Installation

Use this function to quickly install and configure a GluonTS environment for use with modeltime.gluonts.

install_gluonts() uninstall_gluonts()

Install / Uninstall GluonTS

GluonTS Algorithm Integrations

The main algorithms that have been integrated with modeltime.

deep_ar()

General Interface for DeepAR Time Series Models

deep_state()

General Interface for Deep State Time Series Models

gp_forecaster()

General Interface for GP Forecaster Time Series Models

nbeats()

General Interface for N-BEATS Time Series Models

Saving and Loading Models

The parsnip-adjacent algorithms that implement time series models.

save_gluonts_model() load_gluonts_model()

Saving and Loading GluonTS Models

Dials Tuning Parameters

Tuning parameters for various deep learning models

lookback_length() num_batches_per_epoch() learn_rate_decay_factor() scale_values()

General Tuning Parameters for GluonTS Trainers (All Models)

num_stacks()

Tuning Parameters for NBEATS Models

GluonTS Developer Utilities

These are not meant for general use. Usage is internal to library functionality.

to_gluon_list_dataset()

Convert a data frame to a GluonTS ListDataset

as_pandas_timestamp()

Convert R Date or POSIXt to Pandas Timestamp

is_gluonts_activated() activate_gluonts() get_python_env() check_gluonts_dependencies() check_pytorch_dependencies() detect_default_gluonts_env()

GluonTS Environment Connection Utilities