From 87e71b7657b62ea140cd665d9752445827b16f50 Mon Sep 17 00:00:00 2001 From: Kotmin <70173732+Kotmin@users.noreply.github.com> Date: Tue, 4 Oct 2022 23:15:05 +0200 Subject: [PATCH 1/3] Style sigmoid function in harmony with pep guideness --- neural_network/back_propagation_neural_network.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/neural_network/back_propagation_neural_network.py b/neural_network/back_propagation_neural_network.py index 43e796e77be3..c2c2d62f30e7 100644 --- a/neural_network/back_propagation_neural_network.py +++ b/neural_network/back_propagation_neural_network.py @@ -18,10 +18,12 @@ """ import numpy as np + + from matplotlib import pyplot as plt -def sigmoid(x): +def sigmoid(x) -> float: return 1 / (1 + np.exp(-1 * x)) From ff52e69d884a91295aa9bf0ff7d6354548df9c4a Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 4 Oct 2022 21:22:06 +0000 Subject: [PATCH 2/3] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- neural_network/back_propagation_neural_network.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/neural_network/back_propagation_neural_network.py b/neural_network/back_propagation_neural_network.py index c2c2d62f30e7..9cdd88cb145c 100644 --- a/neural_network/back_propagation_neural_network.py +++ b/neural_network/back_propagation_neural_network.py @@ -18,8 +18,6 @@ """ import numpy as np - - from matplotlib import pyplot as plt From ce6166db28c7fc78ecd04de262ec93b50a99d832 Mon Sep 17 00:00:00 2001 From: Tianyi Zheng Date: Mon, 4 Sep 2023 13:34:24 -0400 Subject: [PATCH 3/3] Apply suggestions from code review --- neural_network/back_propagation_neural_network.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/neural_network/back_propagation_neural_network.py b/neural_network/back_propagation_neural_network.py index 9cdd88cb145c..c358f6dd801b 100644 --- a/neural_network/back_propagation_neural_network.py +++ b/neural_network/back_propagation_neural_network.py @@ -21,8 +21,8 @@ from matplotlib import pyplot as plt -def sigmoid(x) -> float: - return 1 / (1 + np.exp(-1 * x)) +def sigmoid(x: np.ndarray) -> np.ndarray: + return 1 / (1 + np.exp(-x)) class DenseLayer: