Name 'LSTM' is not defined

I’m making a simple LSTM model, but I’m having issues with the model function

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import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from tensorflow import keras

from hyperopt import Trials, STATUS_OK, tpe
from hyperas import optim
from hyperas.distributions import choice, uniform

from keras.layers.core import Dense, Dropout
from keras.layers.recurrent import LSTM
from keras.models import Sequential

def create_model(x_train, y_train, x_test, y_test):
    from keras.layers.core import Dense, Dropout
    from keras.layers.recurrent import LSTM
    
    model = Sequential()
    model.add(LSTM( {{choice([512, 1024, 2048])}} , input_shape=(14,1)))
    
    if {{choice(["dropout", "none"])}} == "dropout":
        model.add(Dropout({{uniform(0, 1)}}))
    
    model.add(Dense(1))
    model.compile(optimizer={{choice(['adam', 'adagrad', 'rmsprop'])}},loss='mse', metrics=['rmse'])
    x_train = x_train.reshape((x_train.shape[0],x_train.shape[1],1))
    x_test = x_test.reshape((x_test.shape[0],x_test.shape[1],1))
    
    model.fit(X_train,y_train,epochs=20,validation_data=(X_test,y_test),shuffle=False)
    score, err = model.evaluate(x_test, y_test, verbose=0)
    print('Test accuracy:', err)
    return {'loss': err, 'status': STATUS_OK, 'model': model}

But I keep getting the error: “Name ‘LSTM’ is not defined” When I try to run the optimizer. I looked at the LSTM examples and I do not seem to be doing much different from them, besides defining an input_shape. But if the input_shape is the problem, how would I be able to run my LSTM with this input? Thanks

[maxpumperla]

one of the main reasons I advocate against notebooks btw.

[maxpumperla]

@JohnnyUrosevic so I see from your notebook cell that you import this

from keras.layers.core import Dense, Dropout
from keras.layers.recurrent import LSTM

but the hyperas output file says

try:
    from keras.layers.core import Dense, Dropout, Activation
except:
    pass

this does not align at all. Hyperas can’t magically add Activation at the end for you. This means your notebook cell execution order is off (most likely).