column_bucketized: Construct a Bucketized Column

In tfestimators: Interface to 'TensorFlow' Estimators

Description

Construct a bucketized column, representing discretized dense input. Buckets include the left boundary, and exclude the right boundary.

Usage

column_bucketized(source_column, boundaries)

Arguments

source_column	A one-dimensional dense column, as generated by column_numeric().
boundaries	A sorted list or list of floats specifying the boundaries.

Value

A bucketized column.

Raises

• ValueError: If source_column is not a numeric column, or if it is not one-dimensional.

• ValueError: If boundaries is not a sorted list or list.

See Also

Other feature column constructors: column_categorical_weighted(), column_categorical_with_hash_bucket(), column_categorical_with_identity(), column_categorical_with_vocabulary_file(), column_categorical_with_vocabulary_list(), column_crossed(), column_embedding(), column_numeric(), input_layer()

tfestimators documentation built on Aug. 10, 2021, 1:06 a.m.