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@datafire/microsoft_cognitiveservices_training

4.0.0 • Public • Published

@datafire/microsoft_cognitiveservices_training

Client library for Custom Vision Training Client

Installation and Usage

npm install --save @datafire/microsoft_cognitiveservices_training
let microsoft_cognitiveservices_training = require('@datafire/microsoft_cognitiveservices_training').create();

.then(data => {
  console.log(data);
});

Description

Actions

GetDomains

Get a list of the available domains.

microsoft_cognitiveservices_training.GetDomains({
  "Training-Key": ""
}, context)

Input

  • input object
    • Training-Key required string: API key.

Output

GetDomain

Get information about a specific domain.

microsoft_cognitiveservices_training.GetDomain({
  "domainId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • domainId required string: The id of the domain to get information about.
    • Training-Key required string: API key.

Output

GetProjects

Get your projects.

microsoft_cognitiveservices_training.GetProjects({
  "Training-Key": ""
}, context)

Input

  • input object
    • Training-Key required string: API key.

Output

CreateProject

Create a project.

microsoft_cognitiveservices_training.CreateProject({
  "name": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • name required string: Name of the project.
    • description string: The description of the project.
    • domainId string: The id of the domain to use for this project. Defaults to General.
    • classificationType string (values: Multiclass, Multilabel): The type of classifier to create for this project.
    • targetExportPlatforms array: List of platforms the trained model is intending exporting to.
    • Training-Key required string: API key.

Output

DeleteProject

Delete a specific project.

microsoft_cognitiveservices_training.DeleteProject({
  "projectId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • Training-Key required string: API key.

Output

Output schema unknown

GetProject

Get a specific project.

microsoft_cognitiveservices_training.GetProject({
  "projectId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The id of the project to get.
    • Training-Key required string: API key.

Output

UpdateProject

Update a specific project.

microsoft_cognitiveservices_training.UpdateProject({
  "projectId": "",
  "Training-Key": "",
  "body": {
    "name": "",
    "description": "",
    "settings": {}
  }
}, context)

Input

  • input object
    • projectId required string: The id of the project to update.
    • Training-Key required string: API key.
    • body required Project

Output

DeleteImages

Delete images from the set of training images.

microsoft_cognitiveservices_training.DeleteImages({
  "projectId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • imageIds array: Ids of the images to be deleted. Limited to 256 images per batch.
    • allImages boolean: Flag to specify delete all images, specify this flag or a list of images. Using this flag will return a 202 response to indicate the images are being deleted.
    • allIterations boolean: Removes these images from all iterations, not just the current workspace. Using this flag will return a 202 response to indicate the images are being deleted.
    • Training-Key required string: API key.

Output

Output schema unknown

CreateImagesFromData

This API accepts body content as multipart/form-data and application/octet-stream. When using multipart multiple image files can be sent at once, with a maximum of 64 files

microsoft_cognitiveservices_training.CreateImagesFromData({
  "projectId": "",
  "Training-Key": "",
  "imageData": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • tagIds array: The tags ids with which to tag each image. Limited to 20.
    • Training-Key required string: API key.
    • imageData required string: Binary image data. Supported formats are JPEG, GIF, PNG, and BMP. Supports images up to 6MB.

Output

CreateImagesFromFiles

This API accepts a batch of files, and optionally tags, to create images. There is a limit of 64 images and 20 tags.

microsoft_cognitiveservices_training.CreateImagesFromFiles({
  "projectId": "",
  "Training-Key": "",
  "body": {}
}, context)

Input

  • input object
    • projectId required string: The project id.
    • Training-Key required string: API key.
    • body required ImageFileCreateBatch

Output

GetImagesByIds

This API will return a set of Images for the specified tags and optionally iteration. If no iteration is specified the current workspace is used.

microsoft_cognitiveservices_training.GetImagesByIds({
  "projectId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • imageIds array: The list of image ids to retrieve. Limited to 256.
    • iterationId string: The iteration id. Defaults to workspace.
    • Training-Key required string: API key.

