CrossValidationResult
摘要
The CrossValidationResult class is returned by the Cross Validation tool and contains access to the cross-validation results that can be generated for any geostatistical layer.
讨论
The CrossValidationResult class is similar to Result class except for the additional read-only properties that it contains. For detailed help, see the Cross Validation tool help.
Only the mean and root mean square error results are available for IDW, global polynomial interpolation, radial basis functions, diffusion interpolation with barriers, and kernel interpolation with barriers.
属性
属性 | 说明 | 数据类型 |
averageStandard (只读) |
The average of the prediction standard errors. | Double |
count (只读) |
The number of input samples. | Long |
inputCount (只读) |
Returns the number of inputs. | Integer |
maxSeverity (只读) |
Returns the maximum severity of the message. | Integer |
meanError (只读) |
The averaged difference between the measured and the predicted values. | Double |
meanStandardized (只读) |
Mean standardized error. | Double |
messageCount (只读) |
Returns the number of messages. | Integer |
outputCount (只读) |
Returns the number of outputs. | Integer |
resultID (只读) |
Gets the job ID. | String |
rootMeanSquare (只读) |
The root mean square error. | Double |
rootMeanSquareStandardized (只读) |
The root mean square standardized error should be close to 1 if the prediction standard errors are valid. If the root mean square standardized error is greater than 1, you are underestimating the variability in your predictions. If the root mean square standardized error is less than 1, you are overestimating the variability in your predictions. | Double |
status (只读) |
Gets the job status.
| Integer |
方法概述
方法 | 说明 |
cancel () |
Cancels an associated job |
getInput (index) |
Returns a given input, either as a recordset or string. |
getMapImageURL ({parameter_list}, {height}, {width}, {resolution}) |
Gets a map service image for a given output, if one exists. |
getMessage (index) |
Returns a specific message. |
getMessages ({severity}) |
Returns messages. |
getOutput (index) |
Returns a given output, either as a recordset or string. If the output of the tool, such as MakeFeatureLayer is a layer, getOutput will return a Layer object. |
getSeverity (index) |
Returns the severity of a specific message. |
方法
参数 | 说明 | 数据类型 |
index |
The index position of the input. | Integer |
数据类型 | 说明 |
Object |
The input, either as a recordset or string. |
参数 | 说明 | 数据类型 |
parameter_list |
Parameter(s) on which the map service image will be based. | Integer |
height |
The height of the image. | Double |
width |
The width of the image. | Double |
resolution |
The resolution of the image. | Double |
数据类型 | 说明 |
String |
The URL of the map image. |
参数 | 说明 | 数据类型 |
index |
The index position of the message. | Integer |
数据类型 | 说明 |
String |
The geoprocessing message. |
参数 | 说明 | 数据类型 |
severity |
The type of messages to be returned: 0=message, 1=warning, 2=error. Not specifying a value returns all message types.
(默认值为 0) | Integer |
数据类型 | 说明 |
String |
The geoprocessing messages. |
参数 | 说明 | 数据类型 |
index |
The index position of the outputs. | Integer |
数据类型 | 说明 |
Object |
The output, either as a recordset or string. If the output of the tool, such as MakeFeatureLayer is a layer, getOutput will return a Layer object. |
参数 | 说明 | 数据类型 |
index |
The message index position. | Integer |
数据类型 | 说明 |
Integer |
The severity of the specific message.
|
代码示例
Perform cross-validation on an input geostatistical layer.
import arcpy arcpy.env.workspace = "C:/gapyexamples/data" cvResult = arcpy.CrossValidation_ga("C:/gapyexamples/data/kriging.lyr") print "Root Mean Square error = " + str(cvResult.rootMeanSquare)
Perform cross-validation on an input geostatistical layer.
# Name: CrossValidation_Example_02.py # Description: Perform cross validation on an input geostatistical layer. # Requirements: Geostatistical Analyst Extension # Import system modules import arcpy # Set environment settings arcpy.env.workspace = "C:/gapyexamples/data" # Set local variables inLayer = "C:/gapyexamples/data/kriging.lyr" # Check out the ArcGIS Geostatistical Analyst extension license arcpy.CheckOutExtension("GeoStats") # Execute CrossValidation cvResult = arcpy.CrossValidation_ga(inLayer) print "Root Mean Square error = " + str(cvResult.rootMeanSquare)