Keras and Error: Setting an array element with a sequence

Question

I have a problem with the input of multiple data sources in my neural network. My dataframe is:

                           0  1  2                   3   4  
0            


        

Answer 1

First of all, convert the input array into numpy array and convert the categorical boolean inputs into numbers. Then, give input dimension = 8 instead of 4.

Answer 2

The list inside the numpy array needs to be flattened before insertion.

array is [[False, False, True], 4, -10, [False, True, False], 1] in the OP implementation,

and should be flattened to [False, False, True, 4, -10, False, True, False, 1].

Here is a working jupyter notebook demonstrating this.

Answer 3

You are trying to input 2 different types of data to the neuron of a neural network. Neural networks isn't a magical box to throw random information into it and expect it to give a reasonable output.

NN's take only numbers as input. When you flatten your data

[False, False, True, 4, -10, False, True, False, 1] to this format, what you are effectively doing is converting it into this [0,0,1,4,-10,0,1,0,1].

I am not really sure what you want from this data but, if you want only 5 features, you can take the majority outcome for those with binary values.

arr = [[False, False, True], 4, -10, [False, True, False], 1]

can be converted to

arr = [False,4,-10,False,1]

which effectively means your input is

arr=[0,4,-10,0,1]

But, before you do this, be sure what you're trying to do makes sense. You need to be able to answer questions like "what does each value represent?", "do i need to normalize the data?", "Would True/False in this dataset make sense?".