediction)
+# ----------------------------------------------------------------------------
+
+m_xgboostPredict = function(Matrix[Double] X, Matrix[Double] M, Integer
sml_type = 1, Double learning_rate = 0.3
Review comment:
learning rate is needed for prediction:
y_pred = init_predition + learning_rate * OutputTree1 + learning_rate *
OutputTree2 + .... + learning_rate * OutputTreeN
Alternativly we can add the learning rate at the M matrix (eg at init
prediction col), but it does not have a real with the M matrix
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