Each input algorithm/feature will need to be ranked for its similarity to the existing library of algorithms/features, and the result visualized.
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Hi, @harsht24
For finding correlation between data we need not to do it manually instead we can simply use the spearman’s correlation function from scipy library and compare our output with the each of the data-matrix columns.
Hope this helps you .
Thanks
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@ben.fulcher Since our output file contains only values , how we will tell which column is about which feature?
@ram Please try your best to answer your question before asking it. In this case @Salmankhancodes has already described this to you above, and pointed you to the figshare documentation which describes it. The info is in hctsa_features.csv.
@ben.fulcher Sir we have decent time interval between final proposal submission and announcement for selected students and as i had already submitted my final proposal so i thought i should discuss with you what will you suggest me to do during this period , any resources that i should go through or tools and frameworks that i should brush up or any other contribution to any related repositories or any other thing that you would like to suggest me so that it will us in the longer run during our coding period?
Thanks for the question @Salmankhancodes
- Go through and familiarize yourself with the open code repositories for CompEngine (frontend and backend) described above.
- Read the CompEngine preprint: https://arxiv.org/abs/1905.01042
- Any papers related to hctsa (listed in the README of the hctsa repo) would be useful background reading. This one puts the main points in context: https://arxiv.org/abs/1709.08055
- You could even try running a sample of the underlying algorithm with the steps described in the hctsa documentation (these steps are what we will try to automate in the online platform). https://hctsa-users.gitbook.io/hctsa-manual/analyzing_visualizing/feature-comparison
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@ben.fulcher Is it necessary for this project to use CompEngine ? Can’t we build whole new web portal from different technologies ?
Open to hearing any plan, but my assumption is that building on an open-source platform (CompEngine) that achieves the same thing (but for data instead of features) would be time-efficient.
why i am saying this is because marionette and backbone is quite outdated …
also I had followed the steps given in compengine frontend respo. but getting error how to set up successfully
@ben.fulcher it is going to be very difficult to work with marionette backbone bower etc cause they are quite outdated ,i get to face many problem even working with bower as it asked me to update the project to yarn. and even if we make now with these technologies they are not going to get a better support work in future . Instead we can start from scratch and take this project to a descent looking but perfectly working web-portal which will be future proof, for that we can work with something like django or node.js. I also wants to urge all participant of this project what do you think about this .?
Thanks
Thanks for the suggestions. I’m open to all suggestions, but it would be major downside to end up with two projects that have diverted (using inconsistent technologies), hindering future development. I would hope that these would be two halves of the same CompEngine project that share as much front/backend machinery as possible.
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Hi @malin , @ben.fulcher
I’m Imran Ali a 3rd year CSE student from NIT Durgapur, India.
After lots of search I found this project is very interesting and perfect fit for me. I’m working on python, data analysis and visualization and web development.
currently, I am looking forward to contributing to open source.
can i please tell me a example of two python library function, like these two functions are comparable, so that i can understand how the users code/function can be compared with existing functions/methods. Also how 'uniqueness score; can be calculated ?
Any suggestion will be helpful. Thank you.
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Thanks Imran and welcome to neurostars! Please first look through the responses I have made above in this topic—the resources you are looking for should be there (including much discussion of computing a uniqueness score). If you are still missing something, let me know.
Please examine the posts above
@Salmankhancodes You have mentioned in response to my query above that i need to setup the configuration setting in order to setup Compengine on my localmachine but i am not able to figure out which specific settings i need to configure. I am stuck on
Cannot GET/
Will you please help me.?
-
In ‘server/build/’ there is a file ‘front-end setting.js’ fill all the values required by the GLOBALS variable like apiendpoints, Maxpanel token, versions etc.
-
Then in ‘server-settings.json’ file by default the ‘documentRoot ‘ is set to “…/distribute”, so change it according to your folder structure.
**Make sure you have already installed all the dependencies
I hope this helps
Thanks
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It worked !!
Thanks…
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