Output

  • output array

CreateImagesFromPredictions

This API creates a batch of images from predicted images specified. There is a limit of 64 images and 20 tags.

microsoft_cognitiveservices_training.CreateImagesFromPredictions({
  "projectId": "",
  "Training-Key": "",
  "body": {}
}, context)

Input

  • input object
    • projectId required string: The project id.
    • Training-Key required string: API key.
    • body required ImageIdCreateBatch

Output

DeleteImageRegions

Delete a set of image regions.

microsoft_cognitiveservices_training.DeleteImageRegions({
  "projectId": "",
  "regionIds": [],
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • regionIds required array: Regions to delete. Limited to 64.
    • Training-Key required string: API key.

Output

Output schema unknown

CreateImageRegions

This API accepts a batch of image regions, and optionally tags, to update existing images with region information. There is a limit of 64 entries in the batch.

microsoft_cognitiveservices_training.CreateImageRegions({
  "projectId": "",
  "Training-Key": "",
  "body": {}
}, context)

Input

  • input object
    • projectId required string: The project id.
    • Training-Key required string: API key.
    • body required ImageRegionCreateBatch

Output

QuerySuggestedImages

This API will fetch untagged images filtered by suggested tags Ids. It returns an empty array if no images are found.

microsoft_cognitiveservices_training.QuerySuggestedImages({
  "projectId": "",
  "iterationId": "",
  "Training-Key": "",
  "body": {}
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId required string: IterationId to use for the suggested tags and regions.
    • Training-Key required string: API key.
    • body required SuggestedTagAndRegionQueryToken

Output

QuerySuggestedImageCount

This API takes in tagIds to get count of untagged images per suggested tags for a given threshold.

microsoft_cognitiveservices_training.QuerySuggestedImageCount({
  "projectId": "",
  "iterationId": "",
  "Training-Key": "",
  "body": {}
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId required string: IterationId to use for the suggested tags and regions.
    • Training-Key required string: API key.
    • body required TagFilter

Output

  • output object

GetTaggedImages

This API supports batching and range selection. By default it will only return first 50 images matching images. Use the {take} and {skip} parameters to control how many images to return in a given batch. The filtering is on an and/or relationship. For example, if the provided tag ids are for the "Dog" and "Cat" tags, then only images tagged with Dog and/or Cat will be returned

microsoft_cognitiveservices_training.GetTaggedImages({
  "projectId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId string: The iteration id. Defaults to workspace.
    • tagIds array: A list of tags ids to filter the images. Defaults to all tagged images when null. Limited to 20.
    • orderBy string (values: Newest, Oldest): The ordering. Defaults to newest.
    • take integer: Maximum number of images to return. Defaults to 50, limited to 256.
    • skip integer: Number of images to skip before beginning the image batch. Defaults to 0.
    • Training-Key required string: API key.

Output

  • output array

GetTaggedImageCount

The filtering is on an and/or relationship. For example, if the provided tag ids are for the "Dog" and "Cat" tags, then only images tagged with Dog and/or Cat will be returned

microsoft_cognitiveservices_training.GetTaggedImageCount({
  "projectId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId string: The iteration id. Defaults to workspace.
    • tagIds array: A list of tags ids to filter the images to count. Defaults to all tags when null.
    • Training-Key required string: API key.

Output

  • output integer

DeleteImageTags

Remove a set of tags from a set of images.

microsoft_cognitiveservices_training.DeleteImageTags({
  "projectId": "",
  "imageIds": [],
  "tagIds": [],
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • imageIds required array: Image ids. Limited to 64 images.
    • tagIds required array: Tags to be deleted from the specified images. Limited to 20 tags.
    • Training-Key required string: API key.

