Remove min_data hyperparameter

bayesclass/bayesclass.py

@@ -324,11 +324,10 @@ class KDB(BayesBase):
 
 
 class AODE(BayesBase, BaseEnsemble):
-    def __init__(self, min_data=30, show_progress=False, random_state=None):
+    def __init__(self, show_progress=False, random_state=None):
         super().__init__(
             show_progress=show_progress, random_state=random_state
         )
-        self.min_data = min_data
 
     def _check_params(self, X, y, kwargs):
         expected_args = ["class_name", "features"]

bayesclass/tests/test_AODE.py

@@ -2,8 +2,6 @@ import pytest
 import numpy as np
 from sklearn.datasets import load_iris
 from sklearn.preprocessing import KBinsDiscretizer
-from matplotlib.testing.decorators import image_comparison
-from matplotlib.testing.conftest import mpl_test_settings
 
 
 from bayesclass import AODE
@@ -26,11 +24,9 @@ def test_AODE_default_hyperparameters(data, clf):
     # Test default values of hyperparameters
     assert not clf.show_progress
     assert clf.random_state is None
-    assert clf.min_data == 30
-    clf = AODE(show_progress=True, random_state=17, min_data=3)
+    clf = AODE(show_progress=True, random_state=17)
     assert clf.show_progress
     assert clf.random_state == 17
-    assert clf.min_data == 3
     clf.fit(*data)
     assert clf.class_name_ == "class"
     assert clf.features_ == [