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Posted to dev@systemds.apache.org by GitBox <gi...@apache.org> on 2021/07/16 10:00:35 UTC
[GitHub] [systemds] dkerschbaumer commented on a change in pull request #1334: [WIP] [AMLS] XGBoost
dkerschbaumer commented on a change in pull request #1334:
URL: https://github.com/apache/systemds/pull/1334#discussion_r671123785
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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
+) return (Matrix[Double] P) {
+
+ nr_trees = max(M[2,])
+ P = matrix(0, rows=nrow(X), cols=1)
+ initial_prediction = M[6,1]
+ trees_M_offset = calculateTreesOffset(M)
+ if(sml_type == 1) # Regression
Review comment:
Done in https://github.com/apache/systemds/pull/1334/commits/c750df72571574b0c59d2cec7a732d5d6a558ef2
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