pipeline | 易学教程

How to extract best parameters from a CrossValidatorModel

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问题 I want to find the parameters of ParamGridBuilder that make the best model in CrossValidator in Spark 1.4.x, In Pipeline Example in Spark documentation, they add different parameters ( numFeatures , regParam ) by using ParamGridBuilder in the Pipeline. Then by the following line of code they make the best model: val cvModel = crossval.fit(training.toDF) Now, I want to know what are the parameters ( numFeatures , regParam ) from ParamGridBuilder that produces the best model. I already used the

Add file name as column in data factory pipeline destination

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问题 I am new to DF. i am loading bunch of csv files into a table and i would like to capture the name of the csv file as a new column in the destination table. Can someone please help how i can achieve this ? thanks in advance 回答1: If your destination is azure table storage, you could put your filename into partition key column. Otherwise, I think there is no native way to do this with ADF. You may need custom activity or stored procedure. 回答2: A post said the could use data bricks to handle this

R Pipelining functions

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问题 Is there a way to write pipelined functions in R where the result of one function passes immediately into the next? I'm coming from F# and really appreciated this ability but have not found how to do it in R. It should be simple but I can't find how. In F# it would look something like this: let complexFunction x = x |> square |> add 5 |> toString In this case the input would be squared, then have 5 added to it and then converted to a string. I'm wanting to be able to do something similar in R

How can you diff two pipelines in Bash?

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问题 How can you diff two pipelines without using temporary files in Bash? Say you have two command pipelines: foo | bar baz | quux And you want to find the diff in their outputs. One solution would obviously be to: foo | bar > /tmp/a baz | quux > /tmp/b diff /tmp/a /tmp/b Is it possible to do so without the use of temporary files in Bash? You can get rid of one temporary file by piping in one of the pipelines to diff: foo | bar > /tmp/a baz | quux | diff /tmp/a - But you can't pipe both pipelines

Netty那点事（三）Channel与Pipeline

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【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> Channel是理解和使用Netty的核心。Channel的涉及内容较多，这里我使用由浅入深的介绍方法。在这篇文章中，我们主要介绍Channel部分中Pipeline实现机制。为了避免枯燥，借用一下《盗梦空间》的“梦境”概念，希望大家喜欢。一层梦境：Channel实现概览在Netty里， Channel 是通讯的载体，而 ChannelHandler 负责Channel中的逻辑处理。那么 ChannelPipeline 是什么呢？我觉得可以理解为ChannelHandler的容器：一个Channel包含一个ChannelPipeline，所有ChannelHandler都会注册到ChannelPipeline中，并按顺序组织起来。在Netty中， ChannelEvent 是数据或者状态的载体，例如传输的数据对应 MessageEvent ，状态的改变对应 ChannelStateEvent 。当对Channel进行操作时，会产生一个ChannelEvent，并发送到 ChannelPipeline 。ChannelPipeline会选择一个ChannelHandler进行处理。这个ChannelHandler处理之后，可能会产生新的ChannelEvent，并流转到下一个ChannelHandler。

Stalling or bubble in MIPS

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问题 How many stalls do I need to execute the following instructions properly. I am a little confused with what I did, so I am here to see experts answers. lw $1,0($2); beq $1,$2,Label; Note that the check whether the branch will occur or not will be done in decoding stage. But the source register rs of beq which is $1 in this case will be updated after writeback stage of lw instruction. So do we need to forward new data from Memory in memory stage to Decoding stage of beq instruction. Here is the

Pararelization of sklearn Pipeline

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问题 I have a set of Pipelines and want to have multi-threaded architecture. My typical Pipeline is shown below: huber_pipe = Pipeline([ ("DATA_CLEANER", DataCleaner()), ("DATA_ENCODING", Encoder(encoder_name='code')), ("SCALE", Normalizer()), ("FEATURE_SELECTION", huber_feature_selector), ("MODELLING", huber_model) ]) Is it possible to run the steps of the pipeline in different threads or cores? 回答1: In general, no. If you look at the interface for sklearn stages, the methods are of the form: fit

pipeline stalling and bypassing examples

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问题 I am taking a course on Computer Architecture. I found this website from another University which has notes and videos which are helping me thus far: CS6810, Univ of Utah. I am working through these series of notes but am in need of some explanation on some of the example problems. I am currently looking at Problem 7, on page 17-18. The solutions are given in the notes on page 18 but I am somewhat unsure of how the professor is reaching the conclusions. He states on his class webpage that he

Pipeline Shell Script Permission Issue on .NET Build Attempt

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问题 I am trying to build an ASP.NET5 application via Bluemix Pipeline using a shell script to configure a runtime that supports .NET builds with DNVM. When building the application we need to get dependencies from Mono 4.0 (such as kestrel) but the latest Mono available via apt-get is 3.2. I tried to resolve this by adding the Mono deb repository in /etc/apt/sources.list so that an apt-get update would fetch the latest Mono package but due to a permission error we are not allowed to alter sources

How do I change - using for loops to call multiple functions - into - using a pipeline to call a class?

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问题 So the basic requirement is that, I get a dictionary of models from user, and a dictionary of their hyper parameters and give a report. Currently goal is for binary classification, but this can be extended later. This is what I am currently doing: import numpy as np import pandas as pd # import pandas_profiling as pp import matplotlib.pyplot as plt %matplotlib inline import seaborn as sns from sklearn.model_selection import train_test_split, cross_val_score, RandomizedSearchCV from sklearn