ts_knn: knn time series prediction

In daltoolbox: Leveraging Experiment Lines to Data Analytics

knn time series prediction

Description

Creates a prediction object that uses the K-Nearest Neighbors (knn) method for time series regression

Usage

ts_knn(preprocess = NA, input_size = NA, k = NA)

Arguments

preprocess	normalization
input_size	input size for machine learning model
k	number of k neighbors

Value

a ts_knn object.

Examples

data(sin_data)
ts <- ts_data(sin_data$y, 10)
ts_head(ts, 3)

samp <- ts_sample(ts, test_size = 5)
io_train <- ts_projection(samp$train)
io_test <- ts_projection(samp$test)

model <- ts_knn(ts_norm_gminmax(), input_size=4, k=3)
model <- fit(model, x=io_train$input, y=io_train$output)

prediction <- predict(model, x=io_test$input[1,], steps_ahead=5)
prediction <- as.vector(prediction)
output <- as.vector(io_test$output)

ev_test <- evaluate(model, output, prediction)
ev_test

daltoolbox documentation built on May 29, 2024, 1:57 a.m.