References

arrays

summary
public	F abs(A: Array<mixed>): Array<mixed> Get a copy of an array with absolute values of the original array entries.
public	F argFilter(array: Array<mixed>, callback: function(element: mixed, !index: Number): boolean): Array<number> Filter an array and return the array indices where the filter was matched.
public	F argMax(array: Array<number>): number Get array key corresponding to largest element in the array.
public	F argSort(array: Array<mixed>, compareFunction: function(a: mixed, b: mixed): Number): Array<number> Sort an array and return the array indices of the sorted elements.
public	F concatenate(axis: number, S: ...Array<mixed>): Array Concatenate two or more n-dimensional arrays.
public	F dot(x: Array<number>, y: Array<number>): number Calculate dot product of two vectors.
public	F equal(array1: Array<mixed> \| mixed, array2: Array<mixed> \| mixed): boolean Deep check whether two arrays are equal: sub-arrays will be traversed, and strong type checking is enabled.
public	F fill(A: Array<mixed>, value: mixed): Array<mixed> Set all entries in an array to a specific value and return the resulting array.
public	F flatten(A: Array<mixed>): Array<mixed> Recursively flatten an array.
public	F full(shape: Array<number>, value: mixed): Array<mixed> Initialize an n-dimensional array of a certain value.
public	F getArrayElement(A: Array<mixed>, index: Array<number>): mixed Get an arbitrary element from an array, using another array to determine the index inside the first array.
public	F getShape(A: Array<mixed>): Array<number> Find the shape of an array, i.e.
public	F internalSum(A: Array<number>): number Sum all elements of an array.
public	F linspace(a: number, b: number, n: number): Array<number> Generate n points on the interval (a,b), with intervals (b-a)/(n-1).
public	F meshGrid(x: Array<number>, y: Array<number>): Array<Array<Array<number>>> Generate a mesh grid, i.e.
public	F norm(x: Array<number>): * Calculate the Euclidian norm of a vector.
public	F pad(A: Array<mixed>, paddingLengths: Array<number>\|Array<Array.<number>>, paddingValues: Array<number>\|Array<Array.<number>>, axes: Array<number>): Array<mixed> Pad an array along one or multiple axes.
public	F permuteAxes(A: Array<mixed>, newAxes: Array<number>): Array<mixed> Permute the axes of an input array.
public	F power(A: Array<mixed>, y: number \| Array<number>): Array<mixed> Raise all elements in an array to some power.
public	F repeat(axis: number, numRepeats: number, A: Array<mixed>): Array<mixed> Repeat an array multiple times along an axis.
public	F reshape(A: Array<mixed>, shape: Array<number>): Array<mixed> Reshape an array into a different shape.
public	F scale(A: Array<mixed>, c: number): Array<mixed> Multiply each element of an array by a scalar (i.e.
public	F setArrayElement(A: Array<mixed>, index: Array<number>, value: mixed): * Set an arbitrary element in an array, using another array to determine the index inside the array.
public	F shuffle(S: ...Array<mixed>): Array<Array<mixed>> Randomly shuffle multiple arrays in the primary (first) axis.
public	F slice(A: Array<mixed>, start: Array<number>, stop: Array<number>): Array<mixed> Take a slice out of an input array.
public	F subBlock(A: Array<mixed>, offset: Array<number>, shape: Array<number>): Array<mixed> this function was deprecated. Use slice() instead Extract a sub-block of a matrix of a particular shape at a particular position.
public	F sum(S: ...Array<mixed>): Array<mixed> Calculate element-wise sum of two or more arrays.
public	F transpose(A: Array<Array<number>>): Array<Array<number>> Get the transpose of a matrix or vector.
public	F unique(array: Array<mixed>): Array<mixed> Get unique elements in array
public	F valueCounts(array: Array<mixed>): Array<Array<mixed>> Count the occurrences of the unique values in an array
public	F valueVector(n: number, value: mixed): * Initialize a vector of a certain length with a specific value in each entry.
public	F wrapSlice(array: Array<mixed>, begin: number, end: number): Array<mixed> Take a slice out of an array, but wrap around the beginning an end of the array.
public	F zeros(shape: Array<number>): Array<mixed> Initialize an n-dimensional array of zeros.
public	F zipWithIndex(array: Array<mixed>): Array<Array<mixed>> From an input array, create a new array where each element is comprised of a 2-dimensional array where the first element is the original array entry and the second element is its index

classification

summary
public	C Boundaries The decision boundary module calculates decision boundaries for a trained classifier on a 2-dimensional grid of points.

