Question 1

How do I choose the best algorithm in zoofs for my data?

Accepted Answer

Start with Particle Swarm Optimization as a general-purpose choice, but experiment based on your dataset size and model; the README suggests using algorithms with quicker-building models like LightGBM for better performance.

Question 2

Can zoofs work with deep learning models like TensorFlow or PyTorch?

Accepted Answer

Yes, but you need to wrap the deep learning model in an objective function that handles training and prediction, ensuring compatibility with zoofs' interface for passing data and returning a metric.

Question 3

What's the difference between zoofs and sklearn's Recursive Feature Elimination?

Accepted Answer

zoofs uses nature-inspired metaheuristics to explore feature subsets more globally, while RFE is a greedy sequential method; zoofs can escape local optima but is slower, whereas RFE is faster but may miss better subsets.

Question 4

How to define an objective function in zoofs for a custom metric?

Accepted Answer

Create a Python function that takes a model, training, and validation data, fits the model, and returns the metric value (e.g., accuracy or MSE); see the README examples for classification and regression with log loss and mean squared error.

Question 5

Does zoofs support parallel processing to speed up feature selection?

Accepted Answer

The README doesn't mention parallelization; computations are sequential, which could be a bottleneck for large populations or iterations, so you may need to implement external parallelization if needed.

Question 6

How to handle missing values or categorical features in zoofs?

Accepted Answer

zoofs doesn't handle data preprocessing internally; you must clean and encode data (e.g., using pandas or sklearn) before passing it to the algorithms, as it works directly on feature subsets as binary selections.

zoofs

What is zoofs?

Overview

Use Cases

Best For

Related Projects

Found a gem we're missing?

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions