I am trying to recursively split my data using a stump tree based on the lmtree function from the partykitlibrary. The idea is the following: [1] for each varia
I need to attain the slope of a linear regression similar to the way the Excel function in the below link is implemented: http://office.microsoft.com/en-gb/ex
Before I get into the problem, I want to acknowledge that I have seen that there is a previous question that has been answered, and it gave me an idea for a wor
I use pandas and statsmodels to do linear regression. However, i can't find any possible way to read the results. the results are displayed but i need to do som
I am trying to train a model, but I am getting this error Input contains NaN, infinity or a value too large for dtype('float64'). Here's part of my code, how
i am running the below code and getting this error. Please help: Error: NameError: name 'predictions' is not defined Code: import pandas as pd import numpy a
I currently have a regression model that tries to predict a value based on 25 other ones. Here is the code I currently gave import tensorflow as tf import n