Custom_Vision_Training_3.2
GetIterations
Get iterations for the project.
Select the testing console in the region where you created your resource:
West US 2 East US East US 2 South Central US West Europe North Europe Southeast Asia Australia East Central India UK South Japan East North Central US Central US EUAPRequest URL
Request parameters
string
Format - uuid. The project id.
Request headers
Request body
Response 200
OK
[
{
"id": "string",
"name": "string",
"status": "string",
"created": "string",
"lastModified": "string",
"trainedAt": "string",
"projectId": "string",
"exportable": true,
"exportableTo": [
"CoreML"
],
"domainId": "string",
"classificationType": "Multiclass",
"trainingType": "Regular",
"reservedBudgetInHours": 0,
"trainingTimeInMinutes": 0,
"publishName": "string",
"originalPublishResourceId": "string"
}
]{
"type": "array",
"items": {
"description": "Iteration model to be sent over JSON.",
"required": [
"name"
],
"type": "object",
"properties": {
"id": {
"format": "uuid",
"description": "Gets the id of the iteration.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"name": {
"description": "Gets or sets the name of the iteration.",
"type": "string",
"readOnly": false,
"x-nullable": false
},
"status": {
"description": "Gets the current iteration status.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"created": {
"format": "date-time",
"description": "Gets the time this iteration was completed.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"lastModified": {
"format": "date-time",
"description": "Gets the time this iteration was last modified.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"trainedAt": {
"format": "date-time",
"description": "Gets the time this iteration was last modified.",
"type": "string",
"readOnly": true,
"x-nullable": true
},
"projectId": {
"format": "uuid",
"description": "Gets the project id of the iteration.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"exportable": {
"description": "Whether the iteration can be exported to another format for download.",
"type": "boolean",
"readOnly": true,
"x-nullable": false
},
"exportableTo": {
"description": "A set of platforms this iteration can export to.",
"type": "array",
"items": {
"enum": [
"CoreML",
"TensorFlow",
"DockerFile",
"ONNX",
"VAIDK"
],
"type": "string",
"x-nullable": false
},
"readOnly": true
},
"domainId": {
"format": "uuid",
"description": "Get or sets a guid of the domain the iteration has been trained on.",
"type": "string",
"readOnly": true,
"x-nullable": true
},
"classificationType": {
"description": "Gets the classification type of the project.",
"enum": [
"Multiclass",
"Multilabel"
],
"type": "string",
"readOnly": true,
"x-nullable": true,
"x-ms-enum": {
"name": "Classifier",
"modelAsString": true
}
},
"trainingType": {
"description": "Gets the training type of the iteration.",
"enum": [
"Regular",
"Advanced"
],
"type": "string",
"readOnly": true,
"x-nullable": false,
"x-ms-enum": {
"name": "TrainingType",
"modelAsString": true
}
},
"reservedBudgetInHours": {
"format": "int32",
"description": "Gets the reserved advanced training budget for the iteration.",
"type": "integer",
"readOnly": true,
"x-nullable": false
},
"trainingTimeInMinutes": {
"format": "int32",
"description": "Gets the training time for the iteration.",
"type": "integer",
"readOnly": true,
"x-nullable": false
},
"publishName": {
"description": "Name of the published model.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"originalPublishResourceId": {
"description": "Resource Provider Id this iteration was originally published to.",
"type": "string",
"readOnly": true,
"x-nullable": false
}
}
}
}<IterationArray>
<id>string</id>
