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Showing posts with the label Regression

Pytorch Does Not Converge When Approximating Square Function With Linear Model

I'm trying to learn some PyTorch and am referencing this discussion here The author provides a … Read more Pytorch Does Not Converge When Approximating Square Function With Linear Model

How To Extend Predicted Value?

This is the sample code which I got from this link import pandas as pd from sklearn import linear_m… Read more How To Extend Predicted Value?

L1 Norm Instead Of L2 Norm For Cost Function In Regression Model

I was wondering if there's a function in Python that would do the same job as scipy.linalg.lsts… Read more L1 Norm Instead Of L2 Norm For Cost Function In Regression Model

Statsmodels -- Weights In Robust Linear Regression

I was looking at the robust linear regression in statsmodels and I couldn't find a way to speci… Read more Statsmodels -- Weights In Robust Linear Regression

Pandas: Trouble Implementing Panel Ols

I'm having a little bit of a difficult time understanding how to implement the Panel OLS in pan… Read more Pandas: Trouble Implementing Panel Ols

Gaussian Process Regression: Standard Deviation Meaning

In the following code about the Gaussian Process Regression (GPR): from sklearn.datasets import mak… Read more Gaussian Process Regression: Standard Deviation Meaning

Linear Regression Using Scipy.odr Fails (not Full Rank At Solution)

so was trying a linear regression with scipy.odr. However, it failed miserably. scipy.odr has worke… Read more Linear Regression Using Scipy.odr Fails (not Full Rank At Solution)

How To Get R-squared For Robust Regression (rlm) In Statsmodels?

When it comes to measuring goodness of fit - R-Squared seems to be a commonly understood (and accep… Read more How To Get R-squared For Robust Regression (rlm) In Statsmodels?