⇅ Category Features
Macro Rendering Error¶
_File_: `configuration/features/category_features.md`
_ValidationError_: 1 validation error for CategoryDistributionOutputPreprocessingConfig
Value error, vocab must be specified for category_distribution output feature. [type=value_error, input_value={}, input_type=dict]
For further information visit https://errors.pydantic.dev/2.13/v/value_error
```
Traceback (most recent call last):
File "/opt/hostedtoolcache/Python/3.12.13/x64/lib/python3.12/site-packages/mkdocs_macros/plugin.py", line 703, in render
return md_template.render(page_variables)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/hostedtoolcache/Python/3.12.13/x64/lib/python3.12/site-packages/jinja2/environment.py", line 1295, in render
self.environment.handle_exception()
File "/opt/hostedtoolcache/Python/3.12.13/x64/lib/python3.12/site-packages/jinja2/environment.py", line 942, in handle_exception
raise rewrite_traceback_stack(source=source)
File "", line 316, in top-level template code
File "/opt/hostedtoolcache/Python/3.12.13/x64/lib/python3.12/site-packages/jinja2/runtime.py", line 784, in _invoke
rv = self._func(*arguments)
^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/ludwig-docs/ludwig-docs/docs/macros/includes.md", line 12, in template
{% for line in schema_class_to_yaml(schema, sort_by_impact=sort_by_impact, exclude=exclude, updates=updates).split("\n") %}
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/ludwig-docs/ludwig-docs/main.py", line 216, in schema_class_to_yaml
for k, v in cls(updates).to_dict().items()
^^^^^^^^^^^^^^
File "/opt/hostedtoolcache/Python/3.12.13/x64/lib/python3.12/site-packages/pydantic/main.py", line 263, in init
validated_self = self.pydantic_validator.validate_python(data, self_instance=self)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
pydantic_core._pydantic_core.ValidationError: 1 validation error for CategoryDistributionOutputPreprocessingConfig
Value error, vocab must be specified for category_distribution output feature. [type=value_error, input_value={}, input_type=dict]
For further information visit https://errors.pydantic.dev/2.13/v/value_error
```