add multioutputregressor

Author: thierrymoudiki

CHANGES.md

@@ -1,3 +1,7 @@
+# version 0.49.0
+
+- add "Ridge2MultioutputRegressor", "MultiOutputMTS"  
+
 # version 0.39.1
 
 - Enhance `predict` method in `MTS` class to handle multiple quantiles (predict whole distribution, 

nnetsauce.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 2.4
 Name: nnetsauce
-Version: 0.47.0
+Version: 0.49.0
 Summary: Quasi-randomized (neural) networks
 Home-page: https://techtonique.github.io/nnetsauce/
 Download-URL: https://github.com/Techtonique/nnetsauce

nnetsauce.egg-info/SOURCES.txt

@@ -85,6 +85,7 @@ nnetsauce/ridge2/ridge2Classifier.py
 nnetsauce/ridge2/ridge2MTSJAX.py
 nnetsauce/ridge2/ridge2MultitaskClassifier.py
 nnetsauce/ridge2/ridge2Regressor.py
+nnetsauce/ridge2/ridge2multioutputregressor.py
 nnetsauce/rvfl/__init__.py
 nnetsauce/rvfl/bayesianrvfl2Regressor.py
 nnetsauce/rvfl/bayesianrvflRegressor.py

nnetsauce/__init__.py

@@ -43,6 +43,7 @@
 from .ridge2.ridge2Regressor import Ridge2Regressor
 from .ridge2.ridge2MultitaskClassifier import Ridge2MultitaskClassifier
 from .ridge2.ridge2MTSJAX import Ridge2Forecaster
+from .ridge2.ridge2multioutputregressor import Ridge2MultiOutputRegressor
 from .rvfl.bayesianrvflRegressor import BayesianRVFLRegressor
 from .rvfl.bayesianrvfl2Regressor import BayesianRVFL2Regressor
 from .sampling import SubSampler
@@ -96,6 +97,7 @@
     "ClassifierUpdater",
     "RidgeRegressor",
     "Ridge2Regressor",
+    "Ridge2MultiOutputRegressor",
     "Ridge2Classifier",
     "Ridge2MultitaskClassifier",
     "Ridge2Forecaster",

nnetsauce/ridge2/__init__.py

@@ -2,10 +2,12 @@
 from .ridge2Regressor import Ridge2Regressor
 from .ridge2MultitaskClassifier import Ridge2MultitaskClassifier
 from .ridge2MTSJAX import Ridge2Forecaster
+from .ridge2multioutputregressor import Ridge2MultiOutputRegressor
 
 __all__ = [
     "Ridge2Classifier",
     "Ridge2Regressor",
     "Ridge2MultitaskClassifier",
     "Ridge2Forecaster",
+    "Ridge2MultiOutputRegressor",
 ]