siafahim / lstm-crypto-predictor Goto Github PK
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Predicting cryptocurrency price using RNN-LSTM networks
Hello, I'm new to LSTM. I don't know the two of the following.
def create_inputs(data, coins=['BTC', 'ETH'], window_len=7):
norm_cols = [coin + metric for coin in coins for metric in ['_Close**', '_Volume']]
inputs = []
for i in range(len(data) - window_len): # WHAT IS THE MEANING?
temp_set = data[i:(i + window_len)].copy()
inputs.append(temp_set)
for col in norm_cols:
inputs[i].loc[:, col] = inputs[i].loc[:, col] / inputs[i].loc[:, col].iloc[0] - 1 # THE MEANING?
return inputs
Can you explain it to me?
How to show in the plot the next 2 days prediction?
in create_inputs function:
inputs[i].loc[:, col] = inputs[i].loc[:, col] / inputs[i].loc[:, col].iloc[0] - 1
TypeError: unsupported operand type(s) for /: 'str' and 'str'
when i run the prediction.py,it occurs key error,can u provide some tips on solving that,txs.
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