Mock sample for your project: Azure Machine Learning Datastore Management Client API

Subscription client provides an interface to create and manage Azure subscriptions programmatically.

Deployment Admin Client.

Deployment Admin Client.

Use these REST APIs for performing operations on Identity Provider entity associated with your Azure API Management deployment. Setting up an external Identity Provider for authentication can help you manage the developer portal logins using the OAuth2 flow.

The Admin Subscriptions Management Client.

Describes the interface for the per-tenant enclave service.

Logical network operation endpoints and objects.

Resource provider health operation endpoints and objects.

These APIs allow end users to operate on Azure Machine Learning Workspace resources.

API to Add/Remove/List Guest Diagnostics Settings Association for Azure Resources

The Anomaly Detector API detects anomalies automatically in time series data. It supports two kinds of mode, one is for stateless using, another is for stateful using. In stateless mode, there are three functionalities. Entire Detect is for detecting the whole series with model trained by the time series, Last Detect is detecting last point with model trained by points before. ChangePoint Detect is for detecting trend changes in time series. In stateful mode, user can store time series, the stored time series will be used for detection anomalies. Under this mode, user can still use the above three functionalities by only giving a time range without preparing time series in client side. Besides the above three functionalities, stateful model also provide group based detection and labeling service. By leveraging labeling service user can provide labels for each detection result, these labels will be used for retuning or regenerating detection models. Inconsistency detection is a kind of group based detection, this detection will find inconsistency ones in a set of time series. By using anomaly detector service, business customers can discover incidents and establish a logic flow for root cause analysis.

Creates an Azure Data Lake Store filesystem client.

To manage and control access to your resources, you can define customized policies and assign them at a scope.

The SAP HANA on Azure Management Client.

The Hybrid Compute Management Client.

Azure Event Hubs client

You use the API to scan your content as it is generated. Content Moderator then processes your content and sends the results along with relevant information either back to your systems or to the built-in review tool. You can use this information to take decisions e.g. take it down, send to human judge, etc.
When using the API, images need to have a minimum of 128 pixels and a maximum file size of 4MB.
Text can be at most 1024 characters long.
If the content passed to the text API or the image API exceeds the size limits, the API will return an error code that informs about the issue.

These APIs allow end users to operate on Azure Machine Learning Commitment Plans resources and their child Commitment Association resources. They support CRUD operations for commitment plans, get and list operations for commitment associations, moving commitment associations between commitment plans, and retrieving commitment plan usage history.

Streaming resource management client for Azure Media Services

Microsoft Azure Mobile Engagement REST APIs.