<name>string</name>
<status>string</status>
<created>string</created>
<lastModified>string</lastModified>
<trainedAt>string</trainedAt>
<projectId>string</projectId>
<exportable>true</exportable>
<exportableTo>CoreML</exportableTo>
<domainId>string</domainId>
<classificationType>Multiclass</classificationType>
<trainingType>Regular</trainingType>
<reservedBudgetInHours>0</reservedBudgetInHours>
<trainingTimeInMinutes>0</trainingTimeInMinutes>
<publishName>string</publishName>
<originalPublishResourceId>string</originalPublishResourceId>
</IterationArray>{
"type": "array",
"items": {
"description": "Iteration model to be sent over JSON.",
"required": [
"name"
],
"type": "object",
"properties": {
"id": {
"format": "uuid",
"description": "Gets the id of the iteration.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"name": {
"description": "Gets or sets the name of the iteration.",
"type": "string",
"readOnly": false,
"x-nullable": false
},
"status": {
"description": "Gets the current iteration status.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"created": {
"format": "date-time",
"description": "Gets the time this iteration was completed.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"lastModified": {
"format": "date-time",
"description": "Gets the time this iteration was last modified.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"trainedAt": {
"format": "date-time",
"description": "Gets the time this iteration was last modified.",
"type": "string",
"readOnly": true,
"x-nullable": true
},
"projectId": {
"format": "uuid",
"description": "Gets the project id of the iteration.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"exportable": {
"description": "Whether the iteration can be exported to another format for download.",
"type": "boolean",
"readOnly": true,
"x-nullable": false
},
"exportableTo": {
"description": "A set of platforms this iteration can export to.",
"type": "array",
"items": {
"enum": [
"CoreML",
"TensorFlow",
"DockerFile",
"ONNX",
"VAIDK"
],
"type": "string",
"x-nullable": false
},
"readOnly": true
},
"domainId": {
"format": "uuid",
"description": "Get or sets a guid of the domain the iteration has been trained on.",
"type": "string",
"readOnly": true,
"x-nullable": true
},
"classificationType": {
"description": "Gets the classification type of the project.",
"enum": [
"Multiclass",
"Multilabel"
],
"type": "string",
"readOnly": true,
"x-nullable": true,
"x-ms-enum": {
"name": "Classifier",
"modelAsString": true
}
},
"trainingType": {
"description": "Gets the training type of the iteration.",
"enum": [
"Regular",
"Advanced"
],
"type": "string",
"readOnly": true,
"x-nullable": false,
"x-ms-enum": {
"name": "TrainingType",
"modelAsString": true
}
},
"reservedBudgetInHours": {
"format": "int32",
"description": "Gets the reserved advanced training budget for the iteration.",
"type": "integer",
"readOnly": true,
"x-nullable": false
},
"trainingTimeInMinutes": {
"format": "int32",
"description": "Gets the training time for the iteration.",
"type": "integer",
"readOnly": true,
"x-nullable": false
},
"publishName": {
"description": "Name of the published model.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"originalPublishResourceId": {
"description": "Resource Provider Id this iteration was originally published to.",
"type": "string",
"readOnly": true,
"x-nullable": false
}
}
}
}<IterationArray>
<id>string</id>
<name>string</name>
<status>string</status>
<created>string</created>
<lastModified>string</lastModified>
<trainedAt>string</trainedAt>
<projectId>string</projectId>
<exportable>true</exportable>
<exportableTo>CoreML</exportableTo>
<domainId>string</domainId>
