Prediction: Manages the prediction computed for a specific model.

In D2MCS: Data Driving Multiple Classifier System

Manages the prediction computed for a specific model.

Description

Allows to obtain predictions from the data provided using a pre-trained model.

Methods

Public methods

• Prediction$new()

• Prediction$execute()

• Prediction$getPrediction()

• Prediction$getModelName()

• Prediction$getModelPerformance()

• Prediction$clone()

---

Method new()

Method for initializing the object arguments during runtime.

Usage

Prediction$new(model, feature.id = NULL)

Arguments

model

A list containing the information of the trained model composed of five elements: "model.name", "exec.time", "model.performance", "model.data" and "model.libs".

feature.id

A character value containing the column name used as identifier.

---

Method execute()

Calculates predictions of the values passed by parameters using the corresponding model.

Usage

Prediction$execute(pred.values, class.values, positive.class)

Arguments

pred.values

A data.frame containing the values to predict.

class.values

A vector containing the class values.

positive.class

A character value containing the positive class.

---

Method getPrediction()

The function is used to return the prediction values computed.

Usage

Prediction$getPrediction(type = NULL, target = NULL)

Arguments

type

A character to define which type of predictions should be returned. If not defined all type of probabilities will be returned. Conversely if "prob" or "raw" is defined then computed 'probabilistic' or 'class' values are returned.

target

A character defining the value of the positive class.

Returns

A data.frame with the computed prediction.

---

Method getModelName()

Gets the model name.

Usage

Prediction$getModelName()

Returns

The character value of model value.

---

Method getModelPerformance()

Gets the performance of the model.

Usage

Prediction$getModelPerformance()

Returns

The numeric value of the model's performance.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Prediction$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

ClusterPredictions

D2MCS documentation built on Aug. 23, 2022, 5:07 p.m.