Roych13

``` from sklearn.datasets import make_classification from stability_selection import RandomizedLogisticRegression from stability_selection import RandomizedLasso selector = RandomizedLogisticRegression(n_resampling=300, random_state=101) selector.fit(xTrain, yTrain) print('the selected features：%i' % sum(selector.get_support() != 0)) xTrainS = selector.transform(xTrain) xTestS...

how to solve the exception with "UnboundLocalError: local variable 'batch_index' referenced before assignment"

4

tensorflow: 1.14.0 keras: 2.2.5 when I run : model.fit(x, y, epochs=epochs, batch_size=batch_size, verbose=2, shuffle=False) and then catch the exception as below: UnboundLocalError: local variable 'batch_index' referenced before assignment I guess...

提供API接口

1

## 需求背景 前端使用字体时能否提供接口？ ## 解决方案 这样就不需要每次都下载字体再使用了。 ## 相关截图

local variable 'sentencepiece_model_pb2' referenced before assignment

2

python：3.8.10 GPU：RTX 4090 24GB OS：Ubuntu 18.04