Column

A Column defines the structure and properties of a data column that will be used in a Fiddler model. It includes information about the column’s data type, value ranges, categorical values, binning configuration, and other metadata necessary for proper data validation and monitoring. This class is used within ModelSchema to define the complete structure of data that a model expects to receive.

Examples

Creating a numeric column:

column = Column(
    name="age",
    data_type=DataType.INTEGER,
    min=0,
    max=120
)

Creating a categorical column:

column = Column(
    name="category",
    data_type=DataType.CATEGORY,
    categories=["A", "B", "C"]
)

Creating a vector column:

column = Column(
    name="embedding",
    data_type=DataType.VECTOR,
    n_dimensions=128
)

Attributes

str

Column name provided by the customer

DataType

Data type of the column

int | float | None

Min value of integer/float column

int | float | None

Max value of integer/float column

List | None

List of unique values of a categorical column

List[int | float] | None

Bins of integer/float column

List | None

Replace the list of given values to NULL if found in the events data

int | None

Number of dimensions of a vector column

Fiddler Python Client SDK

Fiddler Evals SDK

Fiddler OTel SDK

Fiddler LangGraph SDK

Fiddler LangChain SDK

Fiddler Google ADK SDK

Fiddler Strands Agent SDK

Fiddler OTel JS SDK

Fiddler LangGraph JS SDK

Fiddler LangChain JS SDK

Examples

Attributes

​Examples

​Attributes

Examples

Attributes