Softmax Function: Activation for Classification

The Softmax function converts a vector of logits (arbitrary values) into a probability distribution where every value is positive and the values sum to exactly 1. It is the standard output-layer activation for multi-class classification, and the final operation language models use to predict the next token.

March 24, 2023 4 min 590 4.1

Artificial Intelligence

LazyPredict in Python Example: Automating the Machine Learning Model

LazyPredict is a Python library that automatically evaluates dozens of scikit-learn classification and regression models on your dataset in seconds, without writing training code for each one. LazyClassifier and LazyRegressor return a comparative metrics table that shows which models are worth tuning further.

March 24, 2023 5 min 184 4.5