All Questions
Tagged with machine-learning implementation-details
14 questions
5
votes
2
answers
101
views
Which model behind SequencePredictorFunction?
Is the SequencePredictorFunction based on Hidden Markov Model?
If so, how does the model estimate the number of hidden states?
- 9,621
4
votes
1
answer
110
views
Does RandomArrayLayer implement the reparameterization trick?
I want to backpropagate through random operations (e.g. learn the mean and variance of a Gaussian random variable). I assumed that
...
2
votes
1
answer
155
views
Mathematica classify NeuralNetwork default parameters
We have trained a Neural Network on Mathemetica classify with one hidden layer and received good classification results. We would like to know the default parameters beside it has one hidden layer? ...
CommunityBot
- 1
5
votes
0
answers
167
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Is there a way to get the decision trees used by machine learning methods like `RandomForest`?
I was looking at a tutorial of SimFin, a new German-based financial data provider.
There is a nice example of machine learning using sklearn in python. The package ...
3
votes
1
answer
308
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What is Mathematica's ML Linear Regression Method?
When I run p = Predict[trainingSet, Method -> "LinearRegression"];, how is that different from just running ordinary least squares?
It's quite slow on a ...
7
votes
3
answers
888
views
how to take ImageFeatures?
I want to know how to transform images to feature vector.
There is a function FeatureExtractor.And it has some methods.
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- 27.8k
6
votes
1
answer
792
views
Classify Function : Sentiment Polarity
I have been working on a project involving the new Classify[] function. More specifically, the sentiment analysis function.
It works perfectly well, as in the documentation:
...
- 273k
6
votes
0
answers
126
views
What algorithm is BayesianMaximization using?
The docs show the following options for BayesianMaximization's Method:
"MaxExpectedImprovement" maximize expected improvement over current best value
"MaxImprovementProbability" maximize ...
21
votes
2
answers
2k
views
How to know the internal algorithms of functions like Predict or Classify?
The document centre seems only explain how to use these functions, but just in an very brief way. I know Mathmatica is not open source, so we can not expect to see the code of the function, but are ...
- 541
4
votes
1
answer
165
views
Classifying text and number features
I am new to the ML algorithms and I am checking the Classify function of Mathematica. I understand the math for the random forest algorithm, but I have a question ...
37
votes
3
answers
3k
views
What is behind experimental function: FindFormula?
In version 10.2 there is a new experimental function: FindFormula[].
I suspect that a genetic programming algorithm (symbolic regression) is behind this new ...
- 655
8
votes
1
answer
337
views
Is the Method -> Automatic option for Classify not deterministic?
I just prepared an (well known) example in machine learning, the weather dependent determination of whether to play golf or not, as shown in this picture (of a corresponding Dataset)
Now I set up ...
CommunityBot
- 1
1
vote
0
answers
363
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What's the algorithm behind markov classifier in Classify function for text classification?
https://www.wolfram.com/mathematica/new-in-10/highly-automated-machine-learning/find-which-author-wrote-a-text.html
The above url show the use of Classify ...
3
votes
0
answers
154
views
How does Mathematica automatically choose which classifier method to use?
I'm interested in what heuristics are used in Classify's choice of method.