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Implementing temporal, spatial, and spatio-temporal masking #1395

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Implementing temporal, spatial, and spatio-temporal masking #1395

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16 changes: 13 additions & 3 deletions config/default_config.yml
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Expand Up @@ -103,14 +103,24 @@ sampling_rate_target: 1.0
# note that a sampled masking rate leads to varying requirements
masking_rate_sampling: True
# masking_strategy_config is a dictionary of additional parameters for the masking strategy
# required for "healpix" and "channel" masking strategies
# Strategy-specific requirements:
# "healpix": requires healpix mask level to be specified with `hl_mask`
# "channel": requires "mode" to be specified, "per_cell" or "global",
masking_strategy_config: {"strategies": ["random", "healpix", "channel"],
# "channel": requires "mode" to be specified, "per_cell" or "global"
# "causal": masks latest timesteps (no additional config needed)
# "temporal_crop": requires "crop_direction" ("start", "end", or "middle")
# "spatial": requires "cell_strategy" ("random" or "healpix"). If "healpix", also needs `hl_mask`
# Same spatial mask applied to all timesteps
# "spatiotemporal": requires "cell_strategy" ("random" or "healpix"). If "healpix", also needs `hl_mask`
# Different spatial mask per timestep
masking_strategy_config: {"strategies": ["random", "healpix", "channel"],
"probabilities": [0.34, 0.33, 0.33],
"hl_mask": 3, "mode": "per_cell",
"same_strategy_per_batch": false
}
# Example configurations for other strategies:
# Temporal cropping: masking_strategy_config: {"crop_direction": "end"}
# Spatial masking: masking_strategy_config: {"cell_strategy": "healpix", "hl_mask": 3}
# Spatiotemporal masking: masking_strategy_config: {"cell_strategy": "random"}

# Student-teacher configuration (only used when training_mode == "student_teacher")
# TODO: adapt so that the masking or forecast config entry also sits here
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