This is the abstract base class for task objects like PredictionClassif or PredictionRegr.

Prediction objects store the following information:

  1. The row ids of the test set

  2. The corresponding true (observed) response.

  3. The corresponding predicted response.

  4. Additional predictions based on the class and predict_type. E.g., the class probabilities for classification or the estimated standard error for regression.

Format

R6::R6Class object.

Construction

This object is constructed via a derived classes, e.g. PredictionClassif or PredictionRegr.

Fields

  • row_ids :: (integer() | character())
    Vector of row ids for which predictions are stored.

  • truth :: any
    True (observed) outcome.

  • task_type :: character(1)
    Stores the type of the Task.

  • predict_types :: character()
    Vector of predict types this object stores.

  • missing :: logical()
    Returns row_ids for which the predictions are missing or incomplete.

Methods

  • score(measures = NULL, task = NULL, learner = NULL)
    (list of Measure, Task, Learner) -> Prediction
    Calculates the performance for all provided measures Task and Learner may be NULL for most measures, but some measures need to extract information from these objects.

S3 Methods

See also