Merge pull request #12 from fhswf/oa/anomaly_detection

Refact: Anomaly Detection - Wrappers, Howtos, RTD #2

Author: detlefarend

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_001_anomalydetector_oneclasssvm.rst.off doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_001_oneclasssvm_pa_1d.rst

@@ -1,19 +1,19 @@
 .. _Howto_OA_AD_001:
-Howto OA-AD-001: Anomaly Detection using One Class SVM
-====================================================
+Howto OA-AD-001: Anomaly Detection using a One Class SVM (1D)
+=============================================================
 
 **Executable code**
 
-.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_001_anomalydetector_oneclasssvm.py
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_001_oneclasssvm_pa_1d.py
 	:language: python
 
 
 
 **Results**
 
 .. image::
-    images/howto_oa_ad_001_anomalydetector_oneclasssvm.png
-    :width: 1000px
+    images/howto_oa_ad_001_oneclasssvm_pa_1d.png
+    :width: 600px
 
 
 

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_002_anomalydetector_lof.rst doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_002_oneclasssvm_pa_2d.rst

@@ -1,19 +1,19 @@
 .. _Howto_OA_AD_002:
-Howto OA-AD-002: Anomaly Detection using Local Outlier Factor
-======================================================
+Howto OA-AD-002: Anomaly Detection using a One Class SVM (2D)
+=============================================================
 
 **Executable code**
 
-.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_002_anomalydetector_lof.py
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_002_oneclasssvm_pa_2d.py
 	:language: python
 
 
 
 **Results**
 
 .. image::
-    images/howto_oa_ad_002_anomalydetector_lof.png
-    :width: 1000px
+    images/howto_oa_ad_002_oneclasssvm_pa_2d.png
+    :width: 600px
 
 
 

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_003_anomalydetector_if.rst doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_003_oneclasssvm_pa_3d.rst

@@ -1,19 +1,19 @@
 .. _Howto_OA_AD_003:
-Howto OA-AD-003: Anomaly Detection using Isolation Forest
-================================================================
+Howto OA-AD-003: Anomaly Detection using a One Class SVM (3D)
+=============================================================
 
 **Executable code**
 
-.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_003_anomalydetector_if.py
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_003_oneclasssvm_pa_3d.py
 	:language: python
 
 
 
 **Results**
 
 .. image::
-    images/howto_oa_ad_003_anomalydetector_if.png
-    :width: 1000px
+    images/howto_oa_ad_003_oneclasssvm_pa_3d.png
+    :width: 600px
 
 
 

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_004_oneclasssvm_pa_nd.rst

@@ -0,0 +1,21 @@
+.. _Howto_OA_AD_004:
+Howto OA-AD-004: Anomaly Detection using a One Class SVM (nD)
+=============================================================
+
+**Executable code**
+
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_004_oneclasssvm_pa_nd.py
+	:language: python
+
+
+
+**Results**
+
+.. image::
+    images/howto_oa_ad_004_oneclasssvm_pa_nd.png
+    :width: 600px
+
+
+
+**Cross Reference**
+    - :ref:`API Reference: Wrappers for scikit-learn Anomaly Detectors <api_ad>`

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_005_oneclasssvm_paga_1d.rst

@@ -0,0 +1,21 @@
+.. _Howto_OA_AD_005:
+Howto OA-AD-005: Extended Anomaly Detection using a One Class SVM (1D)
+=============================================================
+
+**Executable code**
+
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_005_oneclasssvm_paga_1d.py
+	:language: python
+
+
+
+**Results**
+
+.. image::
+    images/howto_oa_ad_005_oneclasssvm_paga_1d.png
+    :width: 600px
+
+
+
+**Cross Reference**
+    - :ref:`API Reference: Wrappers for scikit-learn Anomaly Detectors <api_ad>`

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_021_lof_pa_1d.rst

@@ -0,0 +1,21 @@
+.. _Howto_OA_AD_021:
+Howto OA-AD-021: Anomaly Detection using Local Outlier Factor (1D)
+==================================================================
+
+**Executable code**
+
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_021_lof_pa_1d.py
+	:language: python
+
+
+
+**Results**
+
+.. image::
+    images/howto_oa_ad_021_lof_pa_1d.png
+    :width: 600px
+
+
+
+**Cross Reference**
+    - :ref:`API Reference: Wrappers for scikit-learn Anomaly Detectors <api_ad>`

