tfidf_Train和features_Train是包含浮点数的列表的列表，即[[0.14，0.22 ...]，[0.52,0.34]] 我尝试使用np.asarray（）将变量转换为np数组，但是在拟合模型时，代码下方仍然出现错误。感谢任何帮助。

    inp = Input(shape=(sen_Len,))
    embed = Embedding(len(term_Index)+1,emb_Dim,weights=[emb_Mat],input_length=sen_Len,trainable=False)(inp)
    emb_input = LSTM(60,dropout=0.1,recurrent_dropout=0.1)(embed)
    tfidf_i = Input(shape=(1,))
    conc = concatenate()([emb_input,tfidf_i])
    drop = Dropout(0.2)(conc)
    dens = Dense(2)(drop)
    acti = activation('sigmoid')(dens)

    model = Model([inp,tfidf_i],acti)

    model.compile(optimizer='adam',loss='binary_crossentropy',metrics = 
    ['accuracy'])

    history = model.fit([features_Train,tfidf_Train],target_Train,epochs = 50,batch_size=128,validation_split=0.2)

错误：

    x = _process_numpy_inputs(x)
    File "/home/stud/henrikm/anaconda3/lib/python3.7/site- 
    packages/tensorflow_core/python/keras/engine/data_adapter.py",line 1048,in 
    _process_numpy_inputs
    inputs = nest.map_structure(_convert_non_tensor,inputs)
    File "/home/stud/henrikm/anaconda3/lib/python3.7/site- 
    packages/tensorflow_core/python/util/nest.py",line 568,in map_structure
    structure[0],[func(*x) for x in entries],File "/home/stud/henrikm/anaconda3/lib/python3.7/site- 
    packages/tensorflow_core/python/util/nest.py",in <listcomp>
    structure[0],File "/home/stud/henrikm/anaconda3/lib/python3.7/site- 
    packages/tensorflow_core/python/keras/engine/data_adapter.py",line 1045,in 
    _convert_non_tensor
    return ops.convert_to_tensor(x)
    File "/home/stud/henrikm/anaconda3/lib/python3.7/site- 
    packages/tensorflow_core/python/framework/ops.py",line 1314,in convert_to_tensor
    ret = conversion_func(value,dtype=dtype,name=name,as_ref=as_ref)
    File "/home/stud/henrikm/anaconda3/lib/python3.7/site- 
    packages/tensorflow_core/python/framework/tensor_conversion_registry.py",line 52,in _default_conversion_function
    return constant_op.constant(value,dtype,name=name)
    File "/home/stud/henrikm/anaconda3/lib/python3.7/site- 
    packages/tensorflow_core/python/framework/constant_op.py",line 258,in constant
    allow_broadcast=True)
    File "/home/stud/henrikm/anaconda3/lib/python3.7/site- 
    packages/tensorflow_core/python/framework/constant_op.py",line 266,in 
    _constant_impl
    t = convert_to_eager_tensor(value,ctx,dtype)
    File "/home/stud/henrikm/anaconda3/lib/python3.7/site- 
    packages/tensorflow_core/python/framework/constant_op.py",line 96,in 
    convert_to_eager_tensor
    return ops.Eagertensor(value,ctx.device_name,dtype)
    ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type 
    numpy.ndarray).