pipeline

问题 I am currently trying to learn Spark Pipeline (Spark 1.6.0). I imported datasets (train and test) as oas.sql.DataFrame objects. After executing the following codes, the produced model is a oas.ml.tuning.CrossValidatorModel . You can use model.transform (test) to predict based on the test data in Spark. However, I would like to compare the weights that model used to predict with that from R. How to extract the weights of the predictors and intercept (if any) of model? The Scala codes are:

问题 When does routing take place in the ASP.NET MVC pipeline? ASP.NET Application Life Cycle Overview for IIS 7.0 Is it in step number 2 (Perform Url Mapping)? I intend to have a few routes that have an id "activate/{id}" "forgotpassword/{id}" I would like to be able to access the id early on in the pipline in step 4 - AuthenticateRequest. So that I can pass an authentication token through the id part of the url to my custom authentication module. So can I access the id property in my custom

问题 I want to connect to a remote running Docker container directly with ssh. Normally I can $ ssh -i privateKey user@host $ docker ps #which will list all running containers $ docker exec -it ***** bash deploy.sh # ***** is container id and this line run a deployment script But I need to run this script from a Jenkins pipeline where I have only one chance. After many trying, I come up with this $ ssh -tt -i ~/privateKey user@host docker exec -it $(docker ps | grep unique_text | cut -c1-10) /bin

问题 I'd like to be able to type quick, simple commands that manipulate files in-place. For example: # prettify an XML file format-xml foo | out-file foo This won't work because the pipeline is designed to be "greedy." The downstream cmdlet acquires a Write lock to the file as soon as the upstream cmdlet processes the first line of input, which stalls the upstream cmdlet from reading the rest of the file. There are many possible workarounds: write to temporary files, separate operations into

问题 I need to run a Hadoop jar job using Luigi from python. I searched and found examples of writing mapper and reducer in Luigi but nothing to directly run a Hadoop jar. I need to run a Hadoop jar compiled directly. How can I do it? 回答1: You need to use the luigi.contrib.hadoop_jar package (code). In particular, you need to extend HadoopJarJobTask. For example, like that: from luigi.contrib.hadoop_jar import HadoopJarJobTask from luigi.contrib.hdfs.target import HdfsTarget class

问题 I spotted an interesting statement in "PowerShell Notes for professionals" whitepaper - "In a pipeline series each function runs parallel to the others, like parallel threads" : Is that correct? if "yes", is there a technical documentation that supports this statement? 回答1: It's kinda true, but not really at all. What do I mean with that? First, let's get your documentation question out of the way. The following is from paragraph §3.13 of the PowerShell version 3.0 Language Specification: If

问题 Why does the script below come up with the following error? "Add-Member : Cannot process command because of one or more missing mandatory parameters: InputObject. + $obj = Add-Member <<<< -MemberType NoteProperty -Name ComputerName -Value $ComputerName + CategoryInfo : InvalidArgument: (:) [Add-Member], ParameterBindingException + FullyQualifiedErrorId : MissingMandatoryParameter,Microsoft.PowerShell.Commands.AddMemberCommand" Script # Receives the computer name and stores the required

问题 I am trying to design a pipeline for my project. I am loosely relying on the VTK pipeline concept. However, there are major differences. In my design the input-output connection type matching was done using variadic templates and recursive inheritance (similar to CRTP). This allows me to manually define which segments can be connected with which segments by passing a list of abstract base classes to the base filter/mapper classes. In itself, this does not cause any problems. I need to be able

问题 I am trying to Sum up Data through a Child Aggregation in Elasticsearch 2.1. With Pipelining i am trying to get the Child Aggregation Data summed up on the Parent Level of the Aggregation: { "query": { "match_all": {} }, "aggs": { "unit": { "terms": { "size": 500, "field": "unit_id" }, "aggs": { "total_active_ministers_by_unit": { "sum_bucket": { "buckets_path": "ministers>active_minister_by_ministry.value" } }, "ministers": { "children": { "type": "member_ministry" }, "aggs": { "active

问题 I'm trying to model a build concurrent pipeline in a single Bash script. I know I can use other tools, but at this point I'm doing it out of understanding Bash. Scheduling jobs parallel is easy, and waiting for them all at the end is easy. But I want to make it run faster by trigger Task A.2 immediately after Task A.1 & Task X. To make it even hard on myself, the code in Task A.1 & Task A.2 is related & sequential, so it would be nice if I could keep the code sequential as well. #!/usr/bin