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import numpy as np from torch.utils.data import DataLoader import torchvision from torchvision import datasets import os root = os.getcwd() # 获取根目录 # 阅读全文
摘要：
Sigmoid函数 import numpy as np import matplotlib.pyplot as plt def sigmoid(x): y = 1.0 / (1.0 + np.exp(-x)) return y plot_x = np.linspace(-10, 10, 100) 阅读全文
摘要：
import numpy as np import matplotlib.pyplot as plt from torch.utils.data import DataLoader from torchvision import datasets import os root = os.getcwd 阅读全文
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import numpy as np import matplotlib.pyplot as plt import operator # 给出训练数据以及对应的类别 def createDataSet(): group = np.array([[1.0,2.0],[1.2,0.1],[0.1,1.4 阅读全文
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import numpy as np from numpy import array, linalg class MLinearRegression: def __init__(self): self.coef_ = None #代表的是权重 self.interception_ = None #代 阅读全文
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import numpy as np '''一元（简单）线性回归，形如y=a*x+b''' class SimpleLinearRegression: def __init__(self): """初始化Simple linear regression模型""" self.a_ = None sel 阅读全文
