RC-ELM cannot predict more than one test instance

[FabianoVeglianti]

In the RC-ELM.py file you provided you used a single test instance to test the RCELMModel implementation, but things go wrong as soon as you use more than one test instance.

In the following code I just replicated 3 times the single test instance you provided and I check for the same number of features in the train and testing batch of data

X_test = np.array([[0, 0.455, 0.365, 0.095, 0.514, 0.2245, 0.101, 0.15],[0, 0.455, 0.365, 0.095, 0.514, 0.2245, 0.101, 0.15],[0, 0.455, 0.365, 0.095, 0.514, 0.2245, 0.101, 0.15]])
X_test = X_test.reshape(3, -1)
print(X.shape)
print(X_test.shape)

This is the error:

(4176, 8)
(3, 8)
...
tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__Mul_device_/job:localhost/replica:0/task:0/device:CPU:0}} Incompatible shapes: [2,4176,1] vs. [2,3,1] [Op:Mul] name:

I suspect there is a problem in how the model handles the lambdas...