{ "predict_numeric_fields": { "description": "Predict the value of a numeric field using a weighted combination of the values of other fields in that event.", "title": "Predict Numeric Fields" }, "predict_categorical_fields": { "description": "Predict the value of a categorical field using the values of other fields in that event.", "title": "Predict Categorical Fields" }, "detect_numeric_outliers": { "description": "Find values that differ significantly from previous values.", "title": "Detect Numeric Outliers" }, "detect_categorical_outliers": { "description": "Find events that contain unusual combinations of values.", "title": "Detect Categorical Outliers" }, "forecast_time_series": { "description": "Forecast future values given past values of a metric (numeric time series).", "title": "Forecast Time Series" }, "cluster_numeric_events": { "description": "Partition events with multiple numeric fields into clusters.", "title": "Cluster Numeric Events" }, "smart_forecast": { "description": "Forecast future numeric time series data using a step-by-step guided workflow with the option to bring in data from different sources and account for calendar specific \"special days\" such as holidays, company-specific event days.", "title": "Smart Forecasting" }, "smart_outlier_detection": { "description": "Detect numeric outliers using a step-by-step guided workflow to leverage a density algorithm and segment data in advance of your anomaly search.", "title": "Smart Outlier Detection" }, "smart_clustering": { "description": "Cluster numeric events using a step-by-step guided workflow.", "title": "Smart Clustering" }, "smart_prediction": { "description": "Predict the value of a categorical or numeric field based on one or more other fields in the event using a step-by-step guided workflow.", "title": "Smart Prediction" } }