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How do I interpret Gaussian process parameters?
I'm performing Gaussian process regression using GPyTorch. I'm modeling two correlated tasks as follows:
class MyModel(gpytorch.models.ExactGP):
def __init__(self, X, Y, likelihood):
super(...
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1
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61
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Kalman Filter with weighted Non-Gaussian Noise
I have question regarding how to implement a Kalman Filter when the measurements are less than reliable. I am attempting to use a UWB piece of technology called a DecaWave for indoor localization. In ...
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Absolute Value bounds for lmfit? Trying to use lmfit to non-linear least squares fit for a function with an undefined region between -0.1 and 0.1
I'm trying to fit data to a bidirectional exponential gaussian function (equation below) using lmfit. The equation has four variables: center, amplitude, sigma, and gamma. The first three are always ...
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Python sklearn Gaussian mixture model does not fit a bimodal distribution very well
I have read around a bit and never asked a question on stackoverflow before.
It seems there is a solution to my problem, but I don't understand the way it is written and computed.
Fit mixture of two ...
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What is happening when I model the sigma term in a glmm with a Gaussian distribution in brms
If I am interested in understanding the effect of an interaction between treatment and covariates on the variance of my response, as well as how they may affect the mean of my response, can I write a ...
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1
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63
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Problem when defining a 2d gaussian in zfit
I want to create a custom two dimensional gaussian PDF in Zfit but I thing i am doing it wrong.
class MyG(zfit.pdf.ZPDF):
_N_OBS = 2 # dimension, can be omitted
_PARAMS = ['mean_x', 'std_x', '...
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49
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Instrumental Amplifier with Monte Carlo in NGSPICE
I want to try to do the Monte Carlo in this circuit with an instrumental amplifier, but the loop does not work for me, I try to export in a txt file, but the 100 iterations are accumulated in the ...
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I'm having trouble writing a program to find the standard deviation for the gaussian and graph it
I'm trying to write a program in C++ to find the standard deviation for a gaussian given two variables, a "cutoff range" and a "half range". The "cutoff range" is the ...
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I am getting error while running this line of code gnb.fit(df_train, y_train)
Title: ValueError: could not convert string to float when training GaussianNB for SMS Spam Detection
Body:
I'm building an SMS spam detection tool and encountering an error while predicting with a ...
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Gaussian Process that models the uncertainty of the samples, not of the posterior
I have some data and I would like a GP that gives me an approximate distribution of the samples that will arise in the future, not uncertainty over the posterior.
# Parameters for the solar plant ...
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3
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285
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How to do a gaussian blur without modifying the original pixels?
Given an image such as below, I want to blur it such that none of the original black pixels change in value. The blur should have a nice S curve fade-off to white.
If I apply a 15px gaussian blur to ...
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1
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43
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calculating multi dimensional gaussian distribution by nump apply_along_axis
I want to calculate multi dimensional Gaussian for multi-band image. For this purpose I need to consider each pixel with its value in different bands as vector to apply Gaussian which contains matrix ...
2
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1
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134
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Fitting curve using real Gauss distribution in Python
I have a set of points, their scattered image resemblances to a Gaussian normal distribution. Searching the internet there are many Python sample how to fit a curve to the points. They based on:
def ...
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2
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128
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Fit a 3D parabola using sliced 2D gaussian distributions
I have a 3D spray distribution that should fit to a 3D parabolic function. Captured data using a beam to slice the 3D parabola at different heights will fit 2D gaussians. How would I fit or estimate ...
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Sampling angles on a sphere: From a general covariance matrix to concentration parameter
I am trying to extract points on a sphere in python.
I have to localise event in the sky and produce a map using healpy.
During the test session I used the von Mises-Fisher since I assumed that ...