コード例 #1
0
ファイル: chimerge_test.go プロジェクト: CTLife/golearn
func TestChiMergeDiscretization(t *testing.T) {
	Convey("Chi-Merge Discretization", t, func() {
		chimDatasetPath := "../examples/datasets/chim.csv"

		Convey(fmt.Sprintf("With the '%s' dataset", chimDatasetPath), func() {
			instances, err := base.ParseCSVToInstances(chimDatasetPath, true)
			So(err, ShouldBeNil)

			_, rows := instances.Size()

			frequencies := chiMerge(instances, instances.AllAttributes()[0], 0.9, 0, rows)
			values := []float64{}
			for _, entry := range frequencies {
				values = append(values, entry.Value)
			}

			Convey("Computes frequencies correctly", func() {
				So(values, ShouldResemble, []float64{1.3, 56.2, 87.1})
			})
		})

		irisHeadersDatasetpath := "../examples/datasets/iris_headers.csv"

		Convey(fmt.Sprintf("With the '%s' dataset", irisHeadersDatasetpath), func() {
			instances, err := base.ParseCSVToInstances(irisHeadersDatasetpath, true)
			So(err, ShouldBeNil)

			Convey("Sorting the instances first", func() {
				allAttributes := instances.AllAttributes()
				sortedAttributesSpecs := base.ResolveAttributes(instances, allAttributes)[0:1]
				sortedInstances, err := base.Sort(instances, base.Ascending, sortedAttributesSpecs)
				So(err, ShouldBeNil)

				_, rows := sortedInstances.Size()

				frequencies := chiMerge(sortedInstances, sortedInstances.AllAttributes()[0], 0.9, 0, rows)
				values := []float64{}
				for _, entry := range frequencies {
					values = append(values, entry.Value)
				}

				Convey("Computes frequencies correctly", func() {
					So(values, ShouldResemble, []float64{4.3, 5.5, 5.8, 6.3, 7.1})
				})
			})
		})
	})
}
コード例 #2
0
ファイル: chimerge_test.go プロジェクト: Gudym/golearn
func TestChiMerge2(testEnv *testing.T) {
	//
	// See http://sci2s.ugr.es/keel/pdf/algorithm/congreso/1992-Kerber-ChimErge-AAAI92.pdf
	//   Randy Kerber, ChiMerge: Discretisation of Numeric Attributes, 1992
	inst, err := base.ParseCSVToInstances("../examples/datasets/iris_headers.csv", true)
	if err != nil {
		panic(err)
	}

	// Sort the instances
	allAttrs := inst.AllAttributes()
	sortAttrSpecs := base.ResolveAttributes(inst, allAttrs)[0:1]
	instSorted, err := base.Sort(inst, base.Ascending, sortAttrSpecs)
	if err != nil {
		panic(err)
	}

	// Perform Chi-Merge
	_, rows := inst.Size()
	freq := chiMerge(instSorted, allAttrs[0], 0.90, 0, rows)
	if len(freq) != 5 {
		testEnv.Errorf("Wrong length (%d)", len(freq))
		testEnv.Error(freq)
	}
	if freq[0].Value != 4.3 {
		testEnv.Error(freq[0])
	}
	if freq[1].Value != 5.5 {
		testEnv.Error(freq[1])
	}
	if freq[2].Value != 5.8 {
		testEnv.Error(freq[2])
	}
	if freq[3].Value != 6.3 {
		testEnv.Error(freq[3])
	}
	if freq[4].Value != 7.1 {
		testEnv.Error(freq[4])
	}
}