Linear Trees combine the learning ability of Decision Tree with the predictive and explicative ... The module depends on NumPy, SciPy and Scikit-Learn (>=0.24.2). Python 3.6 or above is supported.

Thistle & Nest, an affordable housing provider in Bend, says the city’s new tree code isn’t flexible enough and is raising the cost of building new housing in Central Oregon.At one of the ...

The risks of executing untrusted Python code range from introducing vulnerabilities to compromising sensitive data. Yet, as AI agents grow more sophisticated, their reliance on dynamic code ...

Add a description, image, and links to the bayesian-decision-theory topic page so that developers can more easily learn about it.

Abstract: In this paper, we present a new algorithm for learning oblique decision trees. Most of the current decision tree algorithms rely on impurity measures to assess the goodness of hyperplanes at ...

illustrates how data science is being used to support informed decision-making and long-term strategy in fintech. Fintech relies heavily on sophisticated tools and technologies like Python and ...