出错: array(1,2) array([1,2]) np.array([1,2],[1,2]) 类似cut分组 np.linspace(2.0, 3.0, num=5) =R= cut(2:3,5) #类似cut功能,在2,3之间分成5份 matrix矩阵组 ma=arange(10).reshape(5,2) #matrix(rep(1:10),nrow=5,ncol=2) 按行或列生成一定规则的 ones((2,3), dtype=int...
np.linalg.norm(x, ord=None, axis=None, keepdims=False):需要注意ord的值表示的是范数的类型。 np.atleast_1d():改变维度,将输入直接视为1维,比如np.atleast_1d(1)的输出就是1 np.expand_dims():用于扩展数组的维度,要深入了解还是得去查一下。 然后再看看优化器的实现,以最常用的随机梯度下降为例:...
Svd分解:np.linalg.svd(A) 两个array之间的距离:np.linalg.norm(a1-a2) 五.概率分布 产生二项分布的随机数:np.random.binomial(n,p,size=…),其中n,p,size分别是每轮试验次数、概率、轮数 产生超几何分布随机数:np.random.hypergeometric(n1,n2,n,size=…),其中参数意义分别是物件1总量、物件2总量、每次...
# 定义训练模型并获取混淆矩阵的函数def get_confusion_matrix(X_train, X_test, y_train, y_test):model = KNeighborsClassifier(n_neighbors=5)model.fit(X_train, y_train)y_pred = model.predict(X_test)return confusion_matr...
bits(k, /) method of random.Random instancegetrandbits(k) -> x. Generates an int with k random bits.No. 8 :Help on method getstate in module random:getstate() method of random.Random instanceReturn internal state; can be passed to setstate() later.No. 9 :Help on method lognormv...
# 计算正态分布的PDF和CDFpdf = stats.norm.pdf(x=np.linspace(-3,3,100), loc=mu, scale=sigma)cdf = stats.norm.cdf(x=np.linspace(-3,3,100), loc=mu, scale=sigma) # 输出PDF和CDF图像importmatplotlib.pyplotaspltplt.plot(np.linspace(-3,3,100), pdf)plt....
normreturn x / (K.sqrt(K.mean(K.square(x))) + 1e-5)def deprocess_image(x):# normalize tensor: center on 0., ensure std is 0.1x -= x.mean()x /= (x.std() + 1e-5)x *= 0.1# clip to [0, 1]x += 0.5x = np.clip(x, 0, 1)# convert to RGB arrayx *= 255if ...
return norm(I, shouldBeIdentity) < 1e-6; } // Calculates rotation matrix to euler angles // The result is the same as MATLAB except the order // of the euler angles ( x and z are swapped ). Vec3f rotationMatrixToEulerAngles(Mat &R) ...
from scipy.stats import norm def mann_kendall_test(x): """ Mann-Kendall trend test for a given data sequence x. Args: x: A list or numpy array of data sequence. Returns: trend: The calculated trend (positive, negative or no trend). ...
fun: array([-7.94582338]) hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64> jac: array([-1.42108547e-06]) message: ...'CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL' nfev: 12 nit: 5 status: 0 success: True x: array([-1.30644013]) ...