Пример #1
0
def testRootMeanSquareError():
    myFunc = atsFunc()
    valList1 = []
    valList2 = []
    valList3 = []
    for val in range(0, 10):
        valList1.append(val)
        valList2.append(val + 1)
        valList3.append(val + 2)
    print valList1
    print myFunc.rootMeanSquareError(valList2, valList1, [1, 1, 0])
    print valList2
    print myFunc.rootMeanSquareError(valList2, valList2, [1, 1, 0])
    print valList3
    print myFunc.rootMeanSquareError(valList2, valList3, [1, 1, 0])
Пример #2
0
def testCorrcoef():
    myFunc = atsFunc()
    for testCount in range(0, 10):
        valList1 = []
        valList2 = []
        random.seed(testCount)
        for idx in range(0, 10):
            valList1.append(random.random())
            valList2.append(random.random())
        print valList1
        print valList2
        corrcoefVal = myFunc.corrcoef(valList1, valList2)
        print u"相関係数の値(numpy)  \t: ", numpy.corrcoef(valList1, valList2)[0][1]
        print u"相関係数の値(atsFunc)\t: ", corrcoefVal
    valList1 = [10, 11, 12, 13, 14, 15, 14, 13, 12, 11, 10, 11]
    valList2 = [10, 11, 12, 13, 14, 15, 14, 13, 12, 11, 10, 11]
    corrcoefVal = myFunc.corrcoef(valList1, valList2)
    print numpy.corrcoef(valList1, valList2)
    print u"相関係数の値\t: ", corrcoefVal
Пример #3
0
def testGesdOutlierTest():
    valueList = [
        -0.25,
        0.68,
        0.94,
        1.15,
        1.20,
        1.26,
        1.26,
        1.34,
        1.38,
        1.43,
        1.49,
        1.49,
        1.55,
        1.56,
        1.58,
        1.65,
        1.69,
        1.70,
        1.76,
        1.77,
        1.81,
        1.91,
        1.94,
        1.96,
        1.99,
        2.06,
        2.09,
        2.10,
        2.14,
        2.15,
        2.23,
        2.24,
        2.26,
        2.35,
        2.37,
        2.40,
        2.47,
        2.54,
        2.62,
        2.64,
        2.90,
        2.92,
        2.92,
        2.93,
        3.21,
        3.26,
        3.30,
        3.59,
        3.68,
        4.30,
        4.64,
        5.34,
        5.42,
        6.01,
    ]
    correctRList = [0, 3.118, 2.942, 3.179, 2.810, 2.815, 2.848, 2.279, 2.310, 2.101, 2.067]
    correctThresholdList = [0, 3.158, 3.151, 3.143, 3.136, 3.128, 3.120, 3.111, 3.103, 3.094, 3.085]
    print "valueList ", valueList
    print "len(valueList) ", len(valueList)
    print "R should have these values               : ", correctRList[1:]
    print "critical values should have these values : ", correctThresholdList[1:]
    testValueList = copy.deepcopy(valueList)
    maxOutlierCount = 10
    print u"-----^"
    myFunc = atsFunc()
    gesdResultList = myFunc.gesdOutlierTest(valueList, maxOutlierCount=maxOutlierCount, debugFlag=True)
    print u"外れ値とする値の個数の最大     :\t", maxOutlierCount
    print u"外れ値ではないと判断された値のリスト:\t", gesdResultList[0]
    print u"外れ値ではないと判断された値の個数 :\t", len(gesdResultList[0])
    print u"外れ値となった値のリスト      :\t", gesdResultList[1]
    print u"外れ値となった値の個数       :\t", len(gesdResultList[1])