src.model.deeplearn.loss.torf_categorical_crossentropy

Functions

vl3d_torf_categorical_crossentropy()
vl3d_torf_class_weighted_categorical_crossentropy(...)
vl3d_torf_class_weighted_focal_categorical_crossentropy(...)
vl3d_torf_focal_categorical_crossentropy(gamma)

src.model.deeplearn.loss.torf_categorical_crossentropy.vl3d_torf_categorical_crossentropy()

Author:

Alberto M. Esmoris Pena

TORF masked categorical crossentropy (plain).

Returns:

Loss function (y_true, y_pred) -> scalar.

Return type:

callable

src.model.deeplearn.loss.torf_categorical_crossentropy.vl3d_torf_class_weighted_categorical_crossentropy(class_weight)

Author:

Alberto M. Esmoris Pena

TORF masked class-weighted categorical crossentropy.

Parameters:

class_weight (np.ndarray) – Per-class weight vector.

Returns:

Loss function (y_true, y_pred) -> scalar.

Return type:

callable

src.model.deeplearn.loss.torf_categorical_crossentropy.vl3d_torf_focal_categorical_crossentropy(gamma)

Author:

Alberto M. Esmoris Pena

TORF masked focal categorical crossentropy.

Parameters:

gamma (float) – Focal focusing parameter \(\gamma\).

Returns:

Loss function (y_true, y_pred) -> scalar.

Return type:

callable

src.model.deeplearn.loss.torf_categorical_crossentropy.vl3d_torf_class_weighted_focal_categorical_crossentropy(class_weight, gamma)

Author:

Alberto M. Esmoris Pena

TORF masked class-weighted focal categorical crossentropy.

Parameters:

• class_weight (np.ndarray) – Per-class weight vector.

• gamma (float) – Focal focusing parameter \(\gamma\).

Returns:

Loss function (y_true, y_pred) -> scalar.

Return type:

callable