pipeline

问题 I'm asking this question because I couldn't figure it out why nlxb fitting function does not work with the predict() function. I have been looking around to solve this but so far no luck:( I use dplyr to group data and use do to fit each group using nlxb from nlmrt package. Here is my attempt set.seed(12345) set =rep(rep(c("1","2","3","4"),each=21),times=1) time=rep(c(10,seq(100,900,100),seq(1000,10000,1000),20000),times=1) value <- replicate(1,c(replicate(4,sort(10^runif(21,-6,-3),decreasing

问题 I have an input pipeline similar to the one in the Convolutional Neural Network tutorial. My dataset is imbalanced and I want to use minority oversampling to try to deal with this. Ideally, I want to do this "online", i.e. I don't want to duplicate data samples on disk. Essentially, what I want to do is duplicate individual examples (with some probability) based on the label. I have been reading a bit on Control Flow in Tensorflow. And it seems tf.cond(pred, fn1, fn2) is the way to go. I am

问题 Problem: Program to read the lines from infinite stream starting from its end of file. #Solution: import time def tail(theFile): theFile.seek(0,2) # Go to the end of the file while True: line = theFile.readline() if not line: time.sleep(10) # Sleep briefly for 10sec continue yield line if __name__ == '__main__': fd = open('./file', 'r+') for line in tail(fd): print(line) readline() is a non-blocking read, with if check for every line. Question: It does not make sense for my program running to

问题 I'm trying to replicate, roughly, the dplyr package from R using Python/Pandas (as a learning exercise). Something I'm stuck on is the "piping" functionality. In R/dplyr, this is done using the pipe-operator %>% , where x %>% f(y) is equivalent to f(x, y) . If possible, I would like to replicate this using infix syntax (see here). To illustrate, consider the two functions below. import pandas as pd def select(df, *args): cols = [x for x in args] df = df[cols] return df def rename(df, **kwargs

问题 Modern CPUs have extensive pipelining, that is, they are loading necessary instructions and data long before they actually execute the instruction. Sometimes, the data loaded into the pipeline gets invalidated, and the pipeline must be cleared and reloaded with new data. The time it takes to refill the pipeline can be considerable, and cause a performance slowdown. If I call a function pointer in C, is the pipeline smart enough to realize that the pointer in the pipeline is a function pointer

问题 the Rails Guides says: If there are missing precompiled files in production you will get an Sprockets::Helpers::RailsHelper::AssetPaths::AssetNotPrecompiledError exception indicating the name of the missing file(s). I do execute: bundle exec rake assets:precompile however I don't get any error, and my javascript file is missing in the manifest.yml . Also it's not appearing in public/assets , so the problem is only on production. I have in the application.js //= require formalize/jquery

问题 I have written a simple PowerShell filter that pushes the current object down the pipeline if its date is between the specified begin and end date. The objects coming down the pipeline are always in ascending date order so as soon as the date exceeds the specified end date I know my work is done and I would like to let tell the pipeline that the upstream commands can abandon their work so that the pipeline can finish its work. I am reading some very large log files and I will frequently want

问题 I have written a simple PowerShell filter that pushes the current object down the pipeline if its date is between the specified begin and end date. The objects coming down the pipeline are always in ascending date order so as soon as the date exceeds the specified end date I know my work is done and I would like to let tell the pipeline that the upstream commands can abandon their work so that the pipeline can finish its work. I am reading some very large log files and I will frequently want

问题 I understand that this is a duplicate question which was asked here saving pipeline model in pyspark 1.6 but there is still no definite answer to it. Can anyone please suggest anything? joblib or cPickle doesn't work as it gives the same error which is given in the previous link. Is there a way to save the pipeline in PySpark 1.6 or there isn't? The questions that I saw regarding model persistence were mainly related to persisting ML models. Saving a pipeline is the altogether differnt issue.

问题 I understand that this is a duplicate question which was asked here saving pipeline model in pyspark 1.6 but there is still no definite answer to it. Can anyone please suggest anything? joblib or cPickle doesn't work as it gives the same error which is given in the previous link. Is there a way to save the pipeline in PySpark 1.6 or there isn't? The questions that I saw regarding model persistence were mainly related to persisting ML models. Saving a pipeline is the altogether differnt issue.