>>>torch.multinomial(weights,4)# ERROR! RuntimeError: invalid argument 2: invalid multinomial distribution (with replacement=False, not enough non-negative category to sample) at ../aten/src/TH/generic/THTensorRandom.cpp:320 >>>torch.multinomial(weights,4, replacement=True) tensor([ 2, 1, ...
使用np.random.choice()函数可以从数组中进行随机采样: importnumpyasnp# 从数组中随机选择5个元素,允许重复sample=np.random.choice(['a','b','c','d','e'],size=5,replace=True)print("Random sample with replacement from numpyarray.com:",sample)# 从数组中随机选择3个元素,不允许重复sample_no_re...
Python Copy Output: 这个例子从0到9的数组中随机选择了3个不重复的元素。 8.2 有放回采样 同样使用choice()函数,但设置replace=True: importnumpyasnp# 从数组中有放回地随机选择5个元素array=np.arange(10)sample=np.random.choice(array,size=5,replace=True)print("Sample with replacement from numpyarray....
with_replacement: unique = list(set(samples)) while len(samples) != len(unique): n_new = len(samples) - len(unique) samples = unique + self.sample(n_new).tolist() unique = list(set(samples)) return np.array(samples, dtype=int) # 定义一个名为 Dict 的字典子类 class Dict(dict):...
Generate a non-uniform random sample from np.arange(5) of size 3 without replacement: rng.choice(5, 3, replace=False, p=[0.1, 0, 0.3, 0.6, 0]) array([3, 2, 0]) Any of the above can be repeated with an arbitrary array-like instead of just integers. For instance: ...
replace: Whether to sample with replacement (True) or without replacement (False). p: The probabilities associated with each entry in the array. Example: python # Randomly pick 3 items from a list with replacementsample_with_replacement = np.random.choice([1,2,3,4,5], size=3, replace=Tr...
Generate a non-uniform random sample from np.arange(5) of size 3 without replacement: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 rng.choice(5, 3, replace=False, p=[0.1, 0, 0.3, 0.6, 0]) array([3, 2, 0]) Any of the above can be repeated with an arbitrary array-like in...
Generate a non-uniform random sample from np.arange(5) of size 3 without replacement: rng.choice(5, 3, replace=False, p=[0.1, 0, 0.3, 0.6, 0]) 1. array([3, 2, 0]) Any of the above can be repeated with an arbitrary array-like instead of just integers. For instance: ...
replace : boolean, optional 替换:布尔型,可选 Whether the sample is with or without replacement 样本是否有重复值(False,没有;True,有;默认:True) p : 1-D array-like, optional1维数组,可选The probabilities associated with each entry in a. If not given the sample assumes a uniform distribution...
replace : boolean, optional Whether the sample is with or without replacement p : 1-D array-like, optional The probabilities associated with each entry in a. If not given the sample assumes a uniform distribution over all entries in a....