Output

Output schema unknown

CreateImageTags

Associate a set of images with a set of tags.

microsoft_cognitiveservices_training.CreateImageTags({
  "projectId": "",
  "Training-Key": "",
  "body": {}
}, context)

Input

  • input object
    • projectId required string: The project id.
    • Training-Key required string: API key.
    • body required ImageTagCreateBatch

Output

GetUntaggedImages

This API supports batching and range selection. By default it will only return first 50 images matching images. Use the {take} and {skip} parameters to control how many images to return in a given batch.

microsoft_cognitiveservices_training.GetUntaggedImages({
  "projectId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId string: The iteration id. Defaults to workspace.
    • orderBy string (values: Newest, Oldest): The ordering. Defaults to newest.
    • take integer: Maximum number of images to return. Defaults to 50, limited to 256.
    • skip integer: Number of images to skip before beginning the image batch. Defaults to 0.
    • Training-Key required string: API key.

Output

  • output array

GetUntaggedImageCount

This API returns the images which have no tags for a given project and optionally an iteration. If no iteration is specified the current workspace is used.

microsoft_cognitiveservices_training.GetUntaggedImageCount({
  "projectId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId string: The iteration id. Defaults to workspace.
    • Training-Key required string: API key.

Output

  • output integer

CreateImagesFromUrls

This API accepts a batch of urls, and optionally tags, to create images. There is a limit of 64 images and 20 tags.

microsoft_cognitiveservices_training.CreateImagesFromUrls({
  "projectId": "",
  "Training-Key": "",
  "body": {}
}, context)

Input

  • input object
    • projectId required string: The project id.
    • Training-Key required string: API key.
    • body required ImageUrlCreateBatch

Output

GetImageRegionProposals

This API will get region proposals for an image along with confidences for the region. It returns an empty array if no proposals are found.

microsoft_cognitiveservices_training.GetImageRegionProposals({
  "projectId": "",
  "imageId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • imageId required string: The image id.
    • Training-Key required string: API key.

Output

GetIterations

Get iterations for the project.

microsoft_cognitiveservices_training.GetIterations({
  "projectId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • Training-Key required string: API key.

Output

DeleteIteration

Delete a specific iteration of a project.

microsoft_cognitiveservices_training.DeleteIteration({
  "projectId": "",
  "iterationId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId required string: The iteration id.
    • Training-Key required string: API key.

Output

Output schema unknown

GetIteration

Get a specific iteration.

microsoft_cognitiveservices_training.GetIteration({
  "projectId": "",
  "iterationId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The id of the project the iteration belongs to.
    • iterationId required string: The id of the iteration to get.
    • Training-Key required string: API key.

Output

UpdateIteration

Update a specific iteration.

microsoft_cognitiveservices_training.UpdateIteration({
  "projectId": "",
  "iterationId": "",
  "Training-Key": "",
  "body": {
    "name": ""
  }
}, context)

Input

  • input object
    • projectId required string: Project id.
    • iterationId required string: Iteration id.
    • Training-Key required string: API key.
    • body required Iteration

Output

GetExports

Get the list of exports for a specific iteration.

microsoft_cognitiveservices_training.GetExports({
  "projectId": "",
  "iterationId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId required string: The iteration id.
    • Training-Key required string: API key.

Output

ExportIteration

Export a trained iteration.

microsoft_cognitiveservices_training.ExportIteration({
  "projectId": "",
  "iterationId": "",
  "platform": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId required string: The iteration id.
    • platform required string (values: CoreML, TensorFlow, DockerFile, ONNX, VAIDK): The target platform.
    • flavor string (values: Linux, Windows, ONNX10, ONNX12, ARM, TensorFlowNormal, TensorFlowLite): The flavor of the target platform.
    • Training-Key required string: API key.

Output

GetIterationPerformance

Get detailed performance information about an iteration.

microsoft_cognitiveservices_training.GetIterationPerformance({
  "projectId": "",
  "iterationId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The id of the project the iteration belongs to.
    • iterationId required string: The id of the iteration to get.
    • threshold number: The threshold used to determine true predictions.
    • overlapThreshold number: If applicable, the bounding box overlap threshold used to determine true predictions.
    • Training-Key required string: API key.