<classificationType>Multiclass</classificationType>
<trainingType>Regular</trainingType>
<reservedBudgetInHours>0</reservedBudgetInHours>
<trainingTimeInMinutes>0</trainingTimeInMinutes>
<publishName>string</publishName>
<originalPublishResourceId>string</originalPublishResourceId>
</IterationArray>{
"type": "array",
"items": {
"description": "Iteration model to be sent over JSON.",
"required": [
"name"
],
"type": "object",
"properties": {
"id": {
"format": "uuid",
"description": "Gets the id of the iteration.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"name": {
"description": "Gets or sets the name of the iteration.",
"type": "string",
"readOnly": false,
"x-nullable": false
},
"status": {
"description": "Gets the current iteration status.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"created": {
"format": "date-time",
"description": "Gets the time this iteration was completed.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"lastModified": {
"format": "date-time",
"description": "Gets the time this iteration was last modified.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"trainedAt": {
"format": "date-time",
"description": "Gets the time this iteration was last modified.",
"type": "string",
"readOnly": true,
"x-nullable": true
},
"projectId": {
"format": "uuid",
"description": "Gets the project id of the iteration.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"exportable": {
"description": "Whether the iteration can be exported to another format for download.",
"type": "boolean",
"readOnly": true,
"x-nullable": false
},
"exportableTo": {
"description": "A set of platforms this iteration can export to.",
"type": "array",
"items": {
"enum": [
"CoreML",
"TensorFlow",
"DockerFile",
"ONNX",
"VAIDK"
],
"type": "string",
"x-nullable": false
},
"readOnly": true
},
"domainId": {
"format": "uuid",
"description": "Get or sets a guid of the domain the iteration has been trained on.",
"type": "string",
"readOnly": true,
"x-nullable": true
},
"classificationType": {
"description": "Gets the classification type of the project.",
"enum": [
"Multiclass",
"Multilabel"
],
"type": "string",
"readOnly": true,
"x-nullable": true,
"x-ms-enum": {
"name": "Classifier",
"modelAsString": true
}
},
"trainingType": {
"description": "Gets the training type of the iteration.",
"enum": [
"Regular",
"Advanced"
],
"type": "string",
"readOnly": true,
"x-nullable": false,
"x-ms-enum": {
"name": "TrainingType",
"modelAsString": true
}
},
"reservedBudgetInHours": {
"format": "int32",
"description": "Gets the reserved advanced training budget for the iteration.",
"type": "integer",
"readOnly": true,
"x-nullable": false
},
"trainingTimeInMinutes": {
"format": "int32",
"description": "Gets the training time for the iteration.",
"type": "integer",
"readOnly": true,
"x-nullable": false
},
"publishName": {
"description": "Name of the published model.",
"type": "string",
"readOnly": true,
"x-nullable": false
},
"originalPublishResourceId": {
"description": "Resource Provider Id this iteration was originally published to.",
"type": "string",
"readOnly": true,
"x-nullable": false
}
}
}
}Response 500
Error response
{
"code": "NoError",
"message": "string"
}{
"required": [
"code",
"message"
],
"type": "object",
"properties": {
"code": {
"description": "The error code.",
"enum": [
"NoError",
"BadRequest",
"BadRequestExceededBatchSize",
"BadRequestNotSupported",
"BadRequestInvalidIds",
"BadRequestProjectName",
"BadRequestProjectNameNotUnique",
"BadRequestProjectDescription",
"BadRequestProjectUnknownDomain",
"BadRequestProjectUnknownClassification",
"BadRequestProjectUnsupportedDomainTypeChange",
"BadRequestProjectUnsupportedExportPlatform",
"BadRequestProjectImagePreprocessingSettings",
