nvtabular.ops.TagAsItemID

class nvtabular.ops.TagAsItemID(tags=None)[source]

Bases: nvtabular.ops.add_metadata.AddTags

__init__(tags=None)[source]

Methods

__init__([tags])

column_mapping(col_selector)

compute_column_schema(col_name, input_schema)

compute_input_schema(root_schema, …)

Given the schemas coming from upstream sources and a column selector for the input columns, returns a set of schemas for the input columns this operator will use :param root_schema: Base schema of the dataset before running any operators.

compute_output_schema(input_schema, col_selector)

Given a set of schemas and a column selector for the input columns, returns a set of schemas for the transformed columns this operator will produce :param input_schema: The schemas of the columns to apply this operator to :type input_schema: Schema :param col_selector: The column selector to apply to the input schema :type col_selector: ColumnSelector

compute_selector(input_schema, selector, …)

create_node(selector)

inference_initialize(col_selector, model_config)

Configures this operator for use in inference.

output_column_names(col_selector)

Given a set of columns names returns the names of the transformed columns this operator will produce :param columns: The columns to apply this operator to :type columns: list of str, or list of list of str

transform(col_selector, df)

Attributes

dependencies

Defines an optional list of column dependencies for this operator.

dynamic_dtypes

label

output_dtype

output_properties

output_tags

supports

Returns what kind of data representation this operator supports