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CrossValidationResult

サマリー

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.

ディスカッション

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.

プロパティ

名前 説明 データ タイプ

averageCRPS

(読み取り専用)

The average of the Continuous Ranked Probability Scores (CRPS) for all points.

Double

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)

The number of inputs.

Integer

maxSeverity

(読み取り専用)

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

(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)

The number of messages.

Integer

outputCount

(読み取り専用)

The number of outputs.

Integer

percentIn90Interval

(読み取り専用)

The percentage of points that are contained in a 90 percent cross validated confidence interval.

Double

percentIn95Interval

(読み取り専用)

The percentage of points that are contained in a 95 percent cross validated confidence interval.

Double

resultID

(読み取り専用)

The job ID. If the tool is not a geoprocessing service, the value will be "".

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)

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

方法

cancel()

Cancel an associated job.

getInput(index)

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

名前 説明 データ タイプ

index

The index position of the input as an integer, or the parameter name.

Variant

戻り値

データ タイプ 説明

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.

名前 説明 データ タイプ

parameter_list

(オプション)

The parameters on which the map service image will be based.

Integer

height

(オプション)

The height of the image.

Double

width

(オプション)

The width of the image.

Double

resolution

(オプション)

The resolution of the image.

Double

戻り値

データ タイプ 説明

String

The URL of the map image.

getMessage(index)

Returns a specific message by index position.

名前 説明 データ タイプ

index

The index position of the message.

Integer

戻り値

データ タイプ 説明

String

The geoprocessing message.

getMessages({severity})

Returns the geoprocessing tool messages.

名前 説明 データ タイプ

severity

(オプション)

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

戻り値

データ タイプ 説明

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.

名前 説明 データ タイプ

index

The index position of the output as an integer, or the parameter name.

Variant

戻り値

データ タイプ 説明

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.

名前 説明 データ タイプ

index

The message index position.

Integer

戻り値

データ タイプ 説明

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.

コードのサンプル

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))