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Support real-valued features for latent categorical and latent Gaussian states. For latent categorical states, this will correspond to a mixture of Gaussians under a normal-inverse-chi-squared prior. For latent Gaussian state, this will be a structured linear model.
PR Implement DataTable class for heterogeneous row-oriented data.
Implement ingest logic in format module.
Refactor training module to use DataTable
Refactor serving module to use DataTable
Refactor everything else to use DataTable
The text was updated successfully, but these errors were encountered:
Support real-valued features for latent categorical and latent Gaussian states. For latent categorical states, this will correspond to a mixture of Gaussians under a normal-inverse-chi-squared prior. For latent Gaussian state, this will be a structured linear model.
DataTable
class for heterogeneous row-oriented data.format
module.training
module to useDataTable
serving
module to useDataTable
DataTable
The text was updated successfully, but these errors were encountered: