transform_config() got an unexpected keyword argument 'input_filter'

dear collaborators, I am new in AWS Step Functions Data Science SDK for Amazon SageMaker. I'm working with the example " machine_learning_workflow_abalone" of the sagemaker examples, and when execute transform_step appears the next error:

TypeError: transform_config() got an unexpected keyword argument 'input_filter'

the code of cell is:

`transform_step = steps.TransformStep(
'Transform Input Dataset',
transformer=xgb.transformer(
instance_count=1,
instance_type='ml.m5.large'
),
job_name=execution_input['JobName'],
model_name=execution_input['ModelName'],
data=test_s3_file,
content_type='text/libsvm'
)`
I need help please to resolve this problem
Best regards

Start by reproducing the failure in the machine_learning_workflow_abalone example, focusing on the shown TransformStep and the transform_config() call that rejects input_filter. Trace how the example's TransformStep arguments reach transform_config(); done means the example runs past transform_step without the unexpected-keyword TypeError.

Written by the indexing model from the issue text.