Represents the category of a data function.
Inheritance Hierarchy
Spotfire.Dxp.Data.DataFunctionsDataFunctionCategory
Namespace: Spotfire.Dxp.Data.DataFunctions
Assembly: Spotfire.Dxp.Data (in Spotfire.Dxp.Data.dll) Version: 69.0.21424.2902 (69.0.21424.2902)
Syntax
C#
public sealed class DataFunctionCategory
The DataFunctionCategory type exposes the following members.
Properties
| Name | Description | |
|---|---|---|
 | DisplayName |
Gets the display name for the category.
|
| Name |
Gets the invariant name of the category.
|
Methods
| Name | Description | |
|---|---|---|
 | Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
Fields
| Name | Description | |
|---|---|---|
  | AnomalyDetection |
The Anomaly detection category, used e.g. for identifying items, events or observations which deviate significantly from the majority of the data.
|
| Audio |
The Audio category, used e.g. for processing and analyzing sound recognition.
|
| Clustering |
The Clustering category, used e.g. for grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups.
|
| Connection |
The Connection category, used e.g. for sharing data with external services or take action on external services.
|
| Custom |
The Custom category, used for user-supplied icons.
|
| DataAccess |
The Data access category, used e.g. for accessing data from external sources not accessible natively.
|
| Default |
The default category, used if no other category is selected.
|
| Evaluation |
The Evaluation category, used e.g. for monitoring and understanding performance and efficacy of a data model.
|
| Exploration |
The Exploration category, used e.g. for understanding what is in a data set and the characteristics of the data.
|
| Forecasting |
The Forecasting category, used e.g. for estimating the values of new data based on historical data.
|
| Prediction |
The Prediction category, used e.g. for making predictions on values or unknown events.
|
| Preparation |
The Preparation category, used e.g. for manipulating data to a form that can readily and accurately be analyzed.
|
| Similarities |
The Similarities category, used e.g. for measuring how data samples are related or close to each other.
|
| Spatial |
The Spatial category, used e.g. for processing and manipulating spatial data.
|
| Text |
The Text category, used e.g. for analyzing text data and transforming unstructured text into normalized, structured data.
|
| TimeSeries |
The Time series category, used e.g. for processing and analyzing time series data.
|
| Vision |
The Vision category, used e.g. for processing, analyzing and outputting images and data from image recognition.
|
Version Information
Supported in: 14.7, 14.6, 14.5, 14.4, 14.3, 14.2, 14.1, 14.0, 12.5, 12.4, 12.3, 12.2, 12.1
See Also