Function reference
Register Models
These functions are used together to register all the different types of information that is needed for them to be used in their respective tidymodels packages.
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set_new_model() - Register New Model
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set_model_mode() - Register Mode for Model
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set_model_engine() - Register Engine for Model
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set_dependency()get_dependency() - Register Dependency for Model
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set_model_arg()get_model_arg() - Register Argument for Model
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set_encoding()get_encoding() - Register Encoding Options for Model
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set_pred()get_pred_type() - Register Prediction Method for Model
Developer Functions
This set of functions can be useful inside modeling infrastructure to perform checking that the models, modes, and engines align.
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stop_incompatible_mode() - Error handling for incompatible modes
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check_spec_mode_engine_val() - Error handling for unknown mode
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new_unsupervised_spec() - Give object unsupervised specification class
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is_unsupervised_spec() - Determine object is has class unsupervised_spec
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new_unsupervised_fit() - Give object unsupervised fit class
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is_unsupervised_fit() - Determine object is has class unsupervised_fit
Model Environment
modelenv provides an environment which is used to store the registered models. These functions is how to access the underlying environment.
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get_model_env()get_from_env()set_env_val() - Working with the modelenv model environment