Output

GetImagePerformances

This API supports batching and range selection. By default it will only return first 50 images matching images. Use the {take} and {skip} parameters to control how many images to return in a given batch. The filtering is on an and/or relationship. For example, if the provided tag ids are for the "Dog" and "Cat" tags, then only images tagged with Dog and/or Cat will be returned

microsoft_cognitiveservices_training.GetImagePerformances({
  "projectId": "",
  "iterationId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId required string: The iteration id. Defaults to workspace.
    • tagIds array: A list of tags ids to filter the images. Defaults to all tagged images when null. Limited to 20.
    • orderBy string (values: Newest, Oldest): The ordering. Defaults to newest.
    • take integer: Maximum number of images to return. Defaults to 50, limited to 256.
    • skip integer: Number of images to skip before beginning the image batch. Defaults to 0.
    • Training-Key required string: API key.

Output

GetImagePerformanceCount

The filtering is on an and/or relationship. For example, if the provided tag ids are for the "Dog" and "Cat" tags, then only images tagged with Dog and/or Cat will be returned

microsoft_cognitiveservices_training.GetImagePerformanceCount({
  "projectId": "",
  "iterationId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId required string: The iteration id. Defaults to workspace.
    • tagIds array: A list of tags ids to filter the images to count. Defaults to all tags when null.
    • Training-Key required string: API key.

Output

  • output integer

UnpublishIteration

Unpublish a specific iteration.

microsoft_cognitiveservices_training.UnpublishIteration({
  "projectId": "",
  "iterationId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId required string: The iteration id.
    • Training-Key required string: API key.

Output

Output schema unknown

PublishIteration

Publish a specific iteration.

microsoft_cognitiveservices_training.PublishIteration({
  "projectId": "",
  "iterationId": "",
  "publishName": "",
  "predictionId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId required string: The iteration id.
    • publishName required string: The name to give the published iteration.
    • predictionId required string: The id of the prediction resource to publish to.
    • Training-Key required string: API key.

Output

  • output boolean

DeletePrediction

Delete a set of predicted images and their associated prediction results.

microsoft_cognitiveservices_training.DeletePrediction({
  "projectId": "",
  "ids": [],
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • ids required array: The prediction ids. Limited to 64.
    • Training-Key required string: API key.

Output

Output schema unknown

QueryPredictions

Get images that were sent to your prediction endpoint.

microsoft_cognitiveservices_training.QueryPredictions({
  "projectId": "",
  "Training-Key": "",
  "body": {}
}, context)

Input

  • input object
    • projectId required string: The project id.
    • Training-Key required string: API key.
    • body required PredictionQueryToken

Output

QuickTestImage

Quick test an image.

microsoft_cognitiveservices_training.QuickTestImage({
  "projectId": "",
  "Training-Key": "",
  "imageData": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId string: Optional. Specifies the id of a particular iteration to evaluate against.
    • store boolean: Optional. Specifies whether or not to store the result of this prediction. The default is true, to store.
    • Training-Key required string: API key.
    • imageData required string: Binary image data. Supported formats are JPEG, GIF, PNG, and BMP. Supports images up to 6MB.

Output

QuickTestImageUrl

Quick test an image url.

microsoft_cognitiveservices_training.QuickTestImageUrl({
  "projectId": "",
  "Training-Key": "",
  "body": {
    "url": ""
  }
}, context)

Input

  • input object
    • projectId required string: The project to evaluate against.
    • iterationId string: Optional. Specifies the id of a particular iteration to evaluate against.
    • store boolean: Optional. Specifies whether or not to store the result of this prediction. The default is true, to store.
    • Training-Key required string: API key.
    • body required ImageUrl

Output

GetTags

Get the tags for a given project and iteration.

microsoft_cognitiveservices_training.GetTags({
  "projectId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId string: The iteration id. Defaults to workspace.
    • Training-Key required string: API key.

Output

  • output array

CreateTag

Create a tag for the project.

microsoft_cognitiveservices_training.CreateTag({
  "projectId": "",
  "name": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • name required string: The tag name.
    • description string: Optional description for the tag.
    • type string (values: Regular, Negative): Optional type for the tag.
    • Training-Key required string: API key.

