merlin.systems.dag.ops.unroll_features.UnrollFeatures#

class merlin.systems.dag.ops.unroll_features.UnrollFeatures(item_id_col, unroll_cols, unrolled_prefix='')[source]#

Bases: Operator

This operator takes a target column and joins the “unroll” columns to the target. This helps when broadcasting a series of user features to a set of items.

__init__(item_id_col, unroll_cols, unrolled_prefix='')[source]#

Methods

__init__(item_id_col, unroll_cols[, ...])

column_mapping(col_selector)

Compute which output columns depend on which input columns

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

compute_output_schema(input_schema, col_selector)

compute_selector(input_schema, selector[, ...])

Provides a hook method for sub-classes to override to implement custom column selection logic.

create_node(selector)

export(path, input_schema, output_schema, ...)

Export the class object as a config and all related files to the user defined path.

load_artifacts([artifact_path])

Load artifacts from disk required for operator function.

output_column_names(col_selector)

Given a set of columns names returns the names of the transformed columns this operator will produce

save_artifacts([artifact_path])

Save artifacts required to be reload operator state from disk

transform(col_selector, transformable)

validate_schemas(parents_schema, ...[, ...])

Provides a hook method that sub-classes can override to implement schema validation logic.

Attributes

dependencies

dynamic_dtypes

export_name

Provides a clear common english identifier for this operator.

is_subgraph

label

output_dtype

output_properties

output_tags

supported_formats

supports

Returns what kind of data representation this operator supports

property dependencies#
compute_output_schema(input_schema: Schema, col_selector: ColumnSelector, prev_output_schema: Optional[Schema] = None) Schema[source]#
transform(col_selector: ColumnSelector, transformable: Transformable) Transformable[source]#
property supported_formats: DataFormats#