gluonts-env: GluonTS Environment Connection Utilities

In business-science/modeltime.gluonts: 'GluonTS' Deep Learning

GluonTS Environment Connection Utilities

Description

These functions are used for testing and establishing a python environment connection with modeltime.gluonts.

Usage

is_gluonts_activated()

activate_gluonts()

get_python_env()

check_gluonts_dependencies()

check_pytorch_dependencies()

detect_default_gluonts_env()

Details

• is_gluonts_activated(): Determines if a GluonTS Environment has been activated during library(modeltime.gluonts).

  • If TRUE, then you should be good to go.

  • If FALSE, then a connection between modeltime.gluonts and your GluonTS Python has not been activated.

• activate_gluonts(): Attempts to activate a connection between modeltime.gluonts and an associated GluonTS Python Environment using reticulate::use_condaenv(required = TRUE).

  • It first looks for the system environment variable, 'GLUONTS_PYTHON', for a path to the python executable

  • It next looks for a Conda Environment named 'r-gluonts' (this is what most users will have)

• get_python_env(): Returns the configuration for the python environment that is being discovered using reticulate::py_discover_config().

• check_gluonts_dependencies(): Checks whether GluonTS required python dependencies are present in the currently activated Python Environment.

• detect_default_gluonts_env(): Detects if an 'r-gluonts' python environment is available.

  • Returns a tibble containing the

  • Returns NULL if an 'r-gluonts' environment is not detected

See Also

• install_gluonts() - Used to install the python environment needed to run modeltime.gluonts.

Examples

# Returns TRUE if GluonTS connection established on package load
is_gluonts_activated()

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business-science/modeltime.gluonts documentation built on Jan. 20, 2024, 3:59 a.m.