Enum InputType

Namespace

AiDotNet.Enums

Assembly

AiDotNet.dll

Specifies the dimensionality of input data for machine learning models.

public enum InputType

Fields

OneDimensional = 0

Represents input data with a single value per data point.

For Beginners: One-dimensional data means each data point is represented by a single number.

Examples:

• A list of temperatures (each day has one temperature value)
• A list of prices (each item has one price)
• A list of ages (each person has one age)

Visualize it as points on a line or a simple list of numbers. In code, this is typically represented as a simple array or list: [1, 2, 3, 4, 5]

ThreeDimensional = 2

Represents input data with three values per data point.

For Beginners: Three-dimensional data means each data point has three values associated with it.

Examples:

• 3D coordinates in space (x, y, z)
• RGB color values (red, green, blue)
• Height, weight, and age of a person

Visualize it as points in 3D space or a table with three columns. In code, this might be represented as triplets: [(1,2,3), (4,5,6)] or as three parallel arrays: [1,4], [2,5], and [3,6]

TwoDimensional = 1

Represents input data with two values per data point.

For Beginners: Two-dimensional data means each data point has two values associated with it.

Examples:

• Coordinates on a map (latitude and longitude)
• Height and weight measurements
• Price and square footage of houses

Visualize it as points on a plane or a table with two columns. In code, this might be represented as pairs of values: [(1,2), (3,4), (5,6)] or as two parallel arrays: [1,3,5] and [2,4,6]

Remarks

For Beginners: Dimensionality refers to how many separate values are used to represent each data point. Think of dimensions like coordinates - a 1D point needs just one number (like a position on a line), a 2D point needs two numbers (like a position on a map), and a 3D point needs three numbers (like a position in a room).