"BadRequestProjectDuplicated",
"BadRequestIterationName",
"BadRequestIterationNameNotUnique",
"BadRequestIterationDescription",
"BadRequestIterationIsNotTrained",
"BadRequestIterationValidationFailed",
"BadRequestWorkspaceCannotBeModified",
"BadRequestWorkspaceNotDeletable",
"BadRequestTagName",
"BadRequestTagNameNotUnique",
"BadRequestTagDescription",
"BadRequestTagType",
"BadRequestMultipleNegativeTag",
"BadRequestImageTags",
"BadRequestImageRegions",
"BadRequestNegativeAndRegularTagOnSameImage",
"BadRequestRequiredParamIsNull",
"BadRequestIterationIsPublished",
"BadRequestInvalidPublishName",
"BadRequestInvalidPublishTarget",
"BadRequestUnpublishFailed",
"BadRequestIterationNotPublished",
"BadRequestSubscriptionApi",
"BadRequestExceedProjectLimit",
"BadRequestExceedIterationPerProjectLimit",
"BadRequestExceedTagPerProjectLimit",
"BadRequestExceedTagPerImageLimit",
"BadRequestExceededQuota",
"BadRequestCannotMigrateProjectWithName",
"BadRequestNotLimitedTrial",
"BadRequestImageBatch",
"BadRequestImageStream",
"BadRequestImageUrl",
"BadRequestImageFormat",
"BadRequestImageSizeBytes",
"BadRequestImageExceededCount",
"BadRequestTrainingNotNeeded",
"BadRequestTrainingNotNeededButTrainingPipelineUpdated",
"BadRequestTrainingValidationFailed",
"BadRequestClassificationTrainingValidationFailed",
"BadRequestMultiClassClassificationTrainingValidationFailed",
"BadRequestMultiLabelClassificationTrainingValidationFailed",
"BadRequestDetectionTrainingValidationFailed",
"BadRequestTrainingAlreadyInProgress",
"BadRequestDetectionTrainingNotAllowNegativeTag",
"BadRequestInvalidEmailAddress",
"BadRequestDomainNotSupportedForAdvancedTraining",
"BadRequestExportPlatformNotSupportedForAdvancedTraining",
"BadRequestReservedBudgetInHoursNotEnoughForAdvancedTraining",
"BadRequestExportValidationFailed",
"BadRequestExportAlreadyInProgress",
"BadRequestPredictionIdsMissing",
"BadRequestPredictionIdsExceededCount",
"BadRequestPredictionTagsExceededCount",
"BadRequestPredictionResultsExceededCount",
"BadRequestPredictionInvalidApplicationName",
"BadRequestPredictionInvalidQueryParameters",
"BadRequestInvalidImportToken",
"BadRequestExportWhileTraining",
"BadRequestInvalid",
"UnsupportedMediaType",
"Forbidden",
"ForbiddenUser",
"ForbiddenUserResource",
"ForbiddenUserSignupDisabled",
"ForbiddenUserSignupAllowanceExceeded",
"ForbiddenUserDoesNotExist",
"ForbiddenUserDisabled",
"ForbiddenUserInsufficientCapability",
"ForbiddenDRModeEnabled",
"ForbiddenInvalid",
"NotFound",
"NotFoundProject",
"NotFoundProjectDefaultIteration",
"NotFoundIteration",
"NotFoundIterationPerformance",
"NotFoundTag",
"NotFoundImage",
"NotFoundDomain",
"NotFoundApimSubscription",
"NotFoundInvalid",
"Conflict",
"ConflictInvalid",
"ErrorUnknown",
"ErrorIterationCopyFailed",
"ErrorPreparePerformanceMigrationFailed",
"ErrorProjectInvalidWorkspace",
"ErrorProjectInvalidPipelineConfiguration",
"ErrorProjectInvalidDomain",
"ErrorProjectTrainingRequestFailed",
"ErrorProjectImportRequestFailed",
"ErrorProjectExportRequestFailed",
"ErrorFeaturizationServiceUnavailable",
"ErrorFeaturizationQueueTimeout",
"ErrorFeaturizationInvalidFeaturizer",
"ErrorFeaturizationAugmentationUnavailable",
"ErrorFeaturizationUnrecognizedJob",
"ErrorFeaturizationAugmentationError",
"ErrorExporterInvalidPlatform",
"ErrorExporterInvalidFeaturizer",
"ErrorExporterInvalidClassifier",
"ErrorPredictionServiceUnavailable",
"ErrorPredictionModelNotFound",
"ErrorPredictionModelNotCached",
"ErrorPrediction",
"ErrorPredictionStorage",
"ErrorRegionProposal",
"ErrorInvalid"
],
"type": "string",
"x-ms-enum": {
"name": "CustomVisionErrorCodes",
"modelAsString": true
}
},
"message": {
