All Questions
Tagged with distribution deep-learning
6 questions
4
votes
2
answers
61
views
Is it possible to train probabilistic model to return several distributions?
I have nonlinear data of function y(x), which is let's say parabolic. At some points of x there are several y's (look at the picture).
Is it possible to train a probabilistic model to return several ...
- 141
2
votes
1
answer
174
views
Does classification of a balanced data-set lead to any problem?
So I came across a bioinformatics paper, where I found a line which says:
One potential problem with using a training set with
equal numbers of positive and negative examples in cross-validation
...
- 1,161
2
votes
0
answers
124
views
How to estimate the marginal distribution of a class with respect to one predictor in a classification task?
I have a dataset with a binary dependent variable $y \in \{0,1\}$ and a set of predictors $x1,x2,..,t$. Here, $t$ is the time in minutes (in 24 hrs, that is $t \in (0,1440)$). I want to estimate the ...
- 21
1
vote
1
answer
38
views
A good machine learning approach for distribution of a whole?
So I had done with different classification, regression and clustering approaches for predictions of values etc. I was wondering if there is a machine learning approach for distribution of a whole ...
- 143
1
vote
0
answers
38
views
Strange behaviour around zero for predicted distributions from a deep learning regression model
Can somebody help make sense of these very odd distributions that I obtained from my trained deep learning regression model?
The model was trained with either MAE or MSE loss, which is what the ...
1
vote
2
answers
793
views
Label distribution over training, validation and test [closed]
I am wondering over whether the number of classes distributed over my training, validation, and test label affects the model.