Output

DeleteTag

Delete a tag from the project.

microsoft_cognitiveservices_training.DeleteTag({
  "projectId": "",
  "tagId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • tagId required string: Id of the tag to be deleted.
    • Training-Key required string: API key.

Output

Output schema unknown

GetTag

Get information about a specific tag.

microsoft_cognitiveservices_training.GetTag({
  "projectId": "",
  "tagId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project this tag belongs to.
    • tagId required string: The tag id.
    • iterationId string: The iteration to retrieve this tag from. Optional, defaults to current training set.
    • Training-Key required string: API key.

Output

UpdateTag

Update a tag.

microsoft_cognitiveservices_training.UpdateTag({
  "projectId": "",
  "tagId": "",
  "Training-Key": "",
  "body": {
    "name": "",
    "description": "",
    "type": ""
  }
}, context)

Input

  • input object
    • projectId required string: The project id.
    • tagId required string: The id of the target tag.
    • Training-Key required string: API key.
    • body required Tag

Output

SuggestTagsAndRegions

This API will get suggested tags and regions for an array/batch of untagged images along with confidences for the tags. It returns an empty array if no tags are found. There is a limit of 64 images in the batch.

microsoft_cognitiveservices_training.SuggestTagsAndRegions({
  "projectId": "",
  "iterationId": "",
  "imageIds": [],
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • iterationId required string: IterationId to use for tag and region suggestion.
    • imageIds required array: Array of image ids tag suggestion are needed for. Use GetUntaggedImages API to get imageIds.
    • Training-Key required string: API key.

Output

TrainProject

Queues project for training.

microsoft_cognitiveservices_training.TrainProject({
  "projectId": "",
  "Training-Key": ""
}, context)

Input

  • input object
    • projectId required string: The project id.
    • trainingType string (values: Regular, Advanced): The type of training to use to train the project (default: Regular).
    • reservedBudgetInHours integer: The number of hours reserved as budget for training (if applicable).
    • forceTrain boolean: Whether to force train even if dataset and configuration does not change (default: false).
    • notificationEmailAddress string: The email address to send notification to when training finishes (default: null).
    • Training-Key required string: API key.

Output

Definitions

BoundingBox

  • BoundingBox object: Bounding box that defines a region of an image.
    • height required number: Height.
    • left required number: Coordinate of the left boundary.
    • top required number: Coordinate of the top boundary.
    • width required number: Width.

CustomVisionError

  • CustomVisionError object
    • code required string (values: NoError, BadRequest, BadRequestExceededBatchSize, BadRequestNotSupported, BadRequestInvalidIds, BadRequestProjectName, BadRequestProjectNameNotUnique, BadRequestProjectDescription, BadRequestProjectUnknownDomain, BadRequestProjectUnknownClassification, BadRequestProjectUnsupportedDomainTypeChange, BadRequestProjectUnsupportedExportPlatform, BadRequestProjectImagePreprocessingSettings, BadRequestIterationName, BadRequestIterationNameNotUnique, BadRequestIterationDescription, BadRequestIterationIsNotTrained, 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, 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, ErrorProjectInvalidWorkspace, ErrorProjectInvalidPipelineConfiguration, ErrorProjectInvalidDomain, ErrorProjectTrainingRequestFailed, ErrorProjectExportRequestFailed, ErrorFeaturizationServiceUnavailable, ErrorFeaturizationQueueTimeout, ErrorFeaturizationInvalidFeaturizer, ErrorFeaturizationAugmentationUnavailable, ErrorFeaturizationUnrecognizedJob, ErrorFeaturizationAugmentationError, ErrorExporterInvalidPlatform, ErrorExporterInvalidFeaturizer, ErrorExporterInvalidClassifier, ErrorPredictionServiceUnavailable, ErrorPredictionModelNotFound, ErrorPredictionModelNotCached, ErrorPrediction, ErrorPredictionStorage, ErrorRegionProposal, ErrorInvalid): The error code.
    • message required string: A message explaining the error reported by the service.

