predict_tsc: Predict using a TrainAndPredict Object.

In compstat-lmu/TSClassification: Interface to various time series classifiers from the "The Great Time Series Classification Bake Off"

Description

Predicts newdata using the model obtained during training.

Usage

predict_tsc(newdata, target = NULL, model_path, data_path = NULL,
  cleanup_data = FALSE)

Arguments

newdata	character(1) | data.frame Either a data.frame containing the data, or a file path to data used for prediction.
target	character(1) Name of the target variable. Can be NULL.
model_path	character(1) Path where the prediction model should be obtained from.
data_path	character(1) Path where train and test data should be saved to. Defaults to a temporary file.
cleanup_data	logical(1) Should newdata be deleted from disk after training?

Value

factor Vector of predictions.

Examples

  data = data.frame(matrix(rnorm(300), nrow = 30))
  data$class = factor(sample(letters[1:2], 10, replace = TRUE))
  model_path = tempfile()
  train_tsc(data, target = "class", classifier = "weka.classifiers.trees.J48",
    model_path = model_path)
  predict_tsc(data, target = "class", model_path = model_path)

compstat-lmu/TSClassification documentation built on Nov. 18, 2019, 6:56 a.m.