...1))) errArr[predictedVals == labelMat] = 0 weightedError = D.T*errArr #calc total error multiplied by D # print(split: dim %d, thresh %.2f, thresh i...
...和, 然后随机一个数, 看看落在哪个区间 import random def weighted_choice(weights): totals = [] running_total = 0 for w in weights: running_total += w totals.append(running_total) ...
...sponse time Load balancing 4种负载均衡策略 round robin random weighted round robin weighted random 3. Related Work 3.1 Garbage collection optimisation propose new concurrent and parallel algorith...
...f1‘, ‘f1_macro‘, ‘f1_micro‘, ‘f1_samples‘, ‘f1_weighted‘, ‘log_loss‘, ‘mean_absolute_error‘, ‘mean_squared_error‘, ‘median_absolute_error‘, ‘precision‘, ‘pre...
...应的树会变成一个单一链表因而不具备范性的运用情况 Weighted Quick Union Find 根据Quick-Union Find: public void union(int a, int b) { int idA = ids[a]; int idB = ids[b]; for(int i = 0; i < n; i++) ...
...个 caps1 到所有 caps2 的概率总和为一。第一轮计算 s 和 vweighted_predictions = tf.multiply(c, caps2_predicted, name=weighted_predictions)s = tf.reduce_sum(weighted_predictions, axis=1, ...
...ding Mini-batch gradient descent） 2.3 指数加权平均（Exponentially weighted averages） 2.4 理解指数加权平均（Understanding Exponentially weighted averages） 2.5 指数加权平均的偏差修正（Bias correction in exponentially weighted a...
... = qID; 也就是说p所在的树将作为q的子树 4 Improvement 4.1 weighted增加sz[]数组来存储一颗树里面objects的个数当要链接(p,q)时，需要比较sz[i]和sz[j]的大小（假设i,j分别是他们的root） 4.2 path compression只需要增添一个语句 id[i] = id[id[i]] ...
...需要统计模型来判断。对时序数据，有两种重要的模型：weighted moving average 和autoregressive模型，后者可归入ARIMA model (autoregressive integrated moving average model)。比起LSTM，ARIMA很弱。但在低维度数据（1-5维）上，ARIMA非常健壮。虽然它...
...iven a nested list of integers, return the sum of all integers in the list weighted by their depth. Each element is either an integer, or a list -- whose elements may also be integers or other list...
...iven a nested list of integers, return the sum of all integers in the list weighted by their depth. Each element is either an integer, or a list -- whose elements may also be integers or other list...
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