Questions tagged [categorical-data]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
2
votes
0answers
37 views

CNN clasification model loss stuck at same value

I have CNN model to classify 2 classes. (Yes or No) I use categorical_crossentropy loss and softmax activation at the end. For input I use image with all 3 channels, for output I use One hot encoded ...
2
votes
0answers
21 views

Can two neural networks be better instead of one with a categorical feature?

Let's assume, that I have a neural network with few numerical features and one binary categorical feature. The network in this case is used for regression. I wonder if such a neural network can ...
0
votes
1answer
33 views

CNN output generally has more than one category in one-hot categorization?

I'm a bit of a CNN newbie, and I'm trying to train one to image classify pictures of pretty similar looking particles. I'm making the inputs and labels by hand from a set of 48x48 grayscale images, ...
0
votes
0answers
167 views

`BCEWithLogitsLoss` and training class dataset imbalances in Pytorch

A bit of clarification on pytorch's BCEWithLogitsLoss: I am using : ...
3
votes
2answers
60 views

Is a binary attribute type the same as binomial attribute type?

I am not sure if I can use the words binomial and binary and boolean as synonyms to describe a data attribute of a data set which has two values (yes or no). Are there any differences in the meaning ...
4
votes
2answers
209 views

How to model categorical variables / enums?

I am new to the field and I am trying to understand how is possible to use categorical variables / enums? Lets say we have a data set and 2 of its features are ...
2
votes
1answer
128 views

What's an appropriate algorithm for classification with categorical features?

My input data consists of a series of 8 integers. Each integer is a discrete token, rather than a relative numeric value (i.e. '1' and '2' are as distinct as are '1' and '100'). The output is a ...