mean

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: What does data-component-bound="true" mean? I've found this within a collapsed element but adjusting the value doesn't do anything. I've tried looking for the attribute "data-component-bound" on Stack Overflow and on Google but it points to a limited set of various jquery articles which are over my head and which take it for granted. [edit post some answers] Ahh, I see now that i should have been searching for "data-" to solve this. In so doing, I found this useful article which could help the next person: http://www.sitepoint.com/use-html5

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Can you give an example and other examples that show when and when not to use Lambda? My book gives me examples, but they're confusing. 回答1: Lambda, which originated from Lambda Calculus and (AFAIK) was first implemented in Lisp , is basically an anonymous function - a function which doesn't have a name, and is used in-line, in other words you can assign an identifier to a lambda function in a single expression as such: >>> addTwo = lambda x: x+2 >>> addTwo(2) 4 This assigns addTwo to the anonymous function, which accepts 1 argument x, and

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am trying to understand dplyr. I am splitting values in my data frame by group, bins and by sign, and I am trying to get a mean value for each group/bin/sign combination. I would like to output a data frame with these counts per each group/bin/sign combination, and the total numbers per each group. I think I have it but sometimes I get different values in base R compared to the output of ddplyr. Am I doing this correctly? It is also very contorted...is there a more direct way? library(ggplot2) df <- data.frame( id = sample(LETTERS[1:3],

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have sample data which I would like to compute a confidence interval for, assuming a normal distribution. I have found and installed the numpy and scipy packages and have gotten numpy to return a mean and standard deviation (numpy.mean(data) with data being a list). Any advice on getting a sample confidence interval would be much appreciated. 回答1: import numpy as np import scipy as sp import scipy.stats def mean_confidence_interval(data, confidence=0.95): a = 1.0*np.array(data) n = len(a) m, se = np.mean(a), scipy.stats.sem(a) h = se * sp

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm using Keras 1.0. My problem is identical to this one ( How to implement a Mean Pooling layer in Keras ), but the answer there does not seem to be sufficient for me. I want to implement this network: The following code does not work: sequence = Input(shape=(max_sent_len,), dtype='int32') embedded = Embedding(vocab_size, word_embedding_size)(sequence) lstm = LSTM(hidden_state_size, activation='sigmoid', inner_activation='hard_sigmoid', return_sequences=True)(embedded) pool = AveragePooling1D()(lstm) output = Dense(1, activation='sigmoid')

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: We use ConcurrentLinkedHashMap from https://code.google.com/p/concurrentlinkedhashmap/ in a project and I saw a note that it was integrated into Guava's MapMaker and CacheBuilder back in 2010. The info is very brief: Integration of the algorithmic techniques into MapMaker will be released in Google Guava r08 and is heavily based on this version. What does it mean exactly? The concurrentlinkedhashmap project seems to be still active. Was it just a one time integration to bootstrap the Guava cache package? Have the two projects evolved

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm curious what something like this means in CSS: background-color: #080808 \9; I know the hex color notation, of course, but I've never seen \9 used before. Even looking at the w3c, I'm not sure they define it either: color units 回答1: That's an old Internet Explorer hack \9 hack WORKS for: IE8 IE8 Standards, IE8 IE7 Standards, IE8 Quirks mode, IE7 Quirks, IE7 Standards (all varieties of IE8), IE6 So, in short, if you want an IE CSS hack that works in all flavors of IE, use the backslash-nine hack. source 回答2: 2 CSS Rules Specific to

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am using Pandas 0.19.1 on Python 3. I am getting a warning on these lines of code. I'm trying to get a list that contains all the row numbers where string Peter is present at column Unnamed: 5 . df = pd.read_excel(xls_path) myRows = df[df['Unnamed: 5'] == 'Peter'].index.tolist() Warning: "\Python36\lib\site-packages\pandas\core\ops.py:792: FutureWarning: elementwise comparison failed; returning scalar, but in the future will perform elementwise comparison result = getattr(x, name)(y)" What is this FutureWarning and should I ignore it since

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: What does "6k views" mean and how can I format this number in PHP? 回答1: k is the abbreviation for the Kilo prefix and means thousand. So 6k means six thousand. You can format a number in such a way with the following function using division: function format($number) { $prefixes = 'kMGTPEZY'; if ($number >= 1000) { for ($i=-1; $number>=1000; ++$i) { $number /= 1000; } return floor($number).$prefixes[$i]; } return $number; } Or using logarithm base 10 and exponentiation: function format($number) { $prefixes = 'kMGTPEZY'; if ($number >= 1000) {

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am using PCA on 100 images. My training data is 442368x100 double matrix. 442368 are features and 100 is number of images. Here is my code for finding the eigenvector. [ rows, cols] = size(training); maxVec=rows; maxVec=min(maxVec,rows); train_mean=mean(training,2); A=training-train_mean*ones(1,cols); A=A'*A; [evec,eval]=eig(A); [eval ind] = sort(-1*diag(eval)); evec= evec(:, ind(1:100)); Now evec is an eigenvector matrix of order of 100x100 double and now I have got 100 eigenvectors sorted. Questions: Now, if I want to transform my