如何评估使用样本序列分类cod训练的CNTK模型

Question

我使用https://github.com/Microsoft/CNTK/blob/v2.0/Examples/SequenceClassification/SimpleExample/Python/SequenceClassification.py中给出的代码来训练模型。我如何评价它？在

Answer 1

我是通过以下方式得到的：

import cntk as C
from cntk.ops.functions import load_model # Note this
...
...
# saved the model after epochs
for i in range(500):
    mb = reader.next_minibatch(minibatch_size, input_map=input_map)
    trainer.train_minibatch(mb)
    classifier_output.save("model.dnn") # Note this
...
...
# loading the model
model = load_model("model.dnn") # Note this

# converted sentence to numbers and given as sequence
predScores = model(C.Value.one_hot([[1,238,4,4990,7223,1357,2]], 50466)) # Note this
predClass = np.argmax(predScores)
print(predClass)

其中[[1,238,4,4990,7223,1357,2]]是词汇索引的序列（基本上是训练所依据的序列，50466是词汇的大小。在