feat: consolidates API

src/linear/logistic_regression.rs

@@ -58,7 +58,7 @@ use std::marker::PhantomData;
 
 use serde::{Deserialize, Serialize};
 
-use crate::base::Predictor;
+use crate::api::{Predictor, SupervisedEstimator};
 use crate::error::Failed;
 use crate::linalg::Matrix;
 use crate::math::num::RealNumber;
@@ -218,6 +218,18 @@ impl<'a, T: RealNumber, M: Matrix<T>> ObjectiveFunction<T, M>
     }
 }
 
+impl<T: RealNumber, M: Matrix<T>> SupervisedEstimator<M, M::RowVector, LogisticRegressionParameters>
+    for LogisticRegression<T, M>
+{
+    fn fit(
+        x: &M,
+        y: &M::RowVector,
+        parameters: LogisticRegressionParameters,
+    ) -> Result<Self, Failed> {
+        LogisticRegression::fit(x, y, parameters)
+    }
+}
+
 impl<T: RealNumber, M: Matrix<T>> Predictor<M, M::RowVector> for LogisticRegression<T, M> {
     fn predict(&self, x: &M) -> Result<M::RowVector, Failed> {
         self.predict(x)