Cohesive.Adapters.AzureML 0.1.0-alpha.30

Cohesive.Adapters.AzureML

Azure Machine Learning adapters for model training and dataset registry workflows.

Install

dotnet add package Cohesive.Adapters.AzureML

Use When

• You want to run Cohesive training requests against Azure Machine Learning.
• You need dataset and model registry integration backed by Azure ML workspace resources.
• You want model training to remain behind Cohesive.AI provider-neutral contracts.

Example

using Cohesive.Adapters.AzureML;

var azureMl = new AzureMLOptions
{
    SubscriptionId = configuration["AzureML:SubscriptionId"],
    ResourceGroupName = configuration["AzureML:ResourceGroupName"],
    WorkspaceName = configuration["AzureML:WorkspaceName"],
    RegistryName = configuration["AzureML:RegistryName"]
};

var trainer = azureMl.GetModelTrainer();
var registry = azureMl.GetRegistry();

Training submission recovery

AzureMLModelTrainer realizes TrainingJobSubmission with a deterministic Azure ML job name derived from the complete logical submission identity. The job retains the original logical identity and the versioned exact-request fingerprint in cohesive.submissionId and cohesive.requestFingerprint properties.

Submitting the same identity and request returns the existing job. Reusing the identity with different request content, or colliding with a provider job that lacks Cohesive submission evidence, fails with TrainingJobSubmissionConflictException; the adapter never treats that job as accepted for the caller.

ReconcileSubmissionAsync performs a direct lookup by deterministic job name:

• a matching job returns Accepted;
• an authoritative not-found result returns ConfirmedAbsent;
• an Azure request failure returns Unresolved with portable error and retryability evidence; and
• mismatched identity or fingerprint evidence throws TrainingJobSubmissionConflictException.

This is stable-identity idempotency, not a claim of physical exactly-once delivery. The calling durable workflow retains attempt, timeout, cancellation, and retry authority and must reuse the exact same TrainingJobSubmission through reconciliation and any admitted retry.

Related Packages

• Cohesive.AI for training, dataset, and model registry contracts.
• Cohesive.Adapters.AzureStorage for Azure Blob-backed training artifacts and dataset streams.