All Questions
Tagged with machine-learning probability-or-statistics
25 questions
1
vote
1
answer
164
views
How to do BayesianMinimization in 2D?
Studying a new experimental BayesianMinimization command in 14.0 and following an example from the documentation
...
1
vote
0
answers
62
views
How to measure a LearnedDistribution?
I would like to measure the qualities of a LearnedDistribution in general and with regard to test sets. The docs say that it takes an option ValidationSet, but ...
18
votes
2
answers
1k
views
Diffusion probabilistic model in deep generative modeling
Diffusion Models (http://proceedings.mlr.press/v37/sohl-dickstein15.html and https://arxiv.org/abs/2006.11239) are generative models gaining popularity in the community of deep generative modeling, ...
7
votes
1
answer
127
views
How to calculate a PDF of a neural network output?
I have to find the probability density function of the output of an internal layer in a neural network.
I wanted to do it using NetMeasurements adding a layer like
<...
11
votes
1
answer
490
views
Can LearnDistribution learn conditionality?
I would like to apply LearnDistribution to multivariate conditional distributions. Here's a simple artificial example:
...
3
votes
0
answers
43
views
Assessing your own classifier function with ClassifierMeasurements or NetMeasurements
The functions ClassifierMeasurements and NetMeasurements expect objects that are created through ...
0
votes
1
answer
448
views
multivariate Gaussian distribution with identity covariance
I want to draw Geometry (or contours) for multivariate Gaussian distribution with identity covariance matrix (or draw decision boundary). How this is possible via Wolfram's online at Here?
Please ...
7
votes
1
answer
156
views
Logistic Regression classifier in Versions 12 vs 11.3
There is a mysterious "LogisticRegression" method in MMA, which could be applied as a substitution for missing multinomial logit functionality.
In version 11.3 I had the following simple 3-category ...
3
votes
1
answer
643
views
How can I normalize a dataset relative to data already given previously?
Some scientific libraries, like Scikit-Learn for Python are able to create normalizing/standardizing functions based on data that is previously given. Looking at the documentation for ...
2
votes
1
answer
78
views
Confusion about Predict Model NameAge
Predict["NameAge", "Claire"]
8
distribution = Predict["NameAge", "Claire", "Distribution"]
dataRaw = distribution[[2]]
<...
0
votes
2
answers
410
views
How to Sample from a Probability Density Function
I've done a pretty good job working my way through and understanding the various ways to calculate the differences between probability distributions through Kullback Leibler Divergence and was happy ...
0
votes
0
answers
60
views
CDF of probability from a ClassifierFunction
I have a classifier function that classifies whether a student is likely to succeed in a course given their score on a placement test. From this, I am pulling both the probability of being successful ...
6
votes
1
answer
104
views
Predict failed to reproduce result of multiple linear regression
I would like to reproduce the result of multiple linear regression with Predict. In approach 1, I used matrix computation and obtained ...
2
votes
1
answer
221
views
Plotting a precision recall curve?
I would like to plot some PR curves for a few different applications:
results on a test set for a (multilabel multiclass) classifier
results on a test set for a CBIR function that returns ranked ...
2
votes
1
answer
80
views
How does DimensionReduce work for EventData?
My question is whether the use of DimensionReduce, for a simple example with
Method -> "PrincipalComponentsAnalysis" is the ...
4
votes
1
answer
120
views
ClassificationMeasurements without the Classifier
I only have classifications (a list of inputs and outputs), but not a ClassifierFunction, how can I still use ...
9
votes
0
answers
394
views
How to extract tree parameters from RandomForest?
I want to extract the parameters of a decision tree from the object estimated by Classify[].
It seems that parameters of the estimated Classifier are available in the "Models" property. It is ...
11
votes
1
answer
2k
views
Markov Random Field
I look for an efficient way to implement a Pairwise Markov Random Field.
I have implemented a homogeneous (i.e., unary potential is a similar function in all nodes, and pairwise potential is a ...
7
votes
1
answer
772
views
Specifying mean and kernel function in Gaussian Process
As part of the Improved Machine Learning in Mathematica 11, Wolfram advertises the Method "GaussianProcess" which can be used with Predict[] to obtain smooth Gaussian random fields. The screenshot ...
1
vote
0
answers
215
views
Cross-entropy calculation
This is a really dumb question, but here goes: is there a way to compute cross-entropy of two probability distributions? There is CrossEntropyLayer[], so ...
3
votes
1
answer
96
views
Classifier from Two Distributions
Maybe this is a noob question and maybe it should be on CrossValidated ...
Suppose I have two classes {class1, class2} and have their two associated EmpiricalDistribution[]s, pdf1(x) and pdf2(x).
...
5
votes
1
answer
1k
views
How to perform convolutions on this complicated pdf?
For a known pdf f[x], I need to calculate integrals over the probability density of the sum of Log[f[x]] over independent samples:
$$Q[t,n]\equiv P(\sum_{i=1}^{n}...
15
votes
2
answers
1k
views
How to do Independent Component Analysis?
The new experimental function in 10.3.1 DimensionReduce[], has the following three options for Method:
...
1
vote
0
answers
610
views
Uncorrected Versus Corrected Measures of StandardDeviation in PredictorMeasurements' "StandardDeviation"
When using Predict have noticed that the standard deviation of the residuals computed manually is not equal to the output from ...
15
votes
1
answer
474
views
Rapid density estimation and rendering of decision regions
I would like to create an interactive demonstration using Manipulate[] that illustrates a fundamental concept in pattern classification and machine learning. This ...