CrossValidationResult
サマリ
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.
説明
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.
プロパティ
プロパティ | 説明 | データ タイプ |
averageStandard (読み取り専用) |
The average of the prediction standard errors. | Double |
count (読み取り専用) |
The number of input samples. | Long |
inputCount (読み取り専用) |
Returns the number of inputs. | Integer |
maxSeverity (読み取り専用) |
Returns the maximum severity of the message. | Integer |
meanError (読み取り専用) |
The averaged difference between the measured and the predicted values. | Double |
meanStandardized (読み取り専用) |
Mean standardized error. | Double |
messageCount (読み取り専用) |
Returns the number of messages. | Integer |
outputCount (読み取り専用) |
Returns the number of outputs. | Integer |
resultID (読み取り専用) |
Gets the job ID. | String |
rootMeanSquare (読み取り専用) |
The root mean square error. | Double |
rootMeanSquareStandardized (読み取り専用) |
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 (読み取り専用) |
Gets the job status.
| Integer |
メソッドの概要
メソッド | 説明 |
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. |
メソッド
パラメータ | 説明 | データ タイプ |
index |
The index position of the input. | Integer |
データ タイプ | 説明 |
Object |
The input, either as a recordset or string. |
パラメータ | 説明 | データ タイプ |
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 |
データ タイプ | 説明 |
String |
The URL of the map image. |
パラメータ | 説明 | データ タイプ |
index |
The index position of the message. | Integer |
データ タイプ | 説明 |
String |
The geoprocessing message. |
パラメータ | 説明 | データ タイプ |
severity |
The type of messages to be returned: 0=message, 1=warning, 2=error. Not specifying a value returns all message types.
(デフォルト値は 0) | Integer |
データ タイプ | 説明 |
String |
The geoprocessing messages. |
パラメータ | 説明 | データ タイプ |
index |
The index position of the outputs. | Integer |
データ タイプ | 説明 |
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. |
パラメータ | 説明 | データ タイプ |
index |
The message index position. | Integer |
データ タイプ | 説明 |
Integer |
The severity of the specific message.
|
コードのサンプル
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)