CrossValidationResult

Resumen

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.

Debate

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.

Percent in 90% Interval, Percent in 95% Interval, and Average CRPS are only available for Empirical Bayesian Kriging and EBK Regression Prediction models.

Propiedades

Nombre	Explicación	Tipo de datos
averageCRPS (Solo lectura)	The average of the Continuous Ranked Probability Scores (CRPS) for all points.	Double
averageStandard (Solo lectura)	The average of the prediction standard errors.	Double
count (Solo lectura)	The number of input samples.	Long
inputCount (Solo lectura)	The number of inputs.	Integer
maxSeverity (Solo lectura)	Specifies the maximum severity of the messages. 0—The tool produced only informative messages. 1—The tool produced a warning message but no error messages. 2—The tool produced an error message.	Integer
meanError (Solo lectura)	The averaged difference between the measured and the predicted values.	Double
meanStandardized (Solo lectura)	Mean standardized error.	Double
messageCount (Solo lectura)	The number of messages.	Integer
outputCount (Solo lectura)	The number of outputs.	Integer
percentIn90Interval (Solo lectura)	The percentage of points that are contained in a 90 percent cross validated confidence interval.	Double
percentIn95Interval (Solo lectura)	The percentage of points that are contained in a 95 percent cross validated confidence interval.	Double
resultID (Solo lectura)	The job ID. If the tool is not a geoprocessing service, the value will be `""`.	String
rootMeanSquare (Solo lectura)	The root mean square error.	Double
rootMeanSquareStandardized (Solo lectura)	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 (Solo lectura)	Specifies the job status. 0—The job status is New. 1—The job status is Submitted. 2—The job status is Waiting. 3—The job status is Executing. 4—The job status is Succeeded. 5—The job status is Failed. 6—The job status is Timed out. 7—The job status is Cancelling. 8—The job status is Cancelled. 9—The job status is Deleting. 10—The job status is Deleted.	Integer

Métodos

`cancel()`

Cancel an associated job.

`getInput(index)`

Returns a given input, either as a string or a RecordSet object.

Nombre	Explicación	Tipo de datos
index	The index position of the input as an integer, or the parameter name.	Variant

Valor de retorno

Tipo de datos	Explicación
Variant	The input, either as a `RecordSet` object or a string.

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

Returns a map service image for a given output, if one exists.

Nombre	Explicación	Tipo de datos
parameter_list (Opcional)	The parameters on which the map service image will be based.	Integer
height (Opcional)	The height of the image.	Double
width (Opcional)	The width of the image.	Double
resolution (Opcional)	The resolution of the image.	Double

Valor de retorno

Tipo de datos	Explicación
String	The URL of the map image.

`getMessage(index)`

Returns a specific message by index position.

Nombre	Explicación	Tipo de datos
index	The index position of the message.	Integer

Valor de retorno

Tipo de datos	Explicación
String	The geoprocessing message.

`getMessages({severity})`

Returns the geoprocessing tool messages.

Nombre	Explicación	Tipo de datos
severity (Opcional)	The type of messages to be returned. 0—Informative, warning, and error messages are returned. 1—Only warning messages are returned. 2—Only error messages are returned. Not specifying a severity level will return all types of messages. The default value is 0.	Integer

Nombre

Explicación

Tipo de datos

severity

(Opcional)

The type of messages to be returned.

0—Informative, warning, and error messages are returned.
1—Only warning messages are returned.
2—Only error messages are returned.

Not specifying a severity level will return all types of messages.

The default value is 0.

Integer

Valor de retorno

Tipo de datos	Explicación
String	The geoprocessing tool messages.

`getOutput(index)`

Returns a given output, either as a RecordSet object or a string.

If the output of the tool, such as Make Feature Layer, is a layer, getOutput will return a Layer object.

Nombre	Explicación	Tipo de datos
index	The index position of the output as an integer, or the parameter name.	Variant

Valor de retorno

Tipo de datos Explicación

Tipo de datos	Explicación
Variant	The output, either as a `RecordSet` or a string. If the output of the tool, such as Make Feature Layer, is a layer, `getOutput` will return a `Layer` object. Result outputs can also be accessed by index by integer or by name. For example, to access the record count from the Get Count tool, `result.getOutput(0)`, `result[0]`, `result.getOutput("row_count")`, and `result["row_count"]` are equivalent.

Variant

The output, either as a RecordSet or a string.

If the output of the tool, such as Make Feature Layer, is a layer, getOutput will return a Layer object.

Result outputs can also be accessed by index by integer or by name. For example, to access the record count from the Get Count tool, result.getOutput(0), result[0], result.getOutput("row_count"), and result["row_count"] are equivalent.

`getSeverity(index)`

Specifies the severity of a specific message.

Nombre	Explicación	Tipo de datos
index	The message index position.	Integer

Valor de retorno

Tipo de datos	Explicación
Integer	The severity of the specific message. 0—Informative, warning, and error messages are returned. 1—Only warning messages are returned. 2—Only error messages are returned.

Tipo de datos

Explicación

Integer

The severity of the specific message.

0—Informative, warning, and error messages are returned.
1—Only warning messages are returned.
2—Only error messages are returned.

Muestra de código

CrossValidation (Python window)

Perform cross-validation on an input geostatistical layer.

import arcpy
arcpy.env.workspace = "C:/gapyexamples/data"
cvResult = arcpy.ga.CrossValidation("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"

# Run CrossValidation
cvResult = arcpy.ga.CrossValidation(inLayer)
print("Root Mean Square error = " + str(cvResult.rootMeanSquare))