components medimgage_embedding_finetune - Azure/azureml-assets GitHub Wiki
Component to finetune the model using the medical image data
Version: 0.0.3
View in Studio: https://ml.azure.com/registries/azureml/components/medimgage_embedding_finetune/version/0.0.3
| Name | Description | Type | Default | Optional | Enum |
|---|---|---|---|---|---|
| mlflow_model_path | Path to the MLflow model to be imported. | uri_folder | False | ||
| eval_image_tsv | Path to the evaluation image TSV file. | uri_file | False | ||
| eval_text_tsv | Path to the evaluation text TSV file. | uri_file | False | ||
| eval_train_image_tsv | Optional path used for the evaluation task. If not specified, will use the training path. | uri_file | True | ||
| eval_train_text_tsv | Optional path used for the evaluation task. If not specified, will use the training path. | uri_file | True | ||
| image_tsv | Path to the image TSV file. | uri_file | False | ||
| text_tsv | Path to the text TSV file. | uri_file | False | ||
| label_file | Path to the label file. | uri_file | False | ||
| conf_files | Path to the configuration files. | uri_file | False |
| Name | Description | Type |
|---|---|---|
| save_dir | Directory to save the model. | uri_folder |
| mlflow_model_folder | Directory to save the MLflow model. | uri_folder |
azureml://registries/azureml/environments/acft-medimageinsight-embedding/versions/1