Hello
Thanks for sharing your program,

I want to run "stock_pred_main.py" but It displays the following error:

 can't find '__main__' module 

what should I do?

Regards
ARZ

Im getting this Value error:
Attempt to convert a value (1.0) with an unsupported type (<class 'numpy.float32'>) to a Tensor.

And then I changed the numpy array to a tensor and that issue was resolved.
But I get this error now:
If your data is in the form of symbolic tensors, you should specify the steps_per_epoch argument (instead of the batch_size argument, because symbolic tensors are expected to produce batches of input data).

Do you have any inputs on this?
Thank you in advance

In the code

# scale the feature MinMax, build array
x = df_train.loc[:,train_cols].values
min_max_scaler = MinMaxScaler()
x_train = min_max_scaler.fit_transform(x)
x_test = min_max_scaler.transform(df_test.loc[:,train_cols])

You are scaling the min/max from the train values and then fitting the test. What if the maximum value of X is higher in test vs train? How will it work in x_test after the transformation? The value will be more than 1 for the maximum X in test set which was higher than Xmas in train ?

Thanks
Mudit

Hi thanks for the brilliant work. I want to know what should ı do for forecasting the future. I tried bunch of things yet I could not achieve it. Thanks already.

Hellow,
I am totaly unaware of python and programs, but interseted in testing such algorthms, Can you please write tutorial how do i can run this program with google colab