Error when checking model input: expected lstm_1_input to have 3 dimensions, but got array with shape (339732, 29)

Question

My input is simply a csv file with 339732 rows and two columns :

• the first being 29 feature values, i.e. X
• the second being a binary label value, i.e.

Answer 1

Setting timesteps = 1 (since, I want one timestep for each instance) and reshaping the X_train and X_test as:

import numpy as np
X_train = np.reshape(X_train, (X_train.shape[0], 1, X_train.shape[1]))
X_test = np.reshape(X_test, (X_test.shape[0], 1, X_test.shape[1]))

This worked!