"description": "A message explaining the error reported by the service.",
"type": "string"
}
}
}<CustomVisionError>
<code>NoError</code>
<message>string</message>
</CustomVisionError>{
"required": [
"code",
"message"
],
"type": "object",
"properties": {
"code": {
"description": "The error code.",
"enum": [
"NoError",
"BadRequest",
"BadRequestExceededBatchSize",
"BadRequestNotSupported",
"BadRequestInvalidIds",
"BadRequestProjectName",
"BadRequestProjectNameNotUnique",
"BadRequestProjectDescription",
"BadRequestProjectUnknownDomain",
"BadRequestProjectUnknownClassification",
"BadRequestProjectUnsupportedDomainTypeChange",
"BadRequestProjectUnsupportedExportPlatform",
"BadRequestProjectImagePreprocessingSettings",
"BadRequestProjectDuplicated",
"BadRequestIterationName",
"BadRequestIterationNameNotUnique",
"BadRequestIterationDescription",
"BadRequestIterationIsNotTrained",
"BadRequestIterationValidationFailed",
"BadRequestWorkspaceCannotBeModified",
"BadRequestWorkspaceNotDeletable",
"BadRequestTagName",
"BadRequestTagNameNotUnique",
"BadRequestTagDescription",
"BadRequestTagType",
"BadRequestMultipleNegativeTag",
"BadRequestImageTags",
"BadRequestImageRegions",
"BadRequestNegativeAndRegularTagOnSameImage",
"BadRequestRequiredParamIsNull",
"BadRequestIterationIsPublished",
"BadRequestInvalidPublishName",
"BadRequestInvalidPublishTarget",
"BadRequestUnpublishFailed",
"BadRequestIterationNotPublished",
"BadRequestSubscriptionApi",
"BadRequestExceedProjectLimit",
"BadRequestExceedIterationPerProjectLimit",
"BadRequestExceedTagPerProjectLimit",
"BadRequestExceedTagPerImageLimit",
"BadRequestExceededQuota",
"BadRequestCannotMigrateProjectWithName",
"BadRequestNotLimitedTrial",
"BadRequestImageBatch",
"BadRequestImageStream",
"BadRequestImageUrl",
"BadRequestImageFormat",
"BadRequestImageSizeBytes",
"BadRequestImageExceededCount",
"BadRequestTrainingNotNeeded",
"BadRequestTrainingNotNeededButTrainingPipelineUpdated",
"BadRequestTrainingValidationFailed",
"BadRequestClassificationTrainingValidationFailed",
"BadRequestMultiClassClassificationTrainingValidationFailed",
"BadRequestMultiLabelClassificationTrainingValidationFailed",
"BadRequestDetectionTrainingValidationFailed",
"BadRequestTrainingAlreadyInProgress",
"BadRequestDetectionTrainingNotAllowNegativeTag",
"BadRequestInvalidEmailAddress",
"BadRequestDomainNotSupportedForAdvancedTraining",
"BadRequestExportPlatformNotSupportedForAdvancedTraining",
"BadRequestReservedBudgetInHoursNotEnoughForAdvancedTraining",
"BadRequestExportValidationFailed",
"BadRequestExportAlreadyInProgress",
"BadRequestPredictionIdsMissing",
"BadRequestPredictionIdsExceededCount",
"BadRequestPredictionTagsExceededCount",
"BadRequestPredictionResultsExceededCount",
"BadRequestPredictionInvalidApplicationName",
"BadRequestPredictionInvalidQueryParameters",
"BadRequestInvalidImportToken",
"BadRequestExportWhileTraining",
"BadRequestInvalid",
"UnsupportedMediaType",
"Forbidden",
"ForbiddenUser",
"ForbiddenUserResource",
"ForbiddenUserSignupDisabled",
"ForbiddenUserSignupAllowanceExceeded",
"ForbiddenUserDoesNotExist",
"ForbiddenUserDisabled",
"ForbiddenUserInsufficientCapability",
"ForbiddenDRModeEnabled",
"ForbiddenInvalid",
"NotFound",
"NotFoundProject",
"NotFoundProjectDefaultIteration",
"NotFoundIteration",
"NotFoundIterationPerformance",
"NotFoundTag",
"NotFoundImage",
"NotFoundDomain",
"NotFoundApimSubscription",
"NotFoundInvalid",
"Conflict",
"ConflictInvalid",
"ErrorUnknown",
"ErrorIterationCopyFailed",
"ErrorPreparePerformanceMigrationFailed",
"ErrorProjectInvalidWorkspace",
"ErrorProjectInvalidPipelineConfiguration",
"ErrorProjectInvalidDomain",
"ErrorProjectTrainingRequestFailed",
"ErrorProjectImportRequestFailed",
