pangeo_fish.hmm.prediction.Gaussian1DHealpix

class pangeo_fish.hmm.prediction.Gaussian1DHealpix(cell_ids: (<class 'xarray.namedarray._typing._arrayfunction'>, <class 'xarray.namedarray._typing._arrayapi'>), grid_info: xdggs.grid.DGGSInfo, sigma: float, truncate: float = 4.0, kernel_size: int | None = None, weights_threshold: float | None = None, pad_kwargs: dict[str, typing.Any]=<factory>, optimize_convolution: bool = True)

__init__(cell_ids: (<class 'xarray.namedarray._typing._arrayfunction'>, <class 'xarray.namedarray._typing._arrayapi'>), grid_info: DGGSInfo, sigma: float, truncate: float = 4.0, kernel_size: int | None = None, weights_threshold: float | None = None, pad_kwargs: dict[str, ~typing.Any]=<factory>, optimize_convolution: bool = True) → None

Methods

__init__(cell_ids, grid_info, sigma, ...)
predict(X, *[, mask])

Attributes

kernel_size
optimize_convolution
truncate
weights_threshold
cell_ids
grid_info
sigma
pad_kwargs