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_022_lof_pa_2d.rst

@@ -0,0 +1,21 @@
+.. _Howto_OA_AD_022:
+Howto OA-AD-022: Anomaly Detection using Local Outlier Factor (2D)
+==================================================================
+
+**Executable code**
+
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_022_lof_pa_2d.py
+	:language: python
+
+
+
+**Results**
+
+.. image::
+    images/howto_oa_ad_022_lof_pa_2d.png
+    :width: 600px
+
+
+
+**Cross Reference**
+    - :ref:`API Reference: Wrappers for scikit-learn Anomaly Detectors <api_ad>`

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_023_lof_pa_3d.rst

@@ -0,0 +1,21 @@
+.. _Howto_OA_AD_023:
+Howto OA-AD-023: Anomaly Detection using Local Outlier Factor (3D)
+==================================================================
+
+**Executable code**
+
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_023_lof_pa_3d.py
+	:language: python
+
+
+
+**Results**
+
+.. image::
+    images/howto_oa_ad_023_lof_pa_3d.png
+    :width: 600px
+
+
+
+**Cross Reference**
+    - :ref:`API Reference: Wrappers for scikit-learn Anomaly Detectors <api_ad>`

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_024_lof_pa_nd.rst

@@ -0,0 +1,21 @@
+.. _Howto_OA_AD_024:
+Howto OA-AD-024: Anomaly Detection using Local Outlier Factor (nD)
+==================================================================
+
+**Executable code**
+
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_024_lof_pa_nd.py
+	:language: python
+
+
+
+**Results**
+
+.. image::
+    images/howto_oa_ad_024_lof_pa_nd.png
+    :width: 600px
+
+
+
+**Cross Reference**
+    - :ref:`API Reference: Wrappers for scikit-learn Anomaly Detectors <api_ad>`

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_041_if_pa_1d.rst

@@ -0,0 +1,21 @@
+.. _Howto_OA_AD_041:
+Howto OA-AD-041: Anomaly Detection using Isolation Forest (1D)
+==================================================================
+
+**Executable code**
+
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_041_if_pa_1d.py
+	:language: python
+
+
+
+**Results**
+
+.. image::
+    images/howto_oa_ad_041_if_pa_1d.png
+    :width: 600px
+
+
+
+**Cross Reference**
+    - :ref:`API Reference: Wrappers for scikit-learn Anomaly Detectors <api_ad>`

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_042_if_pa_2d.rst

@@ -0,0 +1,21 @@
+.. _Howto_OA_AD_042:
+Howto OA-AD-042: Anomaly Detection using Isolation Forest (2D)
+==================================================================
+
+**Executable code**
+
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_042_if_pa_2d.py
+	:language: python
+
+
+
+**Results**
+
+.. image::
+    images/howto_oa_ad_042_if_pa_2d.png
+    :width: 600px
+
+
+
+**Cross Reference**
+    - :ref:`API Reference: Wrappers for scikit-learn Anomaly Detectors <api_ad>`

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_043_if_pa_3d.rst

@@ -0,0 +1,21 @@
+.. _Howto_OA_AD_043:
+Howto OA-AD-043: Anomaly Detection using Isolation Forest (3D)
+==================================================================
+
+**Executable code**
+
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_043_if_pa_3d.py
+	:language: python
+
+
+
+**Results**
+
+.. image::
+    images/howto_oa_ad_043_if_pa_3d.png
+    :width: 600px
+
+
+
+**Cross Reference**
+    - :ref:`API Reference: Wrappers for scikit-learn Anomaly Detectors <api_ad>`

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/howto_oa_ad_044_if_pa_nd.rst

@@ -0,0 +1,21 @@
+.. _Howto_OA_AD_044:
+Howto OA-AD-044: Anomaly Detection using Isolation Forest (nD)
+==================================================================
+
+**Executable code**
+
+.. literalinclude:: ../../../../../test/howtos/oa/howto_oa_ad_044_if_pa_nd.py
+	:language: python
+
+
+
+**Results**
+
+.. image::
+    images/howto_oa_ad_044_if_pa_nd.png
+    :width: 600px
+
+
+
+**Cross Reference**
+    - :ref:`API Reference: Wrappers for scikit-learn Anomaly Detectors <api_ad>`

doc/rtd/content/01_example_pool/02_howtos_anomaly_detectors/images/howto_oa_ad_001_oneclasssvm_pa_1d.png

@@ -6,7 +6,7 @@ Wrappers for scikit-learn Anomaly Detectors
    :scale: 50%
 
 
-.. automodule:: mlpro_int_sklearn.wrappers.anomalydetectors
+.. automodule:: mlpro_int_sklearn.wrappers.anomalydetectors.basics
     :members:
     :undoc-members:
     :private-members: