模型保存
BP:model.save(save_dir)
SVM:
from sklearn.externals import joblib joblib.dump(clf, save_dir)
模型调用:
BP:
from keras.models import load_model model = load_model(open_dir)
SVM:
from sklearn.externals import joblib model = joblib.load(open_dir)
模型保存
BP:model.save(save_dir)
SVM:
from sklearn.externals import joblib joblib.dump(clf, save_dir)
模型调用:
BP:
from keras.models import load_model model = load_model(open_dir)
SVM:
from sklearn.externals import joblib model = joblib.load(open_dir)