merlin.systems.dag.ops.softmax_sampling.SoftmaxSampling#

class merlin.systems.dag.ops.softmax_sampling.SoftmaxSampling(relevance_col, temperature=20.0, topk=10, _input_col=None)[source]#

Given inputs of ID and prediction, this operator will sort all inputs in descending order.

__init__(relevance_col, temperature=20.0, topk=10, _input_col=None)[source]#

Create a SoftmaxSampling Pipelineable Inference Operator.

Parameters:

relevance_col (string) – The column to judge sorting order with.
temperature (float, optional) – Value which will be used to effect the weights used in sorting, by default 20.0
topk (int, optional) – The max number of results you wish to receive as output, by default 10
_input_col (_type_, optional) – The column whose values will be sorted, by default None.

Methods

`__init__`(relevance_col[, temperature, topk, ...])	Create a SoftmaxSampling Pipelineable Inference Operator.
`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, ...)
`compute_output_schema`(input_schema, col_selector)	Describe the operator's outputs
`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)	Transform the dataframe by applying this operator to the set of input columns
`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

compute_input_schema(root_schema: Schema, parents_schema: Schema, deps_schema: Schema, selector: ColumnSelector) → Schema[source]#

compute_output_schema(input_schema: Schema, col_selector: ColumnSelector, prev_output_schema: Optional[Schema] = None) → Schema[source]#: Describe the operator’s outputs

transform(col_selector: ColumnSelector, transformable: Transformable) → Transformable[source]#: Transform the dataframe by applying this operator to the set of input columns

merlin.systems.dag.ops.softmax_sampling.SoftmaxSampling