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- K-Nearest-Neigbor In statistics, the k-nearest neighbors algorithm (k-NN) is a non-parametric classification method
- Logistic Regressor Logistic regression is a supervised learning classification algorithm generally used where we have to classify the data into two or more classes
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- Fit straight line A statistical approach towards forecasting, where a straight line is fit on the data to perform future predictions
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import 'package:dart_ml/dart_ml.dart'; //Minimal dataset where each columns define the feature and the last row is the target class var dataset = [ [2.7810836, 2.550537003, 0], [1.465489372, 2.362125076, 0], [3.396561688, 4.400293529, 0], [1.38807019, 1.850220317, 0], [3.06407232, 3.005305973, 0], [7.627531214, 2.759262235, 1], [5.332441248, 2.088626775, 1], [6.922596716, 1.77106367, 1], [8.675418651, -0.242068655, 1], [7.673756466, 3.508563011, 1] ]; var predicted = knn(dataset, dataset[0], 3); // (train, test, num_neighbors) print(predicted); //{0:5} 0 is the target class and 5 is the num of neigbors of the same class that is 0 var predicted = logreg(dataset, dataset[0], 0.3, 100)); // (train, test, l_rate, n_epoch) print(predicted); //0, returns the predicted class List dataset = [ [2011, 80], [2012, 90], [2013, 92], [2014, 83], [2015, 94], [2016, 99], [2017, 92] ]; var predicted = stline_forecast(dataset, 2018); // 98.0 predicted sales for the year 1995- ⬜️ Regression Algorithms
- ⬜️ Neural Networks
- ⬜️ Model Evaluations
- ⬜️ Dataset tools
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