fix: Refactor code for ml model - xgboost and model/modeller (#188)

* fix: add metrics and stats and base_model to Model class

* fix: remove RuleBaseModel from model_repository. Note: will move this persist code out of h1st later also

* fix: add functions to xgboost modeler as it not inherit from Modeler anymore

* fix: add functions to RandomForest and LogisticRegression modelers as it not inherit Modeler anymore

* fix: add xgboost package to pyproject

* refactor: remove oracle from h1st, move sgboost to model.ml

* refactor: create classifier and regression in xgboost, move model and modeler to the same file

h1st/model/xgboost/xgbclassifier.py → h1st/model/ml/xgboost/classifier.py

@@ -1,4 +1,5 @@
-from h1st.model.xgboost.model import XGBRegressionModel
+from h1st.model.ml.xgboost.regression import XGBRegressionModel, XGBRegressionModeler
+
 
 class XGBClassifierModel(XGBRegressionModel):
     name = 'XGBClassifierModel'
@@ -14,3 +15,10 @@ def apply_threshold(self, x):
     def set_threshold(self, threshold: float):
         self.stats['threshold'] = threshold
 
+
+class XGBClassifierModeler(XGBRegressionModeler):
+    model_class = XGBClassifierModel
+
+    def __init__(self, threshold=0.5, **kwargs):
+        super().__init__(**kwargs)
+        self.stats['threshold'] = float(threshold)