from pathlib import Path import mlflow.sklearn from sklearn.datasets import load_iris from sklearn.neighbors import KNeighborsClassifier import bentoml iris = load_iris() X_train = iris.data[:, :4] Y_train = iris.target model_uri = Path("models", "IrisClf") model = KNeighborsClassifier() model.fit(X_train, Y_train) mlflow.sklearn.save_model(model, model_uri.resolve()) # model_uri can be any URI that refers to an MLflow model # Use local path for demostration bentoml.mlflow.import_model("iris", model_uri) how to read pickle file in this which generated when i am running k-means model with MLFlow