data

summary
public	C Datapoint Datapoint in a dataset, with features and possibly a class index.
public	C Dataset Container of data points for a single data set.

datasets

summary
public	F loadDatasetFromCSV(input: string, callback: function(X: Array<Array<number>>, y: Array<number>)) Load a dataset (features and target) from some CSV input string.
public	F loadDatasetFromRemoteCSV(url: string, callback: function(X: Array<Array<number>>, y: Array<number>)) Load a dataset from a remote CSV file.
public	F loadIris(callback: function(X: Array<Array<number>>, y: Array<number>)) Load the iris dataset.

kernel

summary
public	C Kernel Base class for kernels, which calculate some distance metric between two data points
public	C GaussianKernel The Gaussian kernel, also known as the radial basis function (RBF) kernel
public	C LinearKernel The linear kernel calculates the dot product of the two input vectors
public	C PolynomialKernel The Polynomial kernel.
public	C SigmoidKernel The Sigmoid kernel.

model-selection

summary
public	F trainTestSplit(input: Array<Array<mixed>>, optionsUser: Object): Array Split a dataset into a training and a test set.

preprocessing

summary
public	C LabelEncoder Encoder of categorical values to integers.

random

summary
public	F rand(a: number, b: number): number Generate a random number between a lower bound (inclusive) and an upper bound (exclusive).
public	F randint(a: number, b: number, shape: number \| Array<number>): number \| Array<mixed> Generate a random integer between a lower bound (inclusive) and an upper bound (exclusive).
public	F sample(input: Array<mixed>, number: number, withReplacement: boolean, weights: Array<number> \| string): Array<mixed> Take a random sample with or without replacement from an array.
public	F sampleFisherYates(input: Array<mixed>, number: number): Array<mixed> Take a random sample without replacement from an array.

supervised

summary
public	C Classifier Base class for classifiers.
public	C Estimator Base class for supervised estimators (classifiers or regression models).
public	C OneVsAllClassifier Base class for multiclass classifiers using the one-vs-all classification method.

supervised/linear

summary
public	C BinaryLogisticRegression Logistic Regression learner for binary classification problem.
public	C LogisticRegression Logistic Regression learner for 2 or more classes.
public	C BinaryPerceptron Perceptron learner for binary classification problem.
public	C Perceptron Perceptron learner for 2 or more classes.

supervised/neighbors

summary
public	C Neighbors Base class for neighbors-based classifiers such as KNN
public	C KNN k-nearest neighbours learner.

supervised/neural-network

summary
public	C FullyConnected

supervised/svm

summary
public	C BinarySVM SVM learner for binary classification problem.
public	C SVM Support Vector Machine (SVM) classification model for 2 or more classes.

supervised/trees

summary
public	C DecisionTree Decision tree learner.
public	C DecisionTreeNode Decision tree node.
public	C RandomForest Random forest learner.
public	T DataSplit: Object
public	T DataSplitGroups: Object

ui

summary
public	C Canvas UI canvas for displaying machine learning results.
public	C Datapoint Data point element to be drawn on the canvas

unsupervised

summary
public	C Clusterer Base class for clustering algorithms.

unsupervised/neighbors

summary
public	C KMeans k-means clusterer.

util/input-devices

summary
public	F getTouchCoordinate(e: object, coordinate: string): * Get touch coordinate (x or y) from touchpad input.

util/search

summary
public	F binaryIntervalSearch(array: Array<number>, value: number): number Perform a binary search in a sorted array A to find the index i such that the search value is larger than or equal to A[i], and strictly smaller than A[i+1].

validation/metrics

summary
public	F accuracy(yTrue: Array<mixed>, yPred: Array<mixed>, normalize: boolean): number Evaluate the accuracy of a set of predictions.
public	F auroc(yTrue: Array<number>, yPred: Array<mixed>): number Calculate the area under the receiver-operator characteristic curve (AUROC) for a set of predictions.

Directories