From d518de6d088da05f29f1dd857f19a285b95c9ec3 Mon Sep 17 00:00:00 2001 From: Sherlock Xu <65327072+Sherlock113@users.noreply.github.com> Date: Thu, 26 Dec 2024 09:55:14 +0800 Subject: [PATCH] docs: Fix links (#5153) Fix links Signed-off-by: Sherlock113 --- docs/source/examples/mlflow.rst | 2 +- docs/source/examples/xgboost.rst | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/examples/mlflow.rst b/docs/source/examples/mlflow.rst index 8f7d4e85335..89625689479 100644 --- a/docs/source/examples/mlflow.rst +++ b/docs/source/examples/mlflow.rst @@ -41,7 +41,7 @@ This example uses the ``scikit-learn`` framework to train a classification model model.fit(X_train, Y_train) mlflow.sklearn.save_model(model, model_uri.resolve()) -Next, use the ``bentoml.mlflow.import_model`` API to save the model to the BentoML :doc:`/build-with-bentoml/model-loading-and-management`, a local directory to store and manage models. You can retrieve this model later in other services to run predictions. +Next, use the ``bentoml.mlflow.import_model`` API to save the model to the BentoML :doc:`Model Store `, a local directory to store and manage models. You can retrieve this model later in other services to run predictions. .. code-block:: bash diff --git a/docs/source/examples/xgboost.rst b/docs/source/examples/xgboost.rst index ecdbd1c7efe..9b0ce137fa3 100644 --- a/docs/source/examples/xgboost.rst +++ b/docs/source/examples/xgboost.rst @@ -49,7 +49,7 @@ This example uses the ``scikit-learn`` framework to load and preprocess the `bre # Train the model model = xgb.train(param, dt) -After training, use the ``bentoml.xgboost.save_model`` API to save the model to the BentoML :doc:`/build-with-bentoml/model-loading-and-management`, a local directory to store and manage models. You can retrieve this model later in other services to run predictions. +After training, use the ``bentoml.xgboost.save_model`` API to save the model to the BentoML :doc:`Model Store `, a local directory to store and manage models. You can retrieve this model later in other services to run predictions. .. code-block:: bash