Tue 27 Aug 00:14:56 CEST 2024

test/test-ml-pca1.js

@@ -0,0 +1,18 @@
+var data = load('test-data-iris.json');
+
+
+var dataX=ml.preprocess(data,'m',
+ {features:
+   ['length','width','petal_length','petal_width']
+}).data;
+
+// TODO; update ML from workbook ML-X
+
+var eigenX=ml.pca.getEigenVectors(dataX);
+
+var dataZ=ml.pca.computeAdjustedData(dataX,eigenX[0])
+
+var dataXR=ML.pca.computeOriginalData(
+  dataZ.formattedAdjustedData,
+  dataZ.selectedVectors,
+  dataZ.avgData).formattedOriginalData;