/mod.ts | vectorizer@v0.3.7

import * as vectorizer from "https://deno.land/x/vectorizer@v0.3.7/mod.ts";

Classes

c CategoricalEncoder
c ClassificationReport
c ConfusionMatrix	Confusion matrix for the result.
c Image
c Matrix	Class for 2D Arrays. This is not akin to a mathematical Matrix (a collection of column vectors). This is a collection of row vectors.
c TextVectorizer

The fraction of positives that were predicted correctly

f accuracyScore	The fraction of predictions that were correct
f extractColors
f f1Score
f getConstructor
f getHistogram	Get a histogram of frequency of colors.
f mae	Mean Absolute Error
f mse	Mean Square Error
f patch2d	Extract patches from a 2d image
f precisionScore	The fraction of "positive" predictions that were actually positive
f r2
f rmse	Root Mean Square Error
f sensitivityScore	The fraction of positives that were predicted correctly
f specificityScore	The fraction of negatives that were predicted correctly
f useDuration	Convert milliseconds into a duration object.
f useNormal	Generate a normal random variate.
f useNormalArray	Generate a normally distributed array.
f useRange	Get n evenly distributed numbers in a range.
f useRearrange	Rearrange characters in a string randomly.
f useRNG	Get random number from range
f useSeries	Get an array of numbers between a given range, incremented by a step.
f useShuffle	Shuffle a given array in-place.
f useSplit	Split arrays by their first axis
f useTime	Get current time as an object
f useUnique	Remove duplicate values in an array. Uses a strict = for identifying duplicates.
f useWeighted	Roll one from an array of weighted choices.

T ImageData
T Pixel