weibozhao commented on a change in pull request #24:
URL: https://github.com/apache/flink-ml/pull/24#discussion_r762976263
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File path:
flink-ml-lib/src/main/java/org/apache/flink/ml/classification/knn/FastDistanceMatrixData.java
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@@ -0,0 +1,122 @@
+package org.apache.flink.ml.classification.knn;
+
+import org.apache.flink.ml.linalg.DenseMatrix;
+import org.apache.flink.ml.util.ReadWriteUtils;
+import org.apache.flink.util.Preconditions;
+
+import
org.apache.flink.shaded.jackson2.com.fasterxml.jackson.core.JsonProcessingException;
+
+import java.io.Serializable;
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * Save the data for calculating distance fast. The FastDistanceMatrixData
saves several dense
+ * vectors in a single matrix. The vectors are organized in columns, which
means each column is a
+ * single vector. For example, vec1: 0,1,2, vec2: 3,4,5, vec3: 6,7,8, then the
data in matrix is
+ * organized as: vec1,vec2,vec3. And the data array in <code>vectors</code> is
{0,1,2,3,4,5,6,7,8}.
+ */
+public class FastDistanceMatrixData implements Serializable {
+
+ /**
+ * Stores several dense vectors in columns. For example, if the vectorSize
is n, and matrix
+ * saves m vectors, then the number of rows of <code>vectors</code> is n
and the number of cols
+ * of <code>vectors</code> is m.
+ */
+ public final DenseMatrix vectors;
+ /**
+ * Save the extra info besides the vector. Each vector is related to one
row. Thus, for
+ * FastDistanceVectorData, the length of <code>rows</code> is one. And for
+ * FastDistanceMatrixData, the length of <code>rows</code> is equal to the
number of cols of
+ * <code>matrix</code>. Besides, the order of the rows are the same with
the vectors.
+ */
+ public final String[] ids;
Review comment:
This class has been deleted.
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