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Website title: Data Science Stack Exchange

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Error loading tidyverse in R Studio - No broom package

I'm getting numerous errors when trying to install packages, namely tidyverse and ggplot.

The errors are always in the form:

> library(tidyverse) Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : there is no package called ‘broom’ Error: package or namespace load failed for ‘tidyverse’

I have already tr...

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What is the level of measurement / name of the scale of list-features?

If you look at publications, you can have a dataset

  • title of publication
  • list of authors
  • number of pages
  • year of publication

    • The Level of measurement of "number of pages" is interval scale, the year of publication is interval scale as well,...

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    How to deal with models that consume and produce image data?

    I have input dataset in the form of images and output data is also an images insteade of being labeled data. So it looks neither classification problem nor regression problem. Input and output iamges may have some correlation between them and I want my model to learn that correlation. I am struggling to find the proper way of implementing this. Can anyone help with that?

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    CNN with Multi channel input or CNN with Multi instance learning?

    I have 500 Dicom images of medical scan of patients. These are 3 dimension scans , shape = [300 x 300 x 3]. From these I have extracted Front and side views. So, for each patient I have 2 images of shape [300 x 300].

    In order to build a classifier, Should stack these 2 views and train a CNN {[300 x 300 x 2] x 500} -> Multi channel input,

    Or should i pass e...

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    Will my validation loss eventually go down?

    I'm currently training a binary classifier that takes in 2 inputs, and outputs which object it thinks is "better."

    I have an absolutely massive dataset, about 2 trillion records, and I'm feeding these records into my network about 300k records at a time. Overfitting isn't really a concern as I'm only running one epoch, so the network is only really seeing new data ever...

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