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Hi, I was wondering if you'd be interested in another genetic programming challenge: evolving an expression tree that evaluates to the largest number possible. It's a bit different from your current e…
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Hi, I opened the issue as I am working on the research issues in machine learning to get the optimal set of parameters in a classifier along with optimal selection of features etc.
## Genetic Prog…
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If we just raise a maximization score to -1, is it a minimization problem?
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I'm trying to write a project that depends on scikit-allel. Without listing your dependencies (numpy, scipy, etc) in install_requires there's no way for me to have people easily install my project as…
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Greetings!
To begin with, gplearn is of great use to me as I'm working on a project using GP. However, I think the genetic programming in this project a little bit of simple. Usually, each iteration …
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Greetings!
Instead of having stateless nodes, we could have nodes that are models themselves. That would require
us to create a program "training" phase in gplearn, correct?
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So, I created a notebook on kaggle demonstrating the use of tpot. So far the response has been good.
[Click here to view](https://www.kaggle.com/thebrownviking20/tpot-a-great-tool-to-automate-your-ml…
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Hi All,
My aim is to use Genetic Programming for feature selection. For this is I am using TPOT by giving the just one classification model and some known hyper parameter values as input through…
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ELK library, namely
https://github.com/eclipse/elk/tree/master/plugins/org.eclipse.elk.alg.layered contains layout kernel, which can create layered layout suitable for component diagrams.
Code is co…
Nic30 updated
6 years ago
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Predicting stock prices using Technical Analysis is a 16th century Japanese tech.
Let's improve it by creating an Trading Advisor based on **Machine Learning** who can predict trends.
Using **senti…