transport

How to extract the distance and transport matrices from Scipy's wasserstein_distance?

由 戏子无情 提交于 2021-02-11 14:28:16
问题 The scipy.stats.wasserstein_distance function only returns the minimum distance (the solution) between two input distributions, p and q . But that distance is the result of the product of a distance matrix and an optimal transport matrix that must have been computed inside the same function. How can I extract the distance matrix and optimal transport matrix that correspond to the solution as 2nd and 3rd output arguments? 回答1: It does not seem that you can get the calculated transport matrix

1D Wasserstein distance in Python

由 痴心易碎 提交于 2020-12-13 05:25:50
问题 The formula below is a special case of the Wasserstein distance/optimal transport when the source and target distributions, x and y (also called marginal distributions) are 1D, that is, are vectors. where F^{-1} are inverse probability distribution functions of the cumulative distributions of the marginals u and v , derived from real data called x and y , both generated from the normal distribution: import numpy as np from numpy.random import randn import scipy.stats as ss n = 100 x = randn(n

1D Wasserstein distance in Python

由 久未见 提交于 2020-12-13 05:24:03
问题 The formula below is a special case of the Wasserstein distance/optimal transport when the source and target distributions, x and y (also called marginal distributions) are 1D, that is, are vectors. where F^{-1} are inverse probability distribution functions of the cumulative distributions of the marginals u and v , derived from real data called x and y , both generated from the normal distribution: import numpy as np from numpy.random import randn import scipy.stats as ss n = 100 x = randn(n

1D Wasserstein distance in Python

由 十年热恋 提交于 2020-12-13 05:23:13
问题 The formula below is a special case of the Wasserstein distance/optimal transport when the source and target distributions, x and y (also called marginal distributions) are 1D, that is, are vectors. where F^{-1} are inverse probability distribution functions of the cumulative distributions of the marginals u and v , derived from real data called x and y , both generated from the normal distribution: import numpy as np from numpy.random import randn import scipy.stats as ss n = 100 x = randn(n

Transport matrix is missing in the code behind scipy.stats.wasserstein_distance

由 断了今生、忘了曾经 提交于 2020-12-12 05:43:42
问题 Looking at the comments for the code behind scipy.stats.wasserstein_distance which invokes a function called _cdf_distance(p, u_values, v_values, u_weights=None, v_weights=None) , it says this function implements the following formula: l_p(u, v) = \left( \int_{-\infty}^{+\infty} |U-V|^p \right)^{1/p} However, this is not the Wasserstein distance as I know it since, although I see the distance matrix |U-V| in the above formula comment, the transport matrix is noticeably absent. The transport

Transport matrix is missing in the code behind scipy.stats.wasserstein_distance

由 落爺英雄遲暮 提交于 2020-12-12 05:40:58
问题 Looking at the comments for the code behind scipy.stats.wasserstein_distance which invokes a function called _cdf_distance(p, u_values, v_values, u_weights=None, v_weights=None) , it says this function implements the following formula: l_p(u, v) = \left( \int_{-\infty}^{+\infty} |U-V|^p \right)^{1/p} However, this is not the Wasserstein distance as I know it since, although I see the distance matrix |U-V| in the above formula comment, the transport matrix is noticeably absent. The transport

Add table rows to the transport request

由 萝らか妹 提交于 2020-06-08 15:01:43
问题 I have a problem with adding rows of table to the transport request in programming way. When i wrote down the transport request number i get the error: You cannot use request EAMK913244 the code that i used for transporting date is: form add_data_to_transaction . data lt_variable_changed type table of ztable_task2 . data: l_request type trkorr, lt_e071 type tr_objects, lt_e071k type tr_keys, lv_position type ddposition, lv_tabkey type trobj_name, ls_e071 type e071, ls_e071k type e071k.

关于iOS9中的App Transport Security相关说明及适配(更新于2016.7.1)

由 本秂侑毒 提交于 2020-04-07 12:31:57
2016.7.1 根据苹果官方文档的修改做出文档的调整，并加入对诊断ATS的命令行工具nscurl进行说明。 2015.8.19 解决在iOS9下基于ATS对HTTP的请求的说明及适配进行说明 iOS9中新增App Transport Security（简称ATS）特性, 主要使到原来请求的时候用到的HTTP，都转向TLS1.2协议进行传输。这也意味着所有的HTTP协议都强制使用了HTTPS协议进行传输。原文如下： App Transport Security App Transport Security (ATS) enforces best practices in the secure connections between an app and its back end. ATS prevents accidental disclosure, provides secure default behavior, and is easy to adopt; it is also on by default in iOS 9 and OS X v10.11. You should adopt ATS as soon as possible, regardless of whether you’re creating a new app or updating an

用grunt构建seajs项目遇到的各种坑

由 烂漫一生 提交于 2020-02-29 11:23:00
使用grunt构建seajs项目遇到的各种坑 [TOC] 使用grunt-cmd-transport转换为具名模块遇到的问题 1. 最新版本依赖不能完全提取 grunt-cmd-transport 最新版本0.5.1不能完全提取依赖，需要降级到0.4.1。 参考： https://github.com/spmjs/grunt-cmd-transport/issues/103 2. 转换后出新双反斜杠 同样需要降级到0.4.1才行。 参考： https://github.com/spmjs/grunt-cmd-transport/issues/96 http://blog.csdn.net/weizengxun/article/details/45153519 3. 会将深层次的依赖也提取到deps中 网上解决方法，不要配置 paths ，然后用 --force 强制执行。 但是如果所有require都用相对路径，也就是都以 . 开头，就不需要强制执行了。 transport 后所有依赖包括间接依赖都会提取到 deps 中。这样在 concat 的时候就不会出现模块重复或者漏掉模块的情况。 所以为了避免 concat 出现问题， require 一定要用相对路径， concat 设置 include 为 relative 参考： http://blog.csdn.net/kyfxbl

Kendo UI does not call create if a function is specified

由 浪子不回头ぞ 提交于 2020-01-01 19:37:15
问题 Using Kendo.web.js versions 2013.2.716 and 2012.3.1315, I am trying to use a function in my transport.create rather than calling a URL. What I find is that the function does not get called. Instead a default URL is called and the resulting HTML appears to cause an error in the bowels of kendo because it is expected to be JSON instead. I assume that this is some type of configuration error, but I can't figure out where the problem is. Here is a snippet of the code: var clientListDS = new kendo
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