# Questions tagged [constraint]

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### Constrain loss function based on input variables

I'm doing a simple regression task using a neural network with two inputs (x1 and x2) and one output (...
1 vote
31 views

### How to model the additive components of a random variable whose value is known

I would like to model the variables $Y_1, Y_2, …, Y_n$, which satisfy the constraint $Y_1 + Y_2 + … + Y_n = Y$; where $Y$ (or at least an accurate estimate $\hat{Y}$ thereof) is readily available. ...
15 views

### Supervised classifier for nested interval data and ordinal classes

I'm having trouble formalizing the following classification problem: Let $x_i$ denote univariate (scalar), continuous, real data points Let $y_i \in \mathbb{N}$ be their corresponding labels Classes ...
62 views

### Constrained, Supervised Classification

I am playing around with a classification model, and I would like to know if there are any known methods to achieve what I am looking to do. The data looks something like this: Class id $x_1$ $x_2$ .....
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### Estimate variables which sum to zero? [closed]

Assume we have $y_i$ such that $\sum y_i=0$. Assume we have estimation machinery (some machine learning) which can estimate each $y_i$. So we can forget constraint and eastimate each of them, or we ...
1 vote
32 views

### How to generate two matrices with given (constrained to) column-wise and row-wise correlations in R? [closed]

I would like to generate two matrices X and Y, of the same dimensions (n x ...
1 vote
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32 views

### Fitting Sparsed Constrained regression with non-negative coefficients adding to 1

I see a similar problem in How do I fit a constrained regression in R so that coefficients total = 1? Specifically, my model is $Y_i= \pi_1 X_1+\pi_2 X_2 +...+ \pi_K X_K +\epsilon_i$ with $\pi_k \ge 0$...
410 views

### What is the difference between constrained and unconstrained models

I have a question what is the difference between constrained and unconstrained model or freely estimated model. I am trying to test for chi square difference between them to determine discriminant ...
1 vote