`kosmos.ml.sl_result`¶

Classes¶

class SLIterationResult¶

Bases: abc.ABC

Result of a supervised learning iteration.

loss¶

Mean loss value over the iteration.

Type:: float

metrics¶

Evaluation metrics for the iteration.

Type:: SLMetrics

class SLTrainIterationResult¶

Bases: SLIterationResult

Result of a supervised learning training iteration.

loss¶

Mean loss value over the iteration.

Type:: float

metrics¶

Evaluation metrics for the iteration.

Type:: SLMetrics

epoch¶

Epoch index corresponding to this iteration.

Type:: int

fl_round¶

Federated learning round index corresponding to this iteration. Defaults to None.

Type:: int | None

node¶

The node corresponding to this iteration. Defaults to None.

Type:: Node | None

class SLTestIterationResult¶

Bases: SLIterationResult

Result of a supervised learning test iteration.

loss¶

Mean loss value over the iteration.

Type:: float

metrics¶

Evaluation metrics for the iteration.

Type:: SLMetrics