docs: Clean up examples folder (#5154)

* Clean up examples folder Signed-off-by: Sherlock113 <sherlockxu07@gmail.com> * fix: move quickstart to test fixtures Signed-off-by: Frost Ming <me@frostming.com> --------- Signed-off-by: Sherlock113 <sherlockxu07@gmail.com> Signed-off-by: Frost Ming <me@frostming.com> Co-authored-by: Frost Ming <me@frostming.com>
bentoml · Dec 26, 2024 · eaf5f7e · eaf5f7e
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diff --git a/docs/source/examples/mlflow.rst b/docs/source/examples/mlflow.rst
@@ -4,7 +4,7 @@ MLflow
 
 `MLflow <https://mlflow.org/>`_ is an open-source platform, purpose-built to assist machine learning practitioners and teams in handling the complexities of the machine learning process. MLflow focuses on the full lifecycle for machine learning projects, ensuring that each phase is manageable, traceable, and reproducible.
 
-This document explains how to serve and deploy an MLflow model with BentoML. You can find all the source code in `examples/mlflow <https://github.com/bentoml/BentoML/tree/main/examples/mlflow>`_.
+This document explains how to serve and deploy an MLflow model with BentoML. You can find all the source code `here <https://github.com/bentoml/BentoMLflow>`_.
 
 Prerequisites
 -------------

diff --git a/docs/source/examples/overview.rst b/docs/source/examples/overview.rst
@@ -92,9 +92,8 @@ Custom models
 
 Serve custom models with BentoML:
 
-- `MLflow <https://github.com/bentoml/BentoML/tree/main/examples/mlflow>`_
-- `XGBoost <https://github.com/bentoml/BentoML/tree/main/examples/xgboost>`_
-- `scikit-learn <https://github.com/bentoml/BentoML/tree/main/examples/sk-learn>`_
+- `MLflow <https://github.com/bentoml/BentoMLflow>`_
+- `XGBoost <https://github.com/bentoml/BentoXGBoost>`_
 
 Others
 ------

diff --git a/docs/source/examples/xgboost.rst b/docs/source/examples/xgboost.rst
@@ -4,7 +4,7 @@ XGBoost
 
 `XGBoost <https://xgboost.readthedocs.io/en/stable/>`_ is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework.
 
-This document explains how to serve and deploy an XGBoost model for predicting breast cancer with BentoML. You can find all the source code in `examples/xgboost <https://github.com/bentoml/BentoML/tree/main/examples/xgboost>`_.
+This document explains how to serve and deploy an XGBoost model for predicting breast cancer with BentoML. You can find all the source code `here <https://github.com/bentoml/BentoXGBoost>`_.
 
 Prerequisites
 -------------

diff --git a/examples/.gitignore b/examples/.gitignore
diff --git a/examples/gradio/README.md b/examples/gradio/README.md
diff --git a/examples/gradio/bentofile.yaml b/examples/gradio/bentofile.yaml
diff --git a/examples/gradio/requirements.txt b/examples/gradio/requirements.txt
diff --git a/examples/gradio/service.py b/examples/gradio/service.py
diff --git a/examples/mlflow/bentofile.yaml b/examples/mlflow/bentofile.yaml
diff --git a/examples/mlflow/requirements.txt b/examples/mlflow/requirements.txt
diff --git a/examples/mlflow/save_model.py b/examples/mlflow/save_model.py
diff --git a/examples/mlflow/service.py b/examples/mlflow/service.py
diff --git a/examples/mlflow/test.py b/examples/mlflow/test.py
diff --git a/examples/sk-learn/.bentoignore b/examples/sk-learn/.bentoignore
diff --git a/examples/sk-learn/benchmark/README.md b/examples/sk-learn/benchmark/README.md
diff --git a/examples/sk-learn/benchmark/locustfile.py b/examples/sk-learn/benchmark/locustfile.py
diff --git a/examples/sk-learn/bentofile.yaml b/examples/sk-learn/bentofile.yaml
diff --git a/examples/sk-learn/client.py b/examples/sk-learn/client.py
diff --git a/examples/sk-learn/prepare_model.py b/examples/sk-learn/prepare_model.py