ColumnInformation Class

Definition

Namespace:

Microsoft.ML.AutoML

Assembly:

Microsoft.ML.AutoML.dll

Package:

Microsoft.ML.AutoML v0.22.0-preview.24522.7

Source:

ColumnInference.cs

Provides information about the columns in a dataset.

public sealed class ColumnInformation

type ColumnInformation = class

Public NotInheritable Class ColumnInformation

Inheritance

Object

ColumnInformation

Remarks

Contains information about the purpose of each column in the dataset. For instance, it enumerates the dataset columns that AutoML should treat as categorical, the columns AutoML should ignore, which column is the label, etc.

ColumnInformation can be fed to the AutoML API when running an experiment. See Execute(IDataView, ColumnInformation, IEstimator<ITransformer>, IProgress<RunDetail<TMetrics>>), for example.

Constructors

ColumnInformation()

Properties

CategoricalColumnNames	Gets or sets the dataset columns that are categorical.
ExampleWeightColumnName	Gets or sets the dataset column to use for example weight.
GroupIdColumnName	Gets or sets the dataset column to use as a group ID for computation in a Ranking Task. If a SamplingKeyColumnName is provided, then it should be the same as this column.
IgnoredColumnNames	Gets the dataset columns that AutoML should ignore.
ImagePathColumnNames	Gets the dataset columns that are image paths.
ItemIdColumnName	Gets or sets the dataset column to use as a item ID for computation.
LabelColumnName	Gets or sets the dataset column to use as the label.
NumericColumnNames	Gets the dataset columns that are numeric.
SamplingKeyColumnName	Gets or sets the dataset column to use for grouping rows.
TextColumnNames	Gets the dataset columns that are text.
UserIdColumnName	Gets or sets the dataset column to use as a user ID for computation.