索引

C | E | G | L | M | N | P | S | T | U | 內

C

construct() (mindspore_xai.tool.cv.OoDNet 方法)

E

evaluate() (mindspore_xai.benchmark.ClassSensitivity 方法)

G

get_train_parameters() (mindspore_xai.tool.cv.OoDNet 方法)

L

load_feat_stats() (mindspore_xai.explainer.LIMETabular 方法)

M

mindspore_xai.explainer.RISE (內置类)
mindspore_xai.explainer.RISEPlus (內置类)
mindspore_xai.explainer.SHAPGradient (內置类)
mindspore_xai.explainer.SHAPKernel (內置类)
mindspore_xai.tool.cv.OoDNet (內置类)
mindspore_xai.visual.cv.normalize_saliency()
- 內置函数
mindspore_xai.visual.cv.saliency_to_image()
- 內置函数
mindspore_xai.visual.cv.saliency_to_rgba()
- 內置函数

N

normalize() (mindspore_xai.explainer.PseudoLinearCoef 方法)

num_classes (mindspore_xai.tool.cv.OoDNet property)

P

plot() (mindspore_xai.explainer.PseudoLinearCoef 方法)

prepare_train() (mindspore_xai.tool.cv.OoDNet 方法)

S

save_feat_stats() (mindspore_xai.explainer.LIMETabular 方法)

set_train() (mindspore_xai.tool.cv.OoDNet 方法)

T

to_feat_stats() (mindspore_xai.explainer.LIMETabular 方法)

train() (mindspore_xai.tool.cv.OoDNet 方法)

U

underlying (mindspore_xai.tool.cv.OoDNet property)

內

內置函数