Question

我正在尝试初始化参数，但出现“ init （）出现意外的关键字参数范围”的错误

我正在使用keras进行神经协作过滤，无法初始化我的参数。

import theano
import theano.tensor as T
import keras
from keras import backend as K
from keras import initializers
from keras.regularizers import l1, l2, l1_l2
from keras.models import Sequential, Model
from keras.layers.core import Dense, Lambda, Activation
from keras.layers import Embedding, Input, Dense, merge, Reshape, Merge, Flatten, Dropout
from keras.optimizers import Adagrad, Adam, SGD, RMSprop
from evaluate import evaluate_model
from Dataset import Dataset
from time import time
import sys
import GMF, MLP
import argparse

#################### Arguments ####################
def parse_args():
    parser = argparse.ArgumentParser(description="Run NeuMF.")
    parser.add_argument('--path', nargs='?', default='Data/',
                        help='Input data path.')
    parser.add_argument('--dataset', nargs='?', default='ml-1m',
                        help='Choose a dataset.')
    parser.add_argument('--epochs', type=int, default=100,
                        help='Number of epochs.')
    parser.add_argument('--batch_size', type=int, default=256,
                        help='Batch size.')
    parser.add_argument('--num_factors', type=int, default=8,
                        help='Embedding size of MF model.')
    parser.add_argument('--layers', nargs='?', default='[64,32,16,8]',
                        help="MLP layers. Note that the first layer is the concatenation of user and item embeddings. So layers[0]/2 is the embedding size.")
    parser.add_argument('--reg_mf', type=float, default=0,
                        help='Regularization for MF embeddings.')                    
    parser.add_argument('--reg_layers', nargs='?', default='[0,0,0,0]',
                        help="Regularization for each MLP layer. reg_layers[0] is the regularization for embeddings.")
    parser.add_argument('--num_neg', type=int, default=4,
                        help='Number of negative instances to pair with a positive instance.')
    parser.add_argument('--lr', type=float, default=0.001,
                        help='Learning rate.')
    parser.add_argument('--learner', nargs='?', default='adam',
                        help='Specify an optimizer: adagrad, adam, rmsprop, sgd')
    parser.add_argument('--verbose', type=int, default=1,
                        help='Show performance per X iterations')
    parser.add_argument('--out', type=int, default=1,
                        help='Whether to save the trained model.')
    parser.add_argument('--mf_pretrain', nargs='?', default='',
                        help='Specify the pretrain model file for MF part. If empty, no pretrain will be used')
    parser.add_argument('--mlp_pretrain', nargs='?', default='',
                        help='Specify the pretrain model file for MLP part. If empty, no pretrain will be used')
    return parser.parse_args()

def init_normal(shape, name=None):
    return initializers.normal(shape, scale=0.01, name=name)

错误：

TypeError： init （）获得了意外的关键字参数'scale'

Answer 1

initializers.normal不包含参数name和scale。只有1个}}。

Keras无法初始化

1 个答案: