SQL Server 2005中数据挖掘算法扩展方法

复制  GetSupportsDMDimensions  retrun false;    GetSupportsDrillThrough  return false;  指定这个算法是数据算法否支持钻透功能。   GetDrillThroughMustIncludeChildren  return false;    GetCaseIdModeled  return false;    GetMarginalRequirements  return MarginalRequirements.AllStats    GetParametersCollection  return null;  算法参数，挖掘因为本文中的扩展例子没有参数，所以这里返回空。数据算法   GetSupInputContentTypes  MiningColumnContent[] arInputContentTypes = new MiningColumnContent[]

{

MiningColumnContent.Discrete,挖掘

MiningColumnContent.Continuous,

MiningColumnContent.Discretized,

MiningColumnContent.NestedTable,

MiningColumnContent.Key

};

return arInputContentTypes;  指定算法所支持的输入属性的服务器托管数据类型，如连续型、扩展离散型等。数据算法   GetSupPredictContentTypes  MiningColumnContent[] arPredictContentTypes = new MiningColumnContent[]

{

MiningColumnContent.Discrete,挖掘

MiningColumnContent.Continuous,

MiningColumnContent.Discretized,

MiningColumnContent.NestedTable,

MiningColumnContent.Key

};

return arPredictContentTypes;  与上一个方法类似，这里是扩展指定预测属性所支持的数据类型。源码下载   GetSupportedStandardFunctions  SupportedFunction[] arFuncs

= new SupportedFunction[] {

    SupportedFunction.PredictSupport,数据算法

    SupportedFunction.PredictHistogram,

SupportedFunction.PredictProbability,

SupportedFunction.PredictAdjustedProbability,

SupportedFunction.PredictAssociation,

SupportedFunction.PredictStdDev,

SupportedFunction.PredictVariance,

SupportedFunction.RangeMax,

SupportedFunction.RangeMid,

SupportedFunction.RangeMin,

SupportedFunction.DAdjustedProbability,

SupportedFunction.DProbability,

SupportedFunction.DStdDev,

SupportedFunction.DSupport,

SupportedFunction.DVariance,

// content-related functions

SupportedFunction.IsDescendent,

SupportedFunction.PredictNodeId,

SupportedFunction.IsInNode,

SupportedFunction.DNodeId,

};

return arFuncs;  指定DMX所支持的函数。   CreateAlgorithm  return new Algorithm()；  返回算法实例，挖掘Algorithm是扩展接下来要创建的类。  

数据算法1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.40.41.42.43.44.45.46.47.48.49.50.51.52.53.54.55.56.57.58.59.60.61.62.63.64.65.66.67.68.69.70.71.72.73.74.75.76.77.78.79.80.81.82.83.84.85.86.87.88.89.90.91.92.93.94.95.96.97.98.99.100.101.102.103.104.105.106.107.108.109.110.111.112.113.114.115.116.117.118.119.120.121.122.123.124.125.126.127.128.129.130.131.132.133.134.135.136.137.138.139.140.141.142.143.144.145.146.147.148.149.150.151.152.153.154.155.156.157.158.159.160.161.162.163.164.165.166.167.168.169.170.171.172.173.174.175.176.177.178.179.180.181.182.183.184.185.186.187.188.189.190.191.192.193.194.195.196.197.198.199.200.201.202.203.204.205.206.207.208.209.210.211.212.213.214.215.216.217.218.219.220.221.222.223.224.225.226.227.228.229.230.231.232.233.234.235.236.237.238.239.240.241.242.

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