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StartMatchingForAnalysisInputBody.md

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StartMatchingForAnalysisInputBody

Properties

Name Type Description Notes
filters MatchFilters Narrow the candidate pool. [optional]
min_similarity float Similarity floor as a percentage. Defaults to 90. [optional]
no_cache bool By default a completed matching run for the same request is reused (response status=COMPLETED, no new run). Set true to force a fresh run. [optional]
results_per_function int Max matches returned per source function. Defaults to 1. [optional]

Example

from revengai.models.start_matching_for_analysis_input_body import StartMatchingForAnalysisInputBody

# TODO update the JSON string below
json = "{}"
# create an instance of StartMatchingForAnalysisInputBody from a JSON string
start_matching_for_analysis_input_body_instance = StartMatchingForAnalysisInputBody.from_json(json)
# print the JSON string representation of the object
print(StartMatchingForAnalysisInputBody.to_json())

# convert the object into a dict
start_matching_for_analysis_input_body_dict = start_matching_for_analysis_input_body_instance.to_dict()
# create an instance of StartMatchingForAnalysisInputBody from a dict
start_matching_for_analysis_input_body_from_dict = StartMatchingForAnalysisInputBody.from_dict(start_matching_for_analysis_input_body_dict)

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