RTD 2.0.0 #708

fhswf · Mar 5, 2025 · 5b25cfb · 5b25cfb
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diff --git a/doc/rtd/content/03_machine_learning/mlpro_oa/sub/streams/01_overview.rst b/doc/rtd/content/03_machine_learning/mlpro_oa/sub/streams/01_overview.rst
@@ -16,7 +16,6 @@ Combines the functionalities of MLPro's stream task and ML model...
 
 **Cross reference**
 
-- BF: Stream Processing
-- Howto section
-- API
-- MLPro-Int-River
+- :ref:`Howtos MPro-OA-Streams <target_appendix1_OA_streams>`
+- :ref:`API reference: MLPro-OA-Streams <target_api_oa_streams>`
+- :ref:`Basics of data stream processing in MLPro <target_bf_streams>`
diff --git a/doc/rtd/content/03_machine_learning/mlpro_oa/sub/streams/20_cluster_analysis.rst b/doc/rtd/content/03_machine_learning/mlpro_oa/sub/streams/20_cluster_analysis.rst
@@ -16,7 +16,6 @@ Further descriptions coming soon...
 
 **Cross reference**
 
-- Selected open access papers
-- Howtos
-- API
-- MLPro-OA-River
+.. - Selected open access papers
+.. - Howtos
+- :ref:`API reference: MLPro-OA-Streams - Cluster analysis <target_api_oa_stream_tasks_clu>`
diff --git a/doc/rtd/content/03_machine_learning/mlpro_oa/sub/streams/30_anomaly_detection.rst b/doc/rtd/content/03_machine_learning/mlpro_oa/sub/streams/30_anomaly_detection.rst
@@ -31,6 +31,7 @@ Anomaly detection techniques can be broadly classified into two categories based
 
 **Cross reference**
 
-- Selected open access papers
-- Howtos
-- API
+.. - Selected open access papers
+.. - Howtos
+- :ref:`API reference: MLPro-OA-Streams - Anomaly detection <target_api_oa_stream_tasks_ad>`
+
diff --git a/doc/rtd/content/03_machine_learning/mlpro_oa/sub/streams/40_drift_detection.rst b/doc/rtd/content/03_machine_learning/mlpro_oa/sub/streams/40_drift_detection.rst
@@ -16,6 +16,6 @@ Further descriptions coming soon...
 
 **Cross reference**
 
-- Selected open access papers
-- Howtos
-- API
+.. - Selected open access papers
+.. - Howtos
+- :ref:`API reference: MLPro-OA-Streams - Drift detection <target_api_oa_stream_tasks_dd>`
diff --git a/doc/rtd/content/99_appendices/appendix3/sub/01_versions.rst b/doc/rtd/content/99_appendices/appendix3/sub/01_versions.rst
@@ -1,7 +1,7 @@
-Release Notes
+Release notes
 =============
 
-Release Notes on GitHub:
+Release notes on GitHub:
     - `Latest release <https://github.com/fhswf/MLPro/releases/latest>`_
     - `Release history <https://github.com/fhswf/MLPro/releases>`_
 

diff --git a/doc/rtd/content/99_appendices/appendix3/sub/02_publications.rst b/doc/rtd/content/99_appendices/appendix3/sub/02_publications.rst
@@ -11,15 +11,15 @@ Papers
 
 
 
-Code Ocean Capsules
+Code Ocean capsules
 -------------------
 
     - Detlef Arend, Steve Yuwono, Mochammad Rizky Diprasetya, Andreas Schwung: `"MLPro - Reinforcement Learning - Demo of Advanced Training with Stagnation Detection" <https://doi.org/10.24433/CO.9151382.v1>`_, Code Ocean, 2022, doi: 10.24433/CO.9151382.v1
     - Mochammad Rizky Diprasetya, Detlef Arend, Steve Yuwono, Andreas Schwung: `"MLPro - Reinforcement Learning - Demo of Training UR5 ROS Environment" <https://doi.org/10.24433/CO.6279818.v1>`_, Code Ocean, 2022, doi: 10.24433/CO.6279818.v1
 
 
 
-GitHub Repository
+GitHub repository
 -----------------
 
-    - Detlef Arend, Steve Yuwono, Mochammad Rizky Diprasetya, Andreas Schwung: `"MLPro - A Synoptic Framework for Standardized Machine Learning Tasks in Python" <https://doi.org/10.5281/zenodo.6653485>`_, Zenodo, 2021, doi: 10.5281/zenodo.6653485
+    - Detlef Arend, Steve Yuwono, Mochammad Rizky Diprasetya, Laxmikant Shrikant Baheti, Andreas Schwung: `"Github repository fhswf/MLPro" <https://doi.org/10.5281/zenodo.6653484>`_, Zenodo, 2025, doi: 10.5281/zenodo.6653484
diff --git a/doc/rtd/content/99_appendices/appendix3/sub/04_disclaimer.rst b/doc/rtd/content/99_appendices/appendix3/sub/04_disclaimer.rst
@@ -1,9 +1,9 @@
 Disclaimer
-================
+==========
 
 If you require any more information or have any questions about our project's disclaimer, please feel free to contact us by email at [email protected].
 
-Disclaimers for MLPro Usage
+Disclaimers for MLPro usage
 ---------------------------
 All the information on this website is published in good faith and for general information purpose only. 
 We do not make any warranties about the completeness, reliability and accuracy of this information.