CrossValidationResult (arcpy)
Zusammenfassung
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.
Diskussion
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.
Eigenschaften
Eigenschaft | Erläuterung | Datentyp |
averageStandard (Schreibgeschützt) |
The average of the prediction standard errors. | Double |
count (Schreibgeschützt) |
The number of input samples. | Long |
inputCount (Schreibgeschützt) |
Returns the number of inputs. | Integer |
maxSeverity (Schreibgeschützt) |
Returns the maximum severity of the messages.
| Integer |
meanError (Schreibgeschützt) |
The averaged difference between the measured and the predicted values. | Double |
meanStandardized (Schreibgeschützt) |
Mean standardized error. | Double |
messageCount (Schreibgeschützt) |
Returns the number of messages. | Integer |
outputCount (Schreibgeschützt) |
Returns the number of outputs. | Integer |
resultID (Schreibgeschützt) |
Gets the job ID. If the tool is not a geoprocessing service, the resultID will be "". | String |
rootMeanSquare (Schreibgeschützt) |
The root mean square error. | Double |
rootMeanSquareStandardized (Schreibgeschützt) |
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 (Schreibgeschützt) |
Gets the job status.
| Integer |
Methodenübersicht
Methode | Erläuterung |
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. |
Methoden
Parameter | Erläuterung | Datentyp |
index |
The index position of the input. | Integer |
Datentyp | Erläuterung |
Object |
The input, either as a recordset or string. |
Parameter | Erläuterung | Datentyp |
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 |
Datentyp | Erläuterung |
String |
The URL of the map image. |
Parameter | Erläuterung | Datentyp |
index |
The index position of the message. | Integer |
Datentyp | Erläuterung |
String |
The geoprocessing message. |
Parameter | Erläuterung | Datentyp |
severity |
The type of messages to be returned: 0=message, 1=warning, 2=error. Not specifying a value returns all message types.
(Der Standardwert ist 0) | Integer |
Datentyp | Erläuterung |
String |
The geoprocessing messages. |
Parameter | Erläuterung | Datentyp |
index |
The index position of the outputs. | Integer |
Datentyp | Erläuterung |
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. |
Parameter | Erläuterung | Datentyp |
index |
The message index position. | Integer |
Datentyp | Erläuterung |
Integer |
The severity of the specific message.
|
Codebeispiel
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)