"ErrorProjectExportRequestFailed",
"ErrorFeaturizationServiceUnavailable",
"ErrorFeaturizationQueueTimeout",
"ErrorFeaturizationInvalidFeaturizer",
"ErrorFeaturizationAugmentationUnavailable",
"ErrorFeaturizationUnrecognizedJob",
"ErrorFeaturizationAugmentationError",
"ErrorExporterInvalidPlatform",
"ErrorExporterInvalidFeaturizer",
"ErrorExporterInvalidClassifier",
"ErrorPredictionServiceUnavailable",
"ErrorPredictionModelNotFound",
"ErrorPredictionModelNotCached",
"ErrorPrediction",
"ErrorPredictionStorage",
"ErrorRegionProposal",
"ErrorInvalid"
],
"type": "string",
"x-ms-enum": {
"name": "CustomVisionErrorCodes",
"modelAsString": true
}
},
"message": {
"description": "A message explaining the error reported by the service.",
"type": "string"
}
}
}<CustomVisionError>
<code>NoError</code>
<message>string</message>
</CustomVisionError>{
"required": [
"code",
"message"
],
"type": "object",
"properties": {
"code": {
"description": "The error code.",
"enum": [
"NoError",
"BadRequest",
"BadRequestExceededBatchSize",
"BadRequestNotSupported",
"BadRequestInvalidIds",
"BadRequestProjectName",
"BadRequestProjectNameNotUnique",
"BadRequestProjectDescription",
"BadRequestProjectUnknownDomain",
"BadRequestProjectUnknownClassification",
"BadRequestProjectUnsupportedDomainTypeChange",
"BadRequestProjectUnsupportedExportPlatform",
"BadRequestProjectImagePreprocessingSettings",
"BadRequestProjectDuplicated",
"BadRequestIterationName",
"BadRequestIterationNameNotUnique",
"BadRequestIterationDescription",
"BadRequestIterationIsNotTrained",
"BadRequestIterationValidationFailed",
"BadRequestWorkspaceCannotBeModified",
"BadRequestWorkspaceNotDeletable",
"BadRequestTagName",
"BadRequestTagNameNotUnique",
"BadRequestTagDescription",
"BadRequestTagType",
"BadRequestMultipleNegativeTag",
"BadRequestImageTags",
"BadRequestImageRegions",
"BadRequestNegativeAndRegularTagOnSameImage",
"BadRequestRequiredParamIsNull",
"BadRequestIterationIsPublished",
"BadRequestInvalidPublishName",
"BadRequestInvalidPublishTarget",
"BadRequestUnpublishFailed",
"BadRequestIterationNotPublished",
"BadRequestSubscriptionApi",
"BadRequestExceedProjectLimit",
"BadRequestExceedIterationPerProjectLimit",
"BadRequestExceedTagPerProjectLimit",
"BadRequestExceedTagPerImageLimit",
"BadRequestExceededQuota",
"BadRequestCannotMigrateProjectWithName",
"BadRequestNotLimitedTrial",
"BadRequestImageBatch",
"BadRequestImageStream",
"BadRequestImageUrl",
"BadRequestImageFormat",
"BadRequestImageSizeBytes",
"BadRequestImageExceededCount",
"BadRequestTrainingNotNeeded",
"BadRequestTrainingNotNeededButTrainingPipelineUpdated",
"BadRequestTrainingValidationFailed",
"BadRequestClassificationTrainingValidationFailed",
"BadRequestMultiClassClassificationTrainingValidationFailed",
"BadRequestMultiLabelClassificationTrainingValidationFailed",
"BadRequestDetectionTrainingValidationFailed",
"BadRequestTrainingAlreadyInProgress",
"BadRequestDetectionTrainingNotAllowNegativeTag",
"BadRequestInvalidEmailAddress",
"BadRequestDomainNotSupportedForAdvancedTraining",
"BadRequestExportPlatformNotSupportedForAdvancedTraining",
"BadRequestReservedBudgetInHoursNotEnoughForAdvancedTraining",
"BadRequestExportValidationFailed",
"BadRequestExportAlreadyInProgress",
"BadRequestPredictionIdsMissing",
"BadRequestPredictionIdsExceededCount",
"BadRequestPredictionTagsExceededCount",
"BadRequestPredictionResultsExceededCount",
"BadRequestPredictionInvalidApplicationName",
"BadRequestPredictionInvalidQueryParameters",
"BadRequestInvalidImportToken",
"BadRequestExportWhileTraining",
"BadRequestInvalid",
"UnsupportedMediaType",
"Forbidden",
"ForbiddenUser",
"ForbiddenUserResource",
"ForbiddenUserSignupDisabled",
