I have an extra column in my train/test set for feature/X which is just 1, this is supposed to be the coefficient for Xo, which is never in the dataset. It is mentioned to be θo in the equation; Now coming to the intercept, as a model parameter, I always knew this to be θ0. So I am a little
Tag: regression
beta coefficients and p-value with l Logistic Regression in Python
I would like to perform a simple logistic regression (1 dependent, 1 independent variable) in python. All of the documentation I see about logistic regressions in python is for using it to develop a predictive model. I would like to use it more from the statistics side. How do I find the Odds ratio, p-value, and confidence interval of a
Is there a way to define a ‘heterogeneous’ kernel design to incorporate linear operators into the regression for GPflow (or GPytorch/GPy/…)?
I’m trying to perform a GP regression with linear operators as described in for example this paper by Särkkä: https://users.aalto.fi/~ssarkka/pub/spde.pdf In this example we can see from equation (8) that I need a different kernel function for the four covariance blocks (of training and test data) in the complete covariance matrix. This is definitely possible and valid, but I would
Polynomial fitting with equal number of data points and coefficients
I am currently experimenting with polynomial fitting using jupyter. The function below returns the least-square polynomial of degree m given the data points in xs with corresponding ys. Suppose I have the following six data points and fit a polynomial of degree 5: From my understanding, the resulting curve should pass through every single data point exactly (in fact, the
Including Scaling and PCA as parameter of GridSearchCV
I want to run a logistic regression using GridSearchCV, but I want to contrast the performance when Scaling and PCA is used, so I don’t want to use it in all cases. I basically would like to include PCA and Scaling as “parameters” of the GridSearchCV I am aware I can make a pipeline like this: The thing is that,
Plotly: How to add trendline to a bar chart?
I am trying to add trendline to bar plot which is plotted by plotly Code: Error: Here is the data How can I add a trendline successfully to this plot? Answer px.bar has no trendline method. Since you’re trying trendline=”ols” I’m guessing you’d like to create a linear trendline. And looking at your data, a linear trendline might just not
Plotly: How to change the format of the values for the x axis?
I need to create a graph from data with python. I took my inspiration from various website and I’ve made this script : This script allow to generate this graph : For the x axe, I would like to display the value like that 2020-01-01-06:00 but when I change my list like that : The error is : If I
Orthogonal regression fitting in scipy least squares method
The leastsq method in scipy lib fits a curve to some data. And this method implies that in this data Y values depends on some X argument. And calculates the minimal distance between curve and the data point in the Y axis (dy) But what if I need to calculate minimal distance in both axes (dy and dx) Is there