Domain

  • Domain object
    • enabled boolean
    • exportable boolean
    • id string
    • name string
    • type string (values: Classification, ObjectDetection)

Export

  • Export object
    • downloadUri string: URI used to download the model.
    • flavor string (values: Linux, Windows, ONNX10, ONNX12, ARM, TensorFlowNormal, TensorFlowLite): Flavor of the export.
    • newerVersionAvailable boolean: Indicates an updated version of the export package is available and should be re-exported for the latest changes.
    • platform string (values: CoreML, TensorFlow, DockerFile, ONNX, VAIDK): Platform of the export.
    • status string (values: Exporting, Failed, Done): Status of the export.

Image

  • Image object: Image model to be sent as JSON.
    • tags array: Tags associated with this image.
    • created string: Date the image was created.
    • height integer: Height of the image.
    • id string: Id of the image.
    • originalImageUri string: The URI to the original uploaded image.
    • regions array: Regions associated with this image.
    • resizedImageUri string: The URI to the (resized) image used for training.
    • thumbnailUri string: The URI to the thumbnail of the original image.
    • width integer: Width of the image.

ImageCreateResult

  • ImageCreateResult object
    • image Image
    • sourceUrl string: Source URL of the image.
    • status string (values: OK, OKDuplicate, ErrorSource, ErrorImageFormat, ErrorImageSize, ErrorStorage, ErrorLimitExceed, ErrorTagLimitExceed, ErrorRegionLimitExceed, ErrorUnknown, ErrorNegativeAndRegularTagOnSameImage): Status of the image creation.

ImageCreateSummary

  • ImageCreateSummary object
    • images array: List of the image creation results.
    • isBatchSuccessful boolean: True if all of the images in the batch were created successfully, otherwise false.

ImageFileCreateBatch

ImageFileCreateEntry

  • ImageFileCreateEntry object
    • contents string
    • name string
    • regions array
    • tagIds array
      • items string

ImageIdCreateBatch

  • ImageIdCreateBatch object

ImageIdCreateEntry

  • ImageIdCreateEntry object
    • id string: Id of the image.
    • regions array
    • tagIds array
      • items string

ImagePerformance

  • ImagePerformance object: Image performance model.
    • tags array
    • created string
    • height integer
    • id string
    • imageUri string
    • predictions array
    • regions array
    • thumbnailUri string
    • width integer

ImagePrediction

  • ImagePrediction object: Result of an image prediction request.
    • created string: Date this prediction was created.
    • id string: Prediction Id.
    • iteration string: Iteration Id.
    • predictions array: List of predictions.
    • project string: Project Id.

ImageProcessingSettings

  • ImageProcessingSettings object: Represents image preprocessing settings used by image augmentation.
    • augmentationMethods object: Gets or sets enabled image transforms. The key corresponds to the transform name. If value is set to true, then correspondent transform is enabled. Otherwise this transform will not be used.

ImageRegion

  • ImageRegion object
    • created string
    • height required number: Height.
    • left required number: Coordinate of the left boundary.
    • regionId string
    • tagId required string: Id of the tag associated with this region.
    • tagName string
    • top required number: Coordinate of the top boundary.
    • width required number: Width.

ImageRegionCreateBatch

  • ImageRegionCreateBatch object: Batch of image region information to create.

ImageRegionCreateEntry

  • ImageRegionCreateEntry object: Entry associating a region to an image.
    • height required number: Height.
    • imageId required string: Id of the image.
    • left required number: Coordinate of the left boundary.
    • tagId required string: Id of the tag associated with this region.
    • top required number: Coordinate of the top boundary.
    • width required number: Width.

ImageRegionCreateResult

  • ImageRegionCreateResult object
    • created string
    • height required number: Height.
    • imageId string
    • left required number: Coordinate of the left boundary.
    • regionId string
    • tagId required string: Id of the tag associated with this region.
    • tagName string
    • top required number: Coordinate of the top boundary.
    • width required number: Width.

