CrossValidationResult

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.

Auswertung

The CrossValidationResult class is similar to the Result class except for the additional read-only properties that it contains. For detailed help, see the Cross Validation tool.

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	Erklärung	Datentyp
averageStandard (Nur lesen)	The average of the prediction standard errors.	Double
count (Nur lesen)	The number of input samples.	Long
inputCount (Nur lesen)	Returns the number of inputs.	Integer
maxSeverity (Nur lesen)	Returns the maximum severity of the messages. 0 —If the tool produced only informative messages. 1 — If the tool produced a warning message, but no error messages. 2 — If the tool produced an error message.	Integer
meanError (Nur lesen)	The averaged difference between the measured and the predicted values.	Double
meanStandardized (Nur lesen)	Mean standardized error.	Double
messageCount (Nur lesen)	Returns the number of messages.	Integer
outputCount (Nur lesen)	Returns the number of outputs.	Integer
resultID (Nur lesen)	Gets the job ID. If the tool is not a geoprocessing service, the resultID will be "".	String
rootMeanSquare (Nur lesen)	The root mean square error.	Double
rootMeanSquareStandardized (Nur lesen)	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 (Nur lesen)	Gets the job status. 0 —New 1 —Submitted 2 —Waiting 3 —Executing 4 —Succeeded 5 —Failed 6 —Timed out 7 —Cancelling 8 —Cancelled 9 —Deleting 10 —Deleted	Integer

Methodenübersicht

Methode	Erklärung
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 a 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

cancel ()

getInput (index)

Parameter	Erklärung	Datentyp
index	The index position of the input.	Integer

Rückgabewert

Datentyp	Erklärung
Object	The input, either as a recordset or string.

getMapImageURL ({parameter_list}, {height}, {width}, {resolution})

Parameter	Erklärung	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

Rückgabewert

Datentyp	Erklärung
String	The URL of the map image.

getMessage (index)

Parameter	Erklärung	Datentyp
index	The index position of the message.	Integer

Rückgabewert

Datentyp	Erklärung
String	The geoprocessing message.

getMessages ({severity})

Parameter	Erklärung	Datentyp
severity	The type of messages to be returned: 0=message, 1=warning, 2=error. Not specifying a value returns all message types. 0 —informational message 1 —warning message 2 —error message (Der Standardwert ist 0)	Integer

Rückgabewert

Datentyp	Erklärung
String	The geoprocessing messages.

getOutput (index)

Parameter	Erklärung	Datentyp
index	The index position of the outputs.	Integer

Rückgabewert

Datentyp	Erklärung
Object	The output, either as a recordset or a string. If the output of the tool, such as MakeFeatureLayer is a layer, getOutput will return a Layer object. Result outputs can also be accessed by index, so result.getOutput(0) and result[0] are equivalent.

getSeverity (index)

Parameter	Erklärung	Datentyp
index	The message index position.	Integer

Rückgabewert

Datentyp	Erklärung
Integer	The severity of the specific message. 0 —informational message 1 —warning message 2 —error message

Codebeispiel

CrossValidation (Python window)

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)

CrossValidation (stand-alone script)

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)