FastText简单实践

fastText原理和文本分类实战

https://blog.csdn.net/feilong_csdn/article/details/88655927

 

 Python interface 

https://github.com/salestock/fastText.py

 

import fasttext

root_path = "/Users/documents/"

train_file = root_path + "target.train"
valid_file = root_path + "target.valid"

model_save_path = root_path + "model_py"
def showResult(classifier, valid_file):
	result = classifier.test(valid_file)
	print("Number of examples:", result[0])
	print("P@1:", result[1])
	print("R@1:", result[2])
	

classifier = fasttext.train_supervised(input=train_file, epoch=15)
#classifier.save_model(model_save_path)


#classifier = fasttext.load_model(model_save_path)
showResult(classifier, valid_file)
result = classifier.predict("股票失败")
print(result)

 

来源：CSDN

作者：jingyi130705008

链接：https://blog.csdn.net/jingyi130705008/article/details/104008780