ImageRegionCreateSummary

ImageRegionProposal

  • ImageRegionProposal object
    • imageId string
    • projectId string
    • proposals array

ImageTag

  • ImageTag object
    • created string
    • tagId string
    • tagName string

ImageTagCreateBatch

  • ImageTagCreateBatch object: Batch of image tags.

ImageTagCreateEntry

  • ImageTagCreateEntry object: Entry associating a tag to an image.
    • imageId string: Id of the image.
    • tagId string: Id of the tag.

ImageTagCreateSummary

ImageUrl

  • ImageUrl object: Image url.
    • url required string: Url of the image.

ImageUrlCreateBatch

ImageUrlCreateEntry

  • ImageUrlCreateEntry object
    • regions array
    • tagIds array
      • items string
    • url required string: Url of the image.

Iteration

  • Iteration object: Iteration model to be sent over JSON.
    • classificationType string (values: Multiclass, Multilabel): Gets the classification type of the project.
    • created string: Gets the time this iteration was completed.
    • domainId string: Get or sets a guid of the domain the iteration has been trained on.
    • exportable boolean: Whether the iteration can be exported to another format for download.
    • exportableTo array: A set of platforms this iteration can export to.
      • items string (values: CoreML, TensorFlow, DockerFile, ONNX, VAIDK)
    • id string: Gets the id of the iteration.
    • lastModified string: Gets the time this iteration was last modified.
    • name required string: Gets or sets the name of the iteration.
    • originalPublishResourceId string: Resource Provider Id this iteration was originally published to.
    • projectId string: Gets the project id of the iteration.
    • publishName string: Name of the published model.
    • reservedBudgetInHours integer: Gets the reserved advanced training budget for the iteration.
    • status string: Gets the current iteration status.
    • trainedAt string: Gets the time this iteration was last modified.
    • trainingTimeInMinutes integer: Gets the training time for the iteration.
    • trainingType string (values: Regular, Advanced): Gets the training type of the iteration.

IterationPerformance

  • IterationPerformance object: Represents the detailed performance data for a trained iteration.
    • averagePrecision number: Gets the average precision when applicable.
    • perTagPerformance array: Gets the per-tag performance details for this iteration.
    • precision number: Gets the precision.
    • precisionStdDeviation number: Gets the standard deviation for the precision.
    • recall number: Gets the recall.
    • recallStdDeviation number: Gets the standard deviation for the recall.

Prediction

  • Prediction object: Prediction result.
    • boundingBox BoundingBox
    • probability number: Probability of the tag.
    • tagId string: Id of the predicted tag.
    • tagName string: Name of the predicted tag.

PredictionQueryResult

  • PredictionQueryResult object: Query result of the prediction images that were sent to your prediction endpoint.

PredictionQueryTag

  • PredictionQueryTag object
    • id string
    • maxThreshold number
    • minThreshold number

PredictionQueryToken

  • PredictionQueryToken object
    • tags array
    • application string
    • continuation string
    • endTime string
    • iterationId string
    • maxCount integer
    • orderBy string (values: Newest, Oldest, Suggested)
    • session string
    • startTime string

Project

  • Project object: Represents a project.
    • created string: Gets the date this project was created.
    • description required string: Gets or sets the description of the project.
    • drModeEnabled boolean: Gets if the Disaster Recovery (DR) mode is on, indicating the project is temporarily read-only.
    • id string: Gets the project id.
    • lastModified string: Gets the date this project was last modified.
    • name required string: Gets or sets the name of the project.
    • settings required ProjectSettings
    • thumbnailUri string: Gets the thumbnail url representing the image.

ProjectSettings

  • ProjectSettings object: Represents settings associated with a project.
    • classificationType string (values: Multiclass, Multilabel): Gets or sets the classification type of the project.
    • detectionParameters string: Detection parameters in use, if any.
    • domainId string: Gets or sets the id of the Domain to use with this project.
    • imageProcessingSettings ImageProcessingSettings
    • targetExportPlatforms array: A list of ExportPlatform that the trained model should be able to support.
      • items string (values: CoreML, TensorFlow, DockerFile, ONNX, VAIDK)
    • useNegativeSet boolean: Indicates if negative set is being used.

