This might be a very niche Problem. I have a modified Dataset – based on the 4th downloadlink with 105572 elements – and want to know how I can model it in the best way. I had to use Arena Software from Rockwell Software. I got the following as a result for a distribution: “816 + LOGN(198, 439)” I…
Tag: distribution
Simulating expectation of continuous random variable
Currently I want to generate some samples to get expectation & variance of it. Given the probability density function: f(x) = {2x, 0 <= x <= 1; 0 otherwise} I already found that E(X) = 2/3, Var(X) = 1/18, my detail solution is from here https://math.stackexchange.com/questions/4430163/simulating-exp…
Seaborn plot displot with hue and dual y-scale (twinx)
I am trying to plot the output from the predict of a ML model, there are the classes 1,0 for the Target, and the Score. Due the dataset is not balanced, there are few 1’s. When I plot a simple displot with the Target in the hue parameter, the plot is useless for describing the 1’s I want to change
Plot cumulative distribution with networkx and numpy
I want to implement the cumulative distribution for a graph. Here is my code: To plot cumulative I know that I must have at the x-axis the degree and in the y-axis the samples with value > Degree. The result using my code is the following: But the expected result must be something like this: I am not sure …
Create a matrix with np.random.normal
I need to create an nxn matrix in which the numbers in the cells are distributed following a Gaussian distribution. This code may not go well because it fills a cell with a sequence. how can I do? Answer Edited for border of zeros np.random.normal takes a size keyword argument. You can use it like this:
student t confidence interval in python
I am interested in using python to compute a confidence interval from a student t. I am using the StudentTCI() function in Mathematica and now need to code the same function in python http://reference.wolfram.com/mathematica/HypothesisTesting/ref/StudentTCI.html I am not quite sure how to build this function …