목록univariate (2)

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[ML] LSTM - Univariate LSTM Models

GITHUB https://github.com/yiwonjae/Project_Lotto/blob/master/Book_001/p127_LSTM.py 0. 목표 ''' data [10, 20, 30, 40, 50, 60, 70, 80, 90] X(input), y(output) 10, 20, 30, 40 20, 30, 40, 50 30, 40, 50, 60 ''' 1. DATA raw_seq = np.asarray([10, 20, 30, 40, 50, 60, 70, 80, 90]) 2. DATA 정제 X import numpy as np from numpy import ndarray def split_sequence(sequence:ndarray, n_steps:int)->(ndarray, ndarray)..
공부/