Region

  • Region object
    • height required number: Height.
    • left required number: Coordinate of the left boundary.
    • tagId required string: Id of the tag associated with this region.
    • top required number: Coordinate of the top boundary.
    • width required number: Width.

RegionProposal

  • RegionProposal object

StoredImagePrediction

  • StoredImagePrediction object: Result of an image prediction request.
    • created string: Date this prediction was created.
    • domain string: Domain used for the prediction.
    • id string: Prediction Id.
    • iteration string: Iteration Id.
    • originalImageUri string: The URI to the original prediction image.
    • predictions array: List of predictions.
    • project string: Project Id.
    • resizedImageUri string: The URI to the (resized) prediction image.
    • thumbnailUri string: The URI to the thumbnail of the original prediction image.

StoredSuggestedTagAndRegion

  • StoredSuggestedTagAndRegion object: Result of a suggested tags and regions request of the untagged image.
    • created string: Date this prediction was created.
    • domain string: Domain used for the prediction.
    • height integer: Height of the resized image.
    • id string: Prediction Id.
    • iteration string: Iteration Id.
    • originalImageUri string: The URI to the original prediction image.
    • predictionUncertainty number: Uncertainty (entropy) of suggested tags or regions per image.
    • predictions array: List of predictions.
    • project string: Project Id.
    • resizedImageUri string: The URI to the (resized) prediction image.
    • thumbnailUri string: The URI to the thumbnail of the original prediction image.
    • width integer: Width of the resized image.

SuggestedTagAndRegion

  • SuggestedTagAndRegion object: Result of a suggested tags and regions request.
    • created string: Date this prediction was created.
    • id string: Prediction Id.
    • iteration string: Iteration Id.
    • predictionUncertainty number: Uncertainty (entropy) of suggested tags or regions per image.
    • predictions array: List of predictions.
    • project string: Project Id.

SuggestedTagAndRegionQuery

  • SuggestedTagAndRegionQuery object: The array of result images and token containing session and continuation Ids for the next query.

SuggestedTagAndRegionQueryToken

  • SuggestedTagAndRegionQueryToken object: Contains properties we need to fetch suggested tags for. For the first call, Session and continuation set to null.
    • continuation string: Continuation Id for database pagination. Initially null but later used to paginate.
    • maxCount integer: Maximum number of results you want to be returned in the response.
    • session string: SessionId for database query. Initially set to null but later used to paginate.
    • sortBy string (values: UncertaintyAscending, UncertaintyDescending): OrderBy. Ordering mechanism for your results.
    • tagIds array: Existing TagIds in project to filter suggested tags on.
      • items string
    • threshold number: Confidence threshold to filter suggested tags on.

Tag

  • Tag object: Represents a Tag.
    • description required string: Gets or sets the description of the tag.
    • id string: Gets the Tag ID.
    • imageCount integer: Gets the number of images with this tag.
    • name required string: Gets or sets the name of the tag.
    • type required string (values: Regular, Negative): Gets or sets the type of the tag.

TagFilter

  • TagFilter object: Model that query for counting of images whose suggested tags match given tags and their probability are greater than or equal to the given threshold.
    • tagIds array: Existing TagIds in project to get suggested tags count for.
      • items string
    • threshold number: Confidence threshold to filter suggested tags on.

TagPerformance

  • TagPerformance object: Represents performance data for a particular tag in a trained iteration.
    • averagePrecision number: Gets the average precision when applicable.
    • id string
    • name string
    • precision number: Gets the precision.
    • precisionStdDeviation number: Gets the standard deviation for the precision.
    • recall number: Gets the recall.
    • recallStdDeviation number: Gets the standard deviation for the recall.

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npm i @datafire/microsoft_cognitiveservices_training

Repository

github.com/DataFire/integrations

Homepage

github.com/DataFire/integrations#readme

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License

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