MyML

Just a machine learning lib written in Dotnet 8 framework

Features

• Naive Bayes Classifier (Multinomial): designed for text classification tasks. The Multinomial variant is suitable for handling text data with multiple classes and word occurrences.

• Generic Design: The library is designed to be generic and adaptable, allowing you to train classifiers for various types of data and labels.

• Easy Training: Training a classifier is straightforward, and the library handles essential tasks such as feature extraction and Laplace (add-one) smoothing automatically.

Usage

// Create an instance of the classifier
var classifier = new MultinomialNaiveBayesClassifier();

// Train the classifier with your training data (ClassifierModel)
classifier.Train(trainingData);

// Make predictions
var prediction = classifier.Predict(textToClassify);

TODO

• Do unit tests with possible use cases
• Try other Supervised Learning (Decision Trees,Logistic Regression)