API Reference#
This page contains auto-generated API reference documentation [1].
- train
- credit
- credit._version
- credit.animation
- credit.attend
- credit.boundary_padding
- credit.cli
- credit.credit_ptype
- credit.data
- credit.datasets
- credit.datasets._utils
- credit.datasets.base_dataset
- credit.datasets.channel_layout
- credit.datasets.count_channels
- credit.datasets.datamap
- credit.datasets.downscaling_dataset
- credit.datasets.era5
- credit.datasets.era5_multistep
- credit.datasets.era5_multistep_batcher
- credit.datasets.era5_singlestep
- credit.datasets.goes
- credit.datasets.hrrr
- credit.datasets.hrrr_download
- credit.datasets.les_singlestep
- credit.datasets.load_dataset_and_dataloader
- credit.datasets.local
- credit.datasets.mrms
- credit.datasets.mrms_download
- credit.datasets.multi_source
- credit.datasets.om4_multistep_batcher
- credit.datasets.realtime_predict
- credit.datasets.sequential_multistep
- credit.datasets.tisr
- credit.datasets.wrf_singlestep
- credit.datasets.wrfmultistep
- credit.diffusion
- credit.diffusion_utils
- credit.distributed
- credit.domain_parallel
- credit.ensemble
- credit.forecast
- credit.gefs
- credit.grid
- credit.interp
- credit.losses
- credit.losses.almost_fair_crps
- credit.losses.base_losses
- credit.losses.covariance
- credit.losses.downscaling_loss
- credit.losses.kcrps
- credit.losses.les_loss
- credit.losses.logcosh
- credit.losses.msle
- credit.losses.power
- credit.losses.spectral
- credit.losses.weighted_loss
- credit.losses.xsigmoid
- credit.losses.xtanh
- credit.metadata
- credit.metrics
- credit.metrics_downscaling
- credit.mixed_precision
- credit.models
- credit.models.base_model
- credit.models.camulator
- credit.models.checkpoint
- credit.models.crossformer
- credit.models.debugger_model
- credit.models.dscale_wrf
- credit.models.fuxi
- credit.models.graph
- credit.models.reset
- credit.models.swin
- credit.models.swin_wrf
- credit.models.unet
- credit.models.unet_attention_modules
- credit.models.unet_diffusion
- credit.models.unet_downscaling
- credit.models.wxformer
- credit.nwp
- credit.ocean
- credit.output
- credit.output_downscaling
- credit.parser
- credit.pbs
- credit.physics_constants
- credit.physics_core
- credit.pol_lapdiff_filt
- credit.postblock
- credit.preblock
- credit.regrid
- credit.replay_buffer
- credit.samplers
- credit.scheduler
- credit.seed
- credit.skebs
- credit.solar
- credit.trainers
- credit.trainers.base_trainer
- credit.trainers.ic_optimization
- credit.trainers.preflight
- credit.trainers.rollout_utils
- credit.trainers.trainerERA5_Diffusion
- credit.trainers.trainerERA5_ensemble
- credit.trainers.trainerERA5gen1
- credit.trainers.trainerLES
- credit.trainers.trainerWRF
- credit.trainers.trainerWRF_multi
- credit.trainers.trainer_downscaling
- credit.trainers.trainer_gen2
- credit.trainers.trainer_om4_samudra
- credit.trainers.utils
- credit.transforms
- credit.transforms_downscaling
- credit.verification
- credit.visualization_tools
- credit.xr_sampler
- scaler
- gfs_init
- train_wrf
- gefs_init
- train_les
- train_gen1
- train_gen2
- data_server
- graph_edges
- rollout_les
- rollout_wrf
- _transforms
- ensemble_eval
- model_summary
- trainerERA5_v2
- trainerERA5_v1
- rollout_samudra
- rollout_metrics
- train_wrf_multi
- graph_edges_knn
- train_multistep
- rollout_realtime
- rollout_to_netcdf
- calc_global_solar
- rollout_downscaling
- rollout_realtime_gen2
- rollout_to_netcdf_gen2
- rollout_metrics_noisy_ic
- trainerERA5_multistep_v1
- trainerERA5_multistep_sum
- rollout_metrics_noisy_model
- trainerERA5_multistep_concat
- trainer_multistep_deprecated