Represents the category of a data function.

2.0

Hierarchy (view full)

Methods

  • Casts this object to the specified type. Throws error on failure.

    Type Parameters

    • T1

      The target type of the cast.

    • T2

      The type of the object to cast.

    Parameters

    Returns T1

  • Determines whether the specified object is equal to the current object.

    Parameters

    • obj: any

      The object to compare with the current object.

    Returns boolean

    true if the specified object is equal to the current object; otherwise, false.

  • Serves as the default hash function.

    Returns number

    A hash code for the current object.

  • Returns a string that represents the current object.

    Returns string

    A string that represents the current object.

  • Casts this object to the specified type. Returns null on failure.

    Type Parameters

    • T1

      The target type of the cast.

    • T2

      The type of the object to cast.

    Parameters

    Returns null | T1

  • Determines whether the specified object instances are considered equal.

    Parameters

    • objA: any

      The first object to compare.

    • objB: any

      The second object to compare.

    Returns boolean

    true if the objects are considered equal; otherwise, false. If both objA and objB are null, the method returns true.

Default capability

AnomalyDetection: DataFunctionCategory

The Anomaly detection category, used e.g. for identifying items, events or observations which deviate significantly from the majority of the data.

2.0

The Audio category, used e.g. for processing and analyzing sound recognition.

2.0

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.

2.0

The Connection category, used e.g. for sharing data with external services or take action on external services.

2.0

The Custom category, used for user-supplied icons.

2.0

The Data access category, used e.g. for accessing data from external sources not accessible natively.

2.0

The default category, used if no other category is selected.

2.0

The Evaluation category, used e.g. for monitoring and understanding performance and efficacy of a data model.

2.0

The Exploration category, used e.g. for understanding what is in a data set and the characteristics of the data.

2.0

The Forecasting category, used e.g. for estimating the values of new data based on historical data.

2.0

The Prediction category, used e.g. for making predictions on values or unknown events.

2.0

The Preparation category, used e.g. for manipulating data to a form that can readily and accurately be analyzed.

2.0

Similarities: DataFunctionCategory

The Similarities category, used e.g. for measuring how data samples are related or close to each other.

2.0

The Spatial category, used e.g. for processing and manipulating spatial data.

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The Text category, used e.g. for analyzing text data and transforming unstructured text into normalized, structured data.

2.0

The Vision category, used e.g. for processing, analyzing and outputting images and data from image recognition.

2.0

  • get DisplayName(): string
  • Gets the display name for the category.

    Returns string

    2.0

  • get Name(): string
  • Gets the invariant name of the category.

    Returns string

    2.0