Mock sample for your project: PostgreSQLManagementClient API

Use this API to manage the Windows IoT device services in your Azure subscription.

Resource Provider

The Container Service Client.

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.

The Container Service Client.

The service is used to perform ink layout and recognition of written words and shapes. Ink strokes passed to the service are recognized and organized into recognition results in the response

Update run operation endpoints and objects.

The Container Service Client.

The Azure Storage Management API.

API for using the Azure IoT Hub Device Provisioning Service features.

The Run Commands Client.

APIs to manage web application firewall rules for Azure CDN

Azure Cosmos DB Database Service Resource Provider REST API

Azure Cosmos DB Database Service Resource Provider REST API

Virtual Machine Image Template

REST APIs for orchestrating deployments using the Azure Deployment Manager (ADM). See https://docs.microsoft.com/en-us/azure/azure-resource-manager/deployment-manager-overview for more information.

These APIs allow end users to operate on Azure Machine Learning Web Services resources. They support the following operations: Create or update a web service Get a web service Patch a web service Delete a web service Get All Web Services in a Resource Group Get All Web Services in a Subscription Get Web Services Keys

The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview