ColumnInformation Class

Definition

Namespace:

Microsoft.ML.AutoML

Assembly:

Microsoft.ML.AutoML.dll

Package:

Microsoft.ML.AutoML v0.21.1

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 for example.

Constructors

ColumnInformation()

Properties

CategoricalColumnNames	The dataset columns that are categorical.
ExampleWeightColumnName	The dataset column to use for example weight.
GroupIdColumnName	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	The dataset columns that AutoML should ignore.
ImagePathColumnNames	The dataset columns that are image paths.
ItemIdColumnName	The dataset column to use as a item ID for computation.
LabelColumnName	The dataset column to use as the label.
NumericColumnNames	The dataset columns that are numeric.
SamplingKeyColumnName	The dataset column to use for grouping rows. If two examples share the same sampling key column name, they are guaranteed to appear in the same subset (train or test). This can be used to ensure no label leakage from the train to the test set. If null, no row grouping will be performed.
TextColumnNames	The dataset columns that are text.
UserIdColumnName	The dataset column to use as a user ID for computation.