"ForbiddenUserSignupAllowanceExceeded",
"ForbiddenUserDoesNotExist",
"ForbiddenUserDisabled",
"ForbiddenUserInsufficientCapability",
"ForbiddenDRModeEnabled",
"ForbiddenInvalid",
"NotFound",
"NotFoundProject",
"NotFoundProjectDefaultIteration",
"NotFoundIteration",
"NotFoundIterationPerformance",
"NotFoundTag",
"NotFoundImage",
"NotFoundDomain",
"NotFoundApimSubscription",
"NotFoundInvalid",
"Conflict",
"ConflictInvalid",
"ErrorUnknown",
"ErrorIterationCopyFailed",
"ErrorPreparePerformanceMigrationFailed",
"ErrorProjectInvalidWorkspace",
"ErrorProjectInvalidPipelineConfiguration",
"ErrorProjectInvalidDomain",
"ErrorProjectTrainingRequestFailed",
"ErrorProjectImportRequestFailed",
"ErrorProjectExportRequestFailed",
"ErrorFeaturizationServiceUnavailable",
"ErrorFeaturizationQueueTimeout",
"ErrorFeaturizationInvalidFeaturizer",
"ErrorFeaturizationAugmentationUnavailable",
"ErrorFeaturizationUnrecognizedJob",
"ErrorFeaturizationAugmentationError",
"ErrorExporterInvalidPlatform",
"ErrorExporterInvalidFeaturizer",
"ErrorExporterInvalidClassifier",
"ErrorPredictionServiceUnavailable",
"ErrorPredictionModelNotFound",
"ErrorPredictionModelNotCached",
"ErrorPrediction",
"ErrorPredictionStorage",
"ErrorRegionProposal",
"ErrorInvalid"
],
"type": "string",
"x-ms-enum": {
"name": "CustomVisionErrorCodes",
"modelAsString": true
}
},
"message": {
"description": "A message explaining the error reported by the service.",
"type": "string"
}
}
}Code samples
@ECHO OFF
curl -v -X GET "https://centralindia.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/iterations"
-H "Training-key: {subscription key}"
--data-ascii "{body}"
using System;
using System.Net.Http.Headers;
using System.Text;
using System.Net.Http;
using System.Web;
namespace CSHttpClientSample
{
static class Program
{
static void Main()
{
MakeRequest();
Console.WriteLine("Hit ENTER to exit...");
Console.ReadLine();
}
static async void MakeRequest()
{
var client = new HttpClient();
var queryString = HttpUtility.ParseQueryString(string.Empty);
// Request headers
client.DefaultRequestHeaders.Add("Training-key", "{subscription key}");
var uri = "https://centralindia.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/iterations?" + queryString;
var response = await client.GetAsync(uri);
}
}
} // // This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
import java.net.URI;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;
public class JavaSample
{
public static void main(String[] args)
{
HttpClient httpclient = HttpClients.createDefault();
try
{
URIBuilder builder = new URIBuilder("https://centralindia.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/iterations");
URI uri = builder.build();
HttpGet request = new HttpGet(uri);
request.setHeader("Training-key", "{subscription key}");
// Request body
StringEntity reqEntity = new StringEntity("{body}");
request.setEntity(reqEntity);
HttpResponse response = httpclient.execute(request);
HttpEntity entity = response.getEntity();
if (entity != null)
{
System.out.println(EntityUtils.toString(entity));
}
}
catch (Exception e)
{
System.out.println(e.getMessage());
}
}
}
<!DOCTYPE html>
<html>
<head>
<title>JSSample</title>
<script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
</head>
<body>
<script type="text/javascript">
$(function() {
var params = {
// Request parameters
};
$.ajax({
url: "https://centralindia.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/iterations?" + $.param(params),
beforeSend: function(xhrObj){
// Request headers
xhrObj.setRequestHeader("Training-key","{subscription key}");
},
type: "GET",
// Request body
data: "{body}",
})
.done(function(data) {
alert("success");
})
.fail(function() {
alert("error");
});
});
</script>
</body>
</html>
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[])
{
NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init];
NSString* path = @"https://centralindia.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/iterations";
NSArray* array = @[
// Request parameters
@"entities=true",
];
NSString* string = [array componentsJoinedByString:@"&"];
path = [path stringByAppendingFormat:@"?%@", string];
NSLog(@"%@", path);
NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
[_request setHTTPMethod:@"GET"];
// Request headers
[_request setValue:@"{subscription key}" forHTTPHeaderField:@"Training-key"];
// Request body
[_request setHTTPBody:[@"{body}" dataUsingEncoding:NSUTF8StringEncoding]];
NSURLResponse *response = nil;
NSError *error = nil;
NSData* _connectionData = [NSURLConnection sendSynchronousRequest:_request returningResponse:&response error:&error];
if (nil != error)
{
NSLog(@"Error: %@", error);
}
else
{
NSError* error = nil;
NSMutableDictionary* json = nil;
NSString* dataString = [[NSString alloc] initWithData:_connectionData encoding:NSUTF8StringEncoding];
NSLog(@"%@", dataString);
if (nil != _connectionData)
{
json = [NSJSONSerialization JSONObjectWithData:_connectionData options:NSJSONReadingMutableContainers error:&error];
}
if (error || !json)
{
NSLog(@"Could not parse loaded json with error:%@", error);
}
NSLog(@"%@", json);
_connectionData = nil;
}
[pool drain];
return 0;
}
<?php
// This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
require_once 'HTTP/Request2.php';
$request = new Http_Request2('https://centralindia.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/iterations');
$url = $request->getUrl();
$headers = array(
// Request headers
'Training-key' => '{subscription key}',
);
$request->setHeader($headers);
$parameters = array(
// Request parameters
);
$url->setQueryVariables($parameters);
$request->setMethod(HTTP_Request2::METHOD_GET);
// Request body
$request->setBody("{body}");
try
{
$response = $request->send();
echo $response->getBody();
}
catch (HttpException $ex)
{
echo $ex;
}
?>########### Python 2.7 #############
import httplib, urllib, base64
headers = {
# Request headers
'Training-key': '{subscription key}',
}
params = urllib.urlencode({
})
try:
conn = httplib.HTTPSConnection('centralindia.api.cognitive.microsoft.com')
conn.request("GET", "/customvision/v3.2/training/projects/{projectId}/iterations?%s" % params, "{body}", headers)
response = conn.getresponse()
data = response.read()
print(data)
conn.close()
except Exception as e:
print("[Errno {0}] {1}".format(e.errno, e.strerror))
####################################
########### Python 3.2 #############
import http.client, urllib.request, urllib.parse, urllib.error, base64
headers = {
# Request headers
'Training-key': '{subscription key}',
}
params = urllib.parse.urlencode({
})
try:
conn = http.client.HTTPSConnection('centralindia.api.cognitive.microsoft.com')
conn.request("GET", "/customvision/v3.2/training/projects/{projectId}/iterations?%s" % params, "{body}", headers)
response = conn.getresponse()
data = response.read()
print(data)
conn.close()
except Exception as e:
print("[Errno {0}] {1}".format(e.errno, e.strerror))
####################################require 'net/http'
uri = URI('https://centralindia.api.cognitive.microsoft.com/customvision/v3.2/training/projects/{projectId}/iterations')
uri.query = URI.encode_www_form({
})
request = Net::HTTP::Get.new(uri.request_uri)
# Request headers
request['Training-key'] = '{subscription key}'
# Request body
request.body = "{body}"
response = Net::HTTP.start(uri.host, uri.port, :use_ssl => uri.scheme == 'https') do |http|
http.request(request)
end
puts response.body