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

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

import numpy as npX_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!

For timesteps != 1, you can use the below function (adapted from here)

import numpy as npdef create_dataset(dataset, look_back=1):  dataX, dataY = [], []  for i in range(len(dataset)-look_back+1):    a = dataset[i:(i+look_back), :]    dataX.append(a)    dataY.append(dataset[i + look_back - 1, :])  return np.array(dataX), np.array(dataY)

Examples

X = np.reshape(range(30),(3,10)).transpose()array([[ 0, 10, 20],       [ 1, 11, 21],       [ 2, 12, 22],       [ 3, 13, 23],       [ 4, 14, 24],       [ 5, 15, 25],       [ 6, 16, 26],       [ 7, 17, 27],       [ 8, 18, 28],       [ 9, 19, 29]])create_dataset(X, look_back=1 )(array([[[ 0, 10, 20]],       [[ 1, 11, 21]],       [[ 2, 12, 22]],       [[ 3, 13, 23]],       [[ 4, 14, 24]],       [[ 5, 15, 25]],       [[ 6, 16, 26]],       [[ 7, 17, 27]],       [[ 8, 18, 28]],       [[ 9, 19, 29]]]),array([[ 0, 10, 20],       [ 1, 11, 21],       [ 2, 12, 22],       [ 3, 13, 23],       [ 4, 14, 24],       [ 5, 15, 25],       [ 6, 16, 26],       [ 7, 17, 27],       [ 8, 18, 28],       [ 9, 19, 29]]))create_dataset(X, look_back=3)(array([[[ 0, 10, 20],        [ 1, 11, 21],        [ 2, 12, 22]],       [[ 1, 11, 21],        [ 2, 12, 22],        [ 3, 13, 23]],       [[ 2, 12, 22],        [ 3, 13, 23],        [ 4, 14, 24]],       [[ 3, 13, 23],        [ 4, 14, 24],        [ 5, 15, 25]],       [[ 4, 14, 24],        [ 5, 15, 25],        [ 6, 16, 26]],       [[ 5, 15, 25],        [ 6, 16, 26],        [ 7, 17, 27]],       [[ 6, 16, 26],        [ 7, 17, 27],        [ 8, 18, 28]],       [[ 7, 17, 27],        [ 8, 18, 28],        [ 9, 19, 29]]]),array([[ 2, 12, 22],       [ 3, 13, 23],       [ 4, 14, 24],       [ 5, 15, 25],       [ 6, 16, 26],       [ 7, 17, 27],       [ 8, 18, 28],       [ 9, 19, 29]]))

Reshape input for LSTM:

X = array([[10, 20, 30], [40, 50, 60], [70, 80, 90]])X_train = X.reshape(1, 3, 3) # X.reshape(samples, timesteps, features)