Github user yanboliang commented on a diff in the pull request: https://github.com/apache/spark/pull/15212#discussion_r93726320 --- Diff: mllib/src/test/scala/org/apache/spark/mllib/feature/ChiSqSelectorSuite.scala --- @@ -27,61 +27,240 @@ class ChiSqSelectorSuite extends SparkFunSuite with MLlibTestSparkContext { /* * Contingency tables - * feature0 = {8.0, 0.0} + * feature0 = {6.0, 0.0, 8.0} * class 0 1 2 - * 8.0||1|0|1| - * 0.0||0|2|0| + * 6.0||1|0|0| + * 0.0||0|3|0| + * 8.0||0|0|2| + * degree of freedom = 4, statistic = 12, pValue = 0.017 * * feature1 = {7.0, 9.0} * class 0 1 2 * 7.0||1|0|0| - * 9.0||0|2|1| + * 9.0||0|3|2| + * degree of freedom = 2, statistic = 6, pValue = 0.049 * - * feature2 = {0.0, 6.0, 8.0, 5.0} + * feature2 = {0.0, 6.0, 3.0, 8.0} * class 0 1 2 * 0.0||1|0|0| - * 6.0||0|1|0| + * 6.0||0|1|2| + * 3.0||0|1|0| * 8.0||0|1|0| - * 5.0||0|0|1| + * degree of freedom = 6, statistic = 8.66, pValue = 0.193 + * + * feature3 = {7.0, 0.0, 5.0, 4.0} + * class 0 1 2 + * 7.0||1|0|0| + * 0.0||0|2|0| + * 5.0||0|1|1| + * 4.0||0|0|1| + * degree of freedom = 6, statistic = 9.5, pValue = 0.147 + * + * feature4 = {6.0, 5.0, 4.0, 0.0} + * class 0 1 2 + * 6.0||1|1|0| + * 5.0||0|2|0| + * 4.0||0|0|1| + * 0.0||0|0|1| + * degree of freedom = 6, statistic = 8.0, pValue = 0.238 + * + * feature5 = {0.0, 9.0, 5.0, 4.0} + * class 0 1 2 + * 0.0||1|0|1| + * 9.0||0|1|0| + * 5.0||0|1|0| + * 4.0||0|1|1| + * degree of freedom = 6, statistic = 5, pValue = 0.54 * * Use chi-squared calculator from Internet */ - test("ChiSqSelector transform test (sparse & dense vector)") { + test("ChiSqSelector transform by KBest test (sparse & dense vector)") { val labeledDiscreteData = sc.parallelize( --- End diff -- Many test functions need ```labeledDiscreteData```, we can refactor it out of the function and make other functions shared the same dataset instance.
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