Uses of Class
com.azure.ai.metricsadvisor.models.MetricFeedback
Packages that use MetricFeedback
Package
Description
Azure Metrics Advisor is a
cloud-based service provided by Microsoft Azure that is designed to help organizations monitor
and analyze metrics and time-series data from various sources.
Package containing the data models for MetricsAdvisor.
-
Uses of MetricFeedback in com.azure.ai.metricsadvisor
Methods in com.azure.ai.metricsadvisor that return MetricFeedbackModifier and TypeMethodDescriptionMetricsAdvisorClient.addFeedback(String metricId, MetricFeedback metricFeedback) Create a new metric feedback.MetricsAdvisorClient.getFeedback(String feedbackId) Get a metric feedback by its id.Methods in com.azure.ai.metricsadvisor that return types with arguments of type MetricFeedbackModifier and TypeMethodDescriptionMetricsAdvisorAsyncClient.addFeedback(String metricId, MetricFeedback metricFeedback) Create a new metric feedback.Mono<com.azure.core.http.rest.Response<MetricFeedback>> MetricsAdvisorAsyncClient.addFeedbackWithResponse(String metricId, MetricFeedback metricFeedback) Create a new metric feedback.com.azure.core.http.rest.Response<MetricFeedback> MetricsAdvisorClient.addFeedbackWithResponse(String metricId, MetricFeedback metricFeedback, com.azure.core.util.Context context) Create a new metric feedback.MetricsAdvisorAsyncClient.getFeedback(String feedbackId) Get a metric feedback by its id.Mono<com.azure.core.http.rest.Response<MetricFeedback>> MetricsAdvisorAsyncClient.getFeedbackWithResponse(String feedbackId) Get a metric feedback by its id.com.azure.core.http.rest.Response<MetricFeedback> MetricsAdvisorClient.getFeedbackWithResponse(String feedbackId, com.azure.core.util.Context context) Get a metric feedback by its id.com.azure.core.http.rest.PagedFlux<MetricFeedback> MetricsAdvisorAsyncClient.listFeedback(String metricId) List information of metrics feedback on the account for a metric Id.com.azure.core.http.rest.PagedFlux<MetricFeedback> MetricsAdvisorAsyncClient.listFeedback(String metricId, ListMetricFeedbackOptions options) List information of all metric feedbacks on the metrics advisor account for a metric Id.com.azure.core.http.rest.PagedIterable<MetricFeedback> MetricsAdvisorClient.listFeedback(String metricId) List information of all metric feedbacks on the metrics advisor account.com.azure.core.http.rest.PagedIterable<MetricFeedback> MetricsAdvisorClient.listFeedback(String metricId, ListMetricFeedbackOptions options, com.azure.core.util.Context context) List information of all metric feedbacks on the metrics advisor account.Methods in com.azure.ai.metricsadvisor with parameters of type MetricFeedbackModifier and TypeMethodDescriptionMetricsAdvisorAsyncClient.addFeedback(String metricId, MetricFeedback metricFeedback) Create a new metric feedback.MetricsAdvisorClient.addFeedback(String metricId, MetricFeedback metricFeedback) Create a new metric feedback.Mono<com.azure.core.http.rest.Response<MetricFeedback>> MetricsAdvisorAsyncClient.addFeedbackWithResponse(String metricId, MetricFeedback metricFeedback) Create a new metric feedback.com.azure.core.http.rest.Response<MetricFeedback> MetricsAdvisorClient.addFeedbackWithResponse(String metricId, MetricFeedback metricFeedback, com.azure.core.util.Context context) Create a new metric feedback. -
Uses of MetricFeedback in com.azure.ai.metricsadvisor.models
Subclasses of MetricFeedback in com.azure.ai.metricsadvisor.modelsModifier and TypeClassDescriptionfinal classA feedback to indicate a set of data points as Anomaly or NotAnomaly.final classThe Feedback that allows the user to mark the exact change point when the time series has a trend change.final classThe feedback that allows adding comments in plain text providing more context about the data.final classThe Feedback that helps the service in estimating period(seasonality) of the time series.Methods in com.azure.ai.metricsadvisor.models that return MetricFeedbackModifier and TypeMethodDescriptionMetricFeedback.setDimensionFilter(DimensionKey dimensionFilter) Set the series keys value for the feedback.