Prediction Types

Generative(prediction_len)

A prediction strategy that enables models to generate autonomous multi-step forecasts by recursively feeding their own outputs back as inputs for subsequent prediction steps.

Parameters

• prediction_len: The number of future steps to predict.

Description

The Generative prediction method allows a model to perform multi-step forecasting by using its own previous predictions as inputs for future predictions.

At each step, the model takes the current input, generates a prediction, and then incorporates that prediction into the input for the next step. This recursive process continues until the specified number of prediction steps (prediction_len) is reached.

Predictive(prediction_data)

A prediction strategy for supervised learning tasks, where a model predicts labels based on a provided set of input features (prediction_data).

Parameters

• prediction_data: The input data used for prediction, feature x sample

Description

The Predictive prediction method uses the provided input data (prediction_data) to produce corresponding labels or outputs based on the learned relationships in the model.