components model_prediction

Model Prediction

Description: Generate predictions on a given mlflow model for supported tasks.

Version: 0.0.9

Name	Description	Type	Default	Optional	Enum
task	Task type	string	tabular-classification		['tabular-classification', 'tabular-classification-multilabel', 'tabular-regression', 'text-classification', 'text-classification-multilabel', 'text-named-entity-recognition', 'text-summarization', 'question-answering', 'text-translation', 'text-generation', 'fill-mask', 'image-classification', 'image-classification-multilabel']
test_data	Test Data	uri_file		True
test_data_mltable	Test Data MLTable path	mltable		True
mlflow_model	Mlflow Model - registered model or output of a job with type mlflow_model in a pipeline	mlflow_model
label_column_name	Label column name in provided test dataset (Ex: label)	string		True
input_column_names	Input column names in provided test dataset (Ex : column1). Add comma delimited values in case of multiple input columns (Ex : column1,column2)	string		True
evaluation_config	Additional parameters required for evaluation.	uri_file		True
evaluation_config_params	JSON Serielized string of evaluation_config	string		True

ADDED TO ACCOMMODATE CURRENT DESIGNER

Name	Description	Type	Default	Optional	Enum
model_uri	[DEPRECATED] The location, in URI format, of the MLflow model, for example: - `runs:/<mlflow_run_id>/run-relative/path/to/model` - `models:/<model_name>/<model_version>` - `models:/<model_name>/<stage>`	string		True
device		string	auto		['auto', 'cpu', 'gpu']
batch_size		integer		True

Name	Description	Type
predictions		uri_file
predictions_mltable		mltable
prediction_probabilities		uri_file
prediction_probabilities_mltable		mltable
ground_truth		uri_file
ground_truth_mltable		mltable

azureml://registries/azureml/environments/model-evaluation/versions/8