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Questions tagged [model-fitting]

Fitting parameters of a function to explain given data

414 questions
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11 answers

Finding the best trade-off point on a curve

Say I had some data, for which I want to fit a parametrized model over it. My goal is to find the best value for this model parameter. I'm doing model selection using a AIC/BIC/MDL type of criterion which rewards models with low error but also…
Amro
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2 answers

Fit Quadrilateral (Tetragon) to a blob

After applying different filtering and segmentation techniques, I end up with an image like this: I have access to some contours detection functions that return a list of points on the edge of that object, or returns a fitted polygon (with many…
Mehdi
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1 answer

trying to display original and fitted data (nls + dnorm) with ggplot2's geom_smooth()

I am exploring some data, so the first thing I wanted to do was try to fit a normal (Gaussian) distribution to it. This is my first time trying this in R, so I'm taking it one step at a time. First I pre-binned my data: myhist = data.frame(size =…
Jeffrey Breen
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2 answers

Vector autoregressive model fitting with scikit-learn

I am trying to fit vector autoregressive (VAR) models using the generalized linear model fitting methods included in scikit-learn. The linear model has the form y = X w, but the system matrix X has a very peculiar structure: it is block-diagonal,…
MB-F
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4 answers

ValueError: Unknown label type: while implementing MLPClassifier

I have dataframe with columns Year, month, day,hour, minute, second, Daily_KWH. I need to predict Daily KWH using neural netowrk. Please let me know how to go about it Daily_KWH_System year month day hour minute second 0 …
Anagha
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2 answers

Fitting a 3 parameter Weibull distribution

I have been doing some data analysis in R and I am trying to figure out how to fit my data to a 3 parameter Weibull distribution. I found how to do it with a 2 parameter Weibull but have come up short in finding how to do it with a 3 parameter.…
Matthew Crews
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1 answer

Correct usage of fmin_l_bfgs_b for fitting model parameters

I have a some experimental data (for y, x, t_exp, m_exp), and want to find the "optimal" model parameters (A, B, C, D, E) for this data using the constrained multivariate BFGS method. Parameter E must be greater than 0, the others are…
Benjamin
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Why does scipy.optimize.least_squares exist when scipy.optimize.minimize could potentially be used for the same things?

I am trying to understand why the scipy.optimize.least_squares exists in scipy. This function can be used to perform model-fitting. However, one could use scipy.optimize.minimize to do the same thing. The only difference is that…
AstrOne
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Fitting a non-homogeneous poisson-process with PyMC

I'm new to PyMC and trying to fit my non-homogeneous poisson-process with a piecewise-constant rate function using the maximum a posteriori estimate. My process describes some events during a day. Therefore i'm splitting a day into 24 hours, which…
sascha
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2 answers

Does 'statsmodels' or another Python package offer an equivalent to R's 'step' function?

Is there a statsmodels or other Python equivalent for R's step functionality for selecting a formula-based model using AIC?
orome
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2 answers

How to check the convergence when fitting a distribution in SciPy

Is there a way to check the convergence when fitting a distribution in SciPy? My goal is to fit a SciPy distribution (namely Johnson S_U distr.) to dozens of datasets as a part of an automated data-monitoring system. Mostly it works fine, but a few…
Vojta F
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3 answers

Is it possible to fit separate parts of an sklearn pipeline?

Consider having following sklearn Pipeline: pipeline = make_pipeline( TfidfVectorizer(), LinearRegression() ) I have TfidfVectorizer pretrained, so when I am calling pipeline.fit(X, y) I want only LinearRegression to be fitted and I don't…
Alexander
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Python power law fit with upper limits & asymmetric errors in data using ODR

I'm trying to fit some data to a power law using python. The problem is that some of my points are upper limits, which I don't know how to include in the fitting routine. In the data, I have put the upper limits as errors in y equal to 1, when the…
astrostudent
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Fitting Parametric Curves in Python

I have experimental data of the form (X,Y) and a theoretical model of the form (x(t;*params),y(t;*params)) where t is a physical (but unobservable) variable, and *params are the parameters that I want to determine. t is a continuous variable, and…
Necarion
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How to catch any Exception during Model Training in Tensorflow 2

I'm training a Unet model using Tensorflow. If there is a problem with any of the images I am passing to the model for training, an exception is thrown. Sometimes this can occur an hour or two into training. Is it possible to catch any such…
CSharp
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