tempor.models.clairvoyance2.data.update_from module¶

tempor.models.clairvoyance2.data.update_from.get_n_step_ahead_index(time_index: RangeIndex | DatetimeIndex | Index, n_step: int) → RangeIndex | DatetimeIndex | Index[source]¶

class tempor.models.clairvoyance2.data.update_from.UpdateFromArrayExtension[source]¶

Bases: object

df : DataFrame¶

time_index : Any¶

n_timesteps : Any¶

update_from_array(update_array: TTensorLike, time_index: RangeIndex | DatetimeIndex | Index, padding_indicator: float = -999.0) → None[source]¶

update_from_array_n_step_ahead(update_array: TTensorLike, n_step: int, padding_indicator: float = -999.0) → None[source]¶

class tempor.models.clairvoyance2.data.update_from.UpdateFromSequenceOfArraysExtension[source]¶

Bases: object

n_samples : Any¶

sample_indices : Any¶

update_from_sequence_of_arrays(update_array_sequence: Sequence[TTensorLike], time_index_sequence: Sequence[RangeIndex | DatetimeIndex | Index], padding_indicator: float = -999.0) → None[source]¶

update_from_array_n_step_ahead(update_array_sequence: Sequence[TTensorLike], n_step: int, padding_indicator: float = -999.0) → None[source]¶