daltoolboxdp

Description

Extends 'daltoolbox' with Python-backed components for deep learning, scikit-learn classification, and time-series forecasting through 'reticulate'. The package provides objects that follow the 'daltoolbox' architecture while delegating model creation, fitting, encoding, and prediction to Python libraries such as 'torch' and 'scikit-learn'. In the package name, 'dp' stands for 'Deep Python'. The overall workflow is inspired by the Experiment Lines approach described in Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.

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Packages required but not available: 'tspredit', 'daltoolbox'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

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Packages required but not available: 'tspredit', 'daltoolbox'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

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