query: What is the extension(or generalisation) of the sigmoid function to non-binary classification?
positive_passages.docid: 146981
positive_passages.text: Using Softmax activation function for multi-class classification
negative_passages.docid: 140293
negative_passages.text: Learning a quadratic function using TensorFlow/Keras
negative_passages.docid: 40108
negative_passages.text: standardising non normally distributed predictors for regression
negative_passages.docid: 158991
negative_passages.text: Which loss function is correct for logistic regression?
negative_passages.docid: 139822
negative_passages.text: Does the universal approximation theorem for neural networks hold for any activation function?
negative_passages.docid: 112378
negative_passages.text: Decision boundaries and Gaussian density functions
negative_passages.docid: 91913
negative_passages.text: Neural Network: For Binary Classification use 1 or 2 output neurons?
negative_passages.docid: 1590
negative_passages.text: Why not approach classification through regression?
negative_passages.docid: 63692
negative_passages.text: Is KNN a discriminative learning algorithm?
negative_passages.docid: 42256
negative_passages.text: Binary classification with strongly unbalanced classes
negative_passages.docid: 127425
negative_passages.text: GEE, quasi-likelihood and what it generalizes
negative_passages.docid: 78166
negative_passages.text: Inverse function for a non-decreasing CDF
negative_passages.docid: 21982
negative_passages.text: How to know the internal pre-processing of automatic machine learning function `Classify`?
negative_passages.docid: 6314
negative_passages.text: How can I classify data with the nearest-neighbor algorithm using Python?
negative_passages.docid: 114612
negative_passages.text: Why is "consistent nearest neighbour" Non-parametric?
negative_passages.docid: 89330
negative_passages.text: Machine Learning - Where is the difference between one-class, binary-class and multinominal-class classification?
negative_passages.docid: 93969
negative_passages.text: Is it possible to learn a neural networks for a constant target?