merlin.systems.dag.ops.unroll_features.UnrollFeatures#
- class merlin.systems.dag.ops.unroll_features.UnrollFeatures(item_id_col, unroll_cols, unrolled_prefix='')[source]#
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.
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
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 [source]#
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')[source]#
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 [source]#
- transform(col_selector: ColumnSelector, transformable: Transformable) Transformable [source]#