6b6b555a1e
## What changes were proposed in this pull request? SparkR ```mllib.R``` is getting bigger as we add more ML wrappers, I'd like to split it into multiple files to make us easy to maintain: * mllib_classification.R * mllib_clustering.R * mllib_recommendation.R * mllib_regression.R * mllib_stat.R * mllib_tree.R * mllib_utils.R Note: Only reorg, no actual code change. ## How was this patch tested? Existing tests. Author: Yanbo Liang <ybliang8@gmail.com> Closes #16312 from yanboliang/spark-18862.
54 lines
2.1 KiB
R
54 lines
2.1 KiB
R
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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library(testthat)
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context("MLlib statistics algorithms")
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# Tests for MLlib statistics algorithms in SparkR
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sparkSession <- sparkR.session(enableHiveSupport = FALSE)
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test_that("spark.kstest", {
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data <- data.frame(test = c(0.1, 0.15, 0.2, 0.3, 0.25, -1, -0.5))
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df <- createDataFrame(data)
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testResult <- spark.kstest(df, "test", "norm")
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stats <- summary(testResult)
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rStats <- ks.test(data$test, "pnorm", alternative = "two.sided")
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expect_equal(stats$p.value, rStats$p.value, tolerance = 1e-4)
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expect_equal(stats$statistic, unname(rStats$statistic), tolerance = 1e-4)
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expect_match(capture.output(stats)[1], "Kolmogorov-Smirnov test summary:")
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testResult <- spark.kstest(df, "test", "norm", -0.5)
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stats <- summary(testResult)
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rStats <- ks.test(data$test, "pnorm", -0.5, 1, alternative = "two.sided")
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expect_equal(stats$p.value, rStats$p.value, tolerance = 1e-4)
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expect_equal(stats$statistic, unname(rStats$statistic), tolerance = 1e-4)
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expect_match(capture.output(stats)[1], "Kolmogorov-Smirnov test summary:")
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# Test print.summary.KSTest
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printStats <- capture.output(print.summary.KSTest(stats))
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expect_match(printStats[1], "Kolmogorov-Smirnov test summary:")
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expect_match(printStats[5],
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"Low presumption against null hypothesis: Sample follows theoretical distribution. ")
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})
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sparkR.session.stop()
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