angular $ http调用节点js route

时间:2016-08-02 12:26:27

标签: angularjs node.js

我需要从客户端项目执行angular $ http请求以在节点js(服务器项目)中路由,这个请求是长时间请求它应该花费10分钟或类似的东西。

问题是客户端调用服务器端,并且在Node.js过程完成之前3分钟后客户端停止等待应答。 我试图将角度$ http请求超时设置为1000000,但是没有工作。

这是我的代码:

# Beta regression
install.packages("betareg")
library("betareg")
result.betareg <-betareg(Y~A+B+A*B,data=my_data)
summary(result.betareg)

# Call:
#   betareg(formula = Y ~ A + B + A * B, data = my_data)
# 
# Standardized weighted residuals 2:
#   Min      1Q  Median      3Q     Max 
# -2.7073 -0.4227  0.0682  0.5574  2.1586 
# 
# Coefficients (mean model with logit link):
#   Estimate Std. Error z value Pr(>|z|)    
# (Intercept)   2.1666     0.2192   9.885  < 2e-16 ***
#   A             0.6471     0.3541   1.828   0.0676 .  
#   B            -1.8617     0.2583  -7.206 5.76e-13 ***
#   A:B          -4.2632     0.5156  -8.268  < 2e-16 ***
#   
#   Phi coefficients (precision model with identity link):
#   Estimate Std. Error z value Pr(>|z|)  
# (phi)    71.57      29.50   2.426   0.0153 *
#   ---
#   Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 
# 
# Type of estimator: ML (maximum likelihood)
# Log-likelihood: 24.56 on 5 Df
# Pseudo R-squared: 0.9626
# Number of iterations: 62 (BFGS) + 2 (Fisher scoring) 


# ----------------------------------------------------------


# Fractional response model
install.packages("frm")
library("frm")
frm(Y,cbind(A, B, AB=A*B),linkfrac="logit")


*** Fractional logit regression model ***

#   Estimate Std. Error t value Pr(>|t|)    
# INTERCEPT  2.197225   0.157135  13.983    0.000 ***
#   A          0.389465   0.530684   0.734    0.463    
#   B         -1.888120   0.159879 -11.810    0.000 ***
#   AB        -4.174668   0.555642  -7.513    0.000 ***
#   
#   Note: robust standard errors
# 
# Number of observations: 12 
# R-squared: 0.992 
有人可以帮忙吗? 感谢

0 个答案:

没有答案