merlin.systems.dag.ops.unroll_features.UnrollFeatures

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

Bases: PipelineableInferenceOperator

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='')

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)	_summary_
export(path, input_schema, output_schema[, ...])	Write out a Triton model config directory
from_config(config, **kwargs)	Load operator and properties from Triton config
from_model_registry(registry, **kwargs)	Loads the InferenceOperator from the provided ModelRegistry.
from_path(path, **kwargs)	Loads the InferenceOperator from the path where it was exported after training.
load_artifacts(artifact_path)	Hook method that provides a way to load saved artifacts for the operator
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.
exportable_backends
is_subgraph
label
output_dtype
output_properties
output_tags
scalar_shape
supported_formats
supports	Returns what kind of data representation this operator supports

classmethod from_config(config, **kwargs) → UnrollFeatures

Load operator and properties from Triton config

export(path: str, input_schema: Schema, output_schema: Schema, params: Optional[dict] = None, node_id: Optional[int] = None, version: int = 1, backend: str = 'ensemble')

Write out a Triton model config directory

property dependencies

compute_output_schema(input_schema: Schema, col_selector: ColumnSelector, prev_output_schema: Optional[Schema] = None) → Schema

transform(col_selector: ColumnSelector, transformable: Transformable) → Transformable