fix(test): replace np.float_ to np.float64

mlxtend/_base/_regressor.py

@@ -16,7 +16,7 @@ def __init__(self):
         pass
 
     def _check_target_array(self, y, allowed=None):
-        if not isinstance(y[0], (float, np.float_)):
+        if not isinstance(y[0], (float, np.float64)):
             raise AttributeError("y must be a float array.\nFound %s" % y.dtype)
 
     def fit(self, X, y, init_params=True):

mlxtend/_base/tests/test_classifier.py

@@ -51,7 +51,7 @@ def test_check_labels_not_ok_1():
 
 
 def test_check_labels_integer_notok():
-    y = np.array([1.0, 2.0], dtype=np.float_)
+    y = np.array([1.0, 2.0], dtype=np.float64)
     cl = BlankClassifier(print_progress=0, random_seed=1)
     with pytest.raises(AttributeError) as excinfo:
         cl._check_target_array(y)

mlxtend/_base/tests/test_cluster.py

@@ -51,7 +51,7 @@ def test_check_labels_not_ok_1():
 
 
 def test_check_labels_integer_notok():
-    y = np.array([1.0, 2.0], dtype=np.float_)
+    y = np.array([1.0, 2.0], dtype=np.float64)
     cl = BlankClassifier(print_progress=0, random_seed=1)
     with pytest.raises(AttributeError) as excinfo:
         cl._check_target_array(y)

mlxtend/classifier/multilayerperceptron.py

@@ -143,7 +143,7 @@ def _fit(self, X, y, init_params=True):
                 prev_grad_b_out = np.zeros(shape=self.b_["out"].shape)
                 prev_grad_w_out = np.zeros(shape=self.w_["out"].shape)
 
-        y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float_)
+        y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float64)
 
         self.init_time_ = time()
 

mlxtend/classifier/softmax_regression.py

@@ -141,7 +141,7 @@ def _fit(self, X, y, init_params=True):
             )
             self.cost_ = []
 
-        y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float_)
+        y_enc = self._one_hot(y=y, n_labels=self.n_classes, dtype=np.float64)
 
         self.init_time_ = time()
         rgen = np.random.RandomState(self.random_seed)

mlxtend/math/linalg.py

@@ -45,7 +45,7 @@ def vectorspace_orthonormalization(ary, eps=1e-13):  # method='gram-schmidt',
     #   2c) Normalize if linearly independent,
     #       and set to zero otherwise
 
-    arr = ary.astype(np.float_).copy()
+    arr = ary.astype(np.float64).copy()
 
     for i in range(arr.shape[1]):
         for j in range(i):

mlxtend/plotting/tests/test_decision_regions.py

@@ -94,7 +94,7 @@ def test_y_int_ary():
         "Try passing the array as y.astype(np.int_)",
         plot_decision_regions,
         X[:, :2],
-        y.astype(np.float_),
+        y.astype(np.float64),
         sr,
     )