New! Use Simple ML for Sheets to apply machine learning to the data in your Google Sheets
Read More
tfdf.py_tree.dataspec.categorical_vocab_iterator
Stay organized with collections
Save and categorize content based on your preferences.
Returns a categorical spec's vocabulary as a list.
tfdf.py_tree.dataspec.categorical_vocab_iterator(
categorical_spec: data_spec_pb2.CategoricalSpec
) -> Iterator[Tuple[bytes, data_spec_pb2.CategoricalSpec.VocabValue]]
The data spec currently encodes the vocabulary as a map from string to
VocabValue. If a key of this map is of type bytes, protobuf's python
implementation may fail to retrieve the values from this map. This is a helper
function to work around this limitation.
Note that this function is internal and may change or be removed at any time.
Args |
|---|
categorical_spec
|
A categorical spec.
|
Yields |
|---|
|
The vocabulary as (key, value) tuples.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-03-14 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-14 UTC."],[],[]]
View source on GitHub