Keras input shape error I am trying to load a Keras model and make predictions with it and run into a strange error. An minimal example is the following:

from keras import models
import numpy as np

model = models.load_model('model_4hiddenLayers_16unitsPerLayer_relu_learningRate0p0001.h5')
x = np.ones(36, dtype=float)
prediction = model.predict(x )


The model expects an input shape of (36,), which should be the shape of x, which I verified: 

print('x.shape={}'.format(x.shape) )


gives : 


  x.shape=(36,)


However when running this code I get the following error message:


  ValueError: Error when checking : expected batch_normalization_1_input to have shape (36,) but got array with shape (1,)


What am I missing here? Thanks for the help. 

Some additional info : I am using keras version 2.1.4 with TensorFlow as backend.
I figured out the issue. The "predict" function expects a batch of input arrays, so it expects x to have shape (n, 36) where n is the number of examples. After adding :

x = x.reshape( (1,36) )


the code works fine