Background: I am working on a problem similar to the nonlinear logistic regression described in the link [1] (my problem is more complicated, but link [1] is enough for the next sections of this po...

I am doing topic modeling using sklearn. While trying to get the log-likelihood from Grid Search output, I am getting the below error: AttributeError: 'str' object has no attribute 'parameters'...

I am using the 'bife' package to run the fixed effect logit model in R. However, I cannot compute any goodness-of-fit to measure the model's overall fit given the result I have below. I would appre...

I am trying to reproduce the mean squared error between the actual and estimated parameter 'tau' (for over a month :(). The estimated 'tau', namely 'tau_hat' is obtained through the maximum likelih...

I'd like to know what does the perplexity and score means in the LDA implementation of Scikit-learn. Those functions are obscure. At the very least, I need to know if those values increase or decre...

I want to implement the sentence-level log-likelihood as described in Collobert et al., p. 14. To compute transition scores, I could use CRF, but I don't know how to integrate it in tensorflow. ...