pdft.training.TrainingResult

class pdft.training.TrainingResult(basis: 'Any', loss_history: 'list[float]', seed: 'int', steps: 'int', wall_time_s: 'float', val_history: 'list[float]' = <factory>, epochs_completed: 'int' = 0)

Bases: object

Parameters:

• basis (Any)

• loss_history (list[float])

• seed (int)

• steps (int)

• wall_time_s (float)

• val_history (list[float])

• epochs_completed (int)

__init__(basis, loss_history, seed, steps, wall_time_s, val_history=<factory>, epochs_completed=0)

Parameters:

• basis (Any)

• loss_history (list[float])

• seed (int)

• steps (int)

• wall_time_s (float)

• val_history (list[float])

• epochs_completed (int)

Return type:

None

Methods

__init__(basis, loss_history, seed, steps, ...)

Attributes

epochs_completed
basis
loss_history
seed
steps
wall_time_s
val_history

basis: Any

loss_history: list[float]

seed: int

steps: int

wall_time_s: float

val_history: list[float]

epochs_completed: int = 0