From 360cb75317aecaf6b9abcf24f0577afef75c464e Mon Sep 17 00:00:00 2001 From: wxt <3264117476@qq.com> Date: Mon, 6 Jan 2025 20:41:27 +0800 Subject: [PATCH] fix(test): replace np.float_ to np.float64 --- mlxtend/_base/_regressor.py | 2 +- mlxtend/_base/tests/test_classifier.py | 2 +- mlxtend/_base/tests/test_cluster.py | 2 +- mlxtend/classifier/multilayerperceptron.py | 2 +- mlxtend/classifier/softmax_regression.py | 2 +- mlxtend/math/linalg.py | 2 +- mlxtend/plotting/tests/test_decision_regions.py | 2 +- 7 files changed, 7 insertions(+), 7 deletions(-) diff --git a/mlxtend/_base/_regressor.py b/mlxtend/_base/_regressor.py index e3d0a1d96..1d3a5d600 100644 --- a/mlxtend/_base/_regressor.py +++ b/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): diff --git a/mlxtend/_base/tests/test_classifier.py b/mlxtend/_base/tests/test_classifier.py index f77f74d04..1bbac6d25 100644 --- a/mlxtend/_base/tests/test_classifier.py +++ b/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) diff --git a/mlxtend/_base/tests/test_cluster.py b/mlxtend/_base/tests/test_cluster.py index 6da1a9d68..54c2526d1 100644 --- a/mlxtend/_base/tests/test_cluster.py +++ b/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) diff --git a/mlxtend/classifier/multilayerperceptron.py b/mlxtend/classifier/multilayerperceptron.py index 770dab9aa..05416c3c0 100644 --- a/mlxtend/classifier/multilayerperceptron.py +++ b/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() diff --git a/mlxtend/classifier/softmax_regression.py b/mlxtend/classifier/softmax_regression.py index 56444e5f1..173154edc 100644 --- a/mlxtend/classifier/softmax_regression.py +++ b/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) diff --git a/mlxtend/math/linalg.py b/mlxtend/math/linalg.py index 02600f110..ece4c3c53 100644 --- a/mlxtend/math/linalg.py +++ b/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): diff --git a/mlxtend/plotting/tests/test_decision_regions.py b/mlxtend/plotting/tests/test_decision_regions.py index fba225509..aad63ff35 100644 --- a/mlxtend/plotting/tests/test_decision_regions.py +++ b/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, )