Prepare the jsonl file and endpoint for batch inference component.

Version: 0.0.14

View in Studio: https://ml.azure.com/registries/azureml/components/batch_inference_preparer/version/0.0.14

Name	Description	Type	Default	Optional	Enum
input_dataset	Input jsonl dataset that contains prompt. For the performance test, this one will be neglected.	uri_folder		True
model_type	Type of model. Can be one of ('aoai', 'oss', 'vision_oss', 'claude')	string		True
batch_input_pattern	The string for the batch input pattern. The input should be the payload format with substitution for the key for the value put in the ###<key>. For example, one can use the following format for a llama text-gen model with a input dataset has prompt for the payload and _batch_request_metadata storing the corresponding ground truth. {"input_data": { "input_string": ["###"], "parameters": { "temperature": 0.6, "max_new_tokens": 100, "do_sample": true } }, "_batch_request_metadata": ###<_batch_request_metadata> }	string		False
label_column_name	The label column name.	string		True
additional_columns	Name(s) of additional column(s) that could be useful to compute metrics, separated by comma (",").	string		True
is_performance_test	If true, the performance test will be run.	boolean	False
endpoint_url	The endpoint name or url.	string		True
n_samples	The number of top samples send to endpoint.	integer		True

Name	Description	Type
formatted_data	Path to the folder where the payload will be stored.	mltable
ground_truth_metadata	Path to the folder where the ground truth metadata will be stored.	uri_folder

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