nvtabular.ops.LogOp

class nvtabular.ops.LogOp[source]

Bases: nvtabular.ops.operator.Operator

This operator calculates the log of continuous columns. Note that to handle the common case of zerofilling null values, this calculates log(1+x) instead of just log(x).

Example usage:

# Use LogOp to define NVTabular workflow
cont_features = cont_names >> nvt.ops.LogOp() >> ...
processor = nvt.Workflow(cont_features)
__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()

Initialize self.

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)

Transform the dataframe by applying this operator to the set of input columns

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

transform(col_selector: merlin.dag.selector.ColumnSelector, df: pandas.core.frame.DataFrame)pandas.core.frame.DataFrame[source]

Transform the dataframe by applying this operator to the set of input columns

Parameters
  • columns (list of str or list of list of str) – The columns to apply this operator to

  • df (Dataframe) – A pandas or cudf dataframe that this operator will work on

Returns

Returns a transformed dataframe for this operator

Return type

DataFrame

property output_tags
property output_dtype