d3js timeline with vertical grid lines to represent months

I am working on a timeline application — how do I modify it to showcase vertical gridlines to represent the month — maybe just like current day – highlight current month as a light blue block. current fiddle https://jsfiddle.net/g89kuoe1/ var currentLine = main .append(‘line’) .attr(‘class’, ‘currentLine’) .attr(‘clip-path’, ‘url(#clip)’); currentLine .attr(‘x1’, x1(now)) .attr(‘x2’, x1(now)) .attr(‘y1’, 0)…

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FFmpeg os.system commands not working but work in Terminal

I’ve downloaded ffmpeg through the website and ran some commands through the terminal to confirm its install. when running the command ‘ffmpeg’ in the Terminal it returns ffmpeg version 4.2.2 Copyright (c) 2000-2019 the FFmpeg developers built with Apple LLVM version 10.0.0 (clang-1000.11.45.5) if i type into Python import os os.system (‘ffmpeg’) it returns os.system…

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Data conversion error after upgrade from Grails 2.4.4 to Grails 3.0.17

I am upgrading my application from Grails 2.4.4 to Grails 3.0.17. after I run the run-app command, I am receiving these errors: Data conversion error converting “SATURATION”; SQL statement: select this_.id as id1_23_0_, this_.version as version2_23_0_, this_.created_by as created_3_23_0_, this_.created_date as created_4_23_0_, this_.modified_by as modified5_23_0_, this_.modified_date as modified6_23_0_, this_.name as name7_23_0_ from measurement_type this_ where…

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Is it possible to create the self-signed ssl certificate which will avoid the “challenge” in the application code?

Background I have a third-party framework that does some network requests to the URL which I provide to it. The format of requests is: https://10.0.2.2:8000/api/…. Since the schema is https I constantly receive the error message from the third party lib: The certificate for this server is invalid. You might be connecting to a server…

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The proper approach for CV on NN and generalization performance

I am following the Matlab implementation of CV with NN. The following code taken from the function function FFNN=jFFNN(feat,label,kfold,Hiddens,Maxepochs) explains training by cross validation (CV) aprroach on fisheriris dataset feat and label given below: fold=cvpartition(label,’kfold’,kfold); % Pre pred2=[]; ytest2=[]; Afold=zeros(kfold,1); % Neural network start for i=1:kfold % Call index of training & testing sets trainIdx=fold.training(i);…

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