negative

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): 由 翻译 强力驱动 问题: I am trying to convert a NSInteger to a NSUInteger and I googled it and found no real answer. How would I do this? 回答1: NSInteger and NSUInteger are just typedefs for primitive integer types: #if __LP64__ || NS_BUILD_32_LIKE_64 typedef long NSInteger ; typedef unsigned long NSUInteger ; #else typedef int NSInteger ; typedef unsigned int NSUInteger ; #endif As such, you don't need to "convert" between them. A simple cast should be sufficient. Like: NSInteger myInt = 0 ; NSUInteger unsignedInt = ( NSUInteger ) myInt ; 回答2: Since this

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 doing a simple linear model. I have fire = load_data() regr = linear_model.LinearRegression() scores = cross_validation.cross_val_score(regr, fire.data, fire.target, cv=10, scoring='r2') print scores which yields [ 0.00000000e+00 0.00000000e+00 -8.27299054e+02 -5.80431382e+00 -1.04444147e-01 -1.19367785e+00 -1.24843536e+00 -3.39950443e-01 1.95018287e-02 -9.73940970e-02] How is this possible? When I do the same thing with the built in diabetes data, it works perfectly fine, but for my data, it returns these seemingly absurd results. Have

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 somebody tell me why Dijkstra's algorithm for single source shortest path assumes that the edges must be non-negative. I am talking about only edges not the negative weight cycles. 回答1: Recall that in Dijkstra's algorithm, once a vertex is marked as "closed" (and out of the open set) - the algorithm found the shortest path to it , and will never have to develop this node again - it assumes the path developed to this path is the shortest. But with negative weights - it might not be true. For example: A / \ / \ / \ 5 2 / \ B--(-10)-->C V=

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: After consulting the online caTools documentation and the error message itself, my SplitRatio was correctly as a number between 0 to 1 at 0.7. But no matter how I changed the number to different decimals, I was still thrown this error message. > split = sample.split(tweetsSparse$Negative, SplitRatio=0.7) Error in sample.split(tweetsSparse$Negative, SplitRatio = 0.7) : Error in sample.split: 'SplitRatio' parameter has to be i [0, 1] range or [1, length(Y)] range http://cran.r-project.org/web/packages/caTools/caTools.pdf 回答1: Short Story:

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: This question already has an answer here: Negative list index? [duplicate] 2 answers I have one record in a list >>> bob =['bob smith',42,30000,'software'] I am trying to get the last name 'smith' from this record I use the below command: >>> bob[0].split()[1] It provides me 'smith' But the book I am referring to use the below command: >>> bob[0].split()[-1] it also gives me same result 'smith' Why do indexes [1] and [-1] provide the same result? 回答1: Python lists can be "back indexed" using negative indices. -1 signifies the last element,

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: When I tried this in terminal >>> (-3.66/26.32)**0.2 I got the following error Traceback (most recent call last): File " ", line 1, in ValueError: negative number cannot be raised to a fractional power However, I am able to do this in two steps like, >>> (-3.66/26.32) -0.13905775075987842 >>> -0.13905775075987842 ** 0.2 -0.6739676327771593 Why this behaviour? What is the way to solve this in single line? 回答1: Raising to a power takes precedence over the unary minus sign. So you have -(0.13905775075987842 ** 0.2) and not (-0.13905775075987842

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 trying to create a char cnn using Keras. That type of cnn requires you to use Convolutional1D layer. But all the ways I try to add them to my model, it gives me errors at creation stage. Here is my code: def char_cnn(n_vocab, max_len, n_classes): conv_layers = [[256, 7, 3], [256, 7, 3], [256, 3, None], [256, 3, None], [256, 3, None], [256, 3, 3]] fully_layers = [1024, 1024] th = 1e-6 embedding_size = 128 inputs = Input(shape=(max_len,), name='sent_input', dtype='int64') # Embedding layer x = Embedding(n_vocab, embedding_size, input

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 a beginner in C . I have recently learned about 2's Complement and other ways to represent negative number and why 2's complement was the most appropriate one. What i want to ask is for example, int a = -3; unsigned int b = -3; //This is the interesting Part. Now , for the conversion of int type The standard says: 6.3.1.3 Signed and unsigned integers When a value with integer type is converted to another integer type other than _Bool, if the value can be represented by the new type, it is unchanged. Otherwise, if the new type is

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 having a problem with an image processing app I am developing (newbie here). I am trying to extract the value of specific pixels by using the getPixel() method. I am having a problem though. The number I get from this method is a huge negative number, something like -1298383. Is this normal? How can I fix it? Thanks. 回答1: I'm not an expert, but to me it looks like you are getting the hexadecimal value. Perhaps you want something more understandable like the value of each RGB layer. To unpack a pixel into its RGB values you should do

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 separate the negative & positive elements of an array in Javascript, such that afterwards first come all negative elements and then the positive elements, each in the original order. Example: Input array: [1,2,-3,-2,4] Output array: [-3,-2,1,2,4] Input array: [3,2,-1,0,-4,3,6,-7,-6] Output array: [-1,-4,-7,-6,3,2,0,3,6] I can do it using a temporary array with use of push() method, but how to do this without using a temporary array in that array only? 回答1: Use sort() var res = [1, 2, -3, -2, 4].sort(function(a, b) { return a -