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JavierEscobarOrtiz avatar JavierEscobarOrtiz commented on May 24, 2024

Buenas @GabrielCornejo

Te recomiendo echarle un ojo a la user guide de hyperparameter tuning, tienes muchos ejemplos de cómo introducir cualquier hiperparámetro:

https://skforecast.org/latest/user_guides/hyperparameter-tuning-and-lags-selection

y a la de backtesting para entender la estrategia de validación que se usa para esta búsqueda:

https://skforecast.org/latest/user_guides/backtesting

La y hace referencia a la propia serie temporal del problema de forecasting e initial_train_size es el número de observaciones de esa serie que se emplean en el entrenamiento inicial antes de aplicar backtesting. Todas estas definiciones las puedes encontrar en la propia docstring de la función o en la sección de API de la docu:

https://skforecast.org/latest/api/model_selection#skforecast.model_selection.model_selection.random_search_forecaster

Espero que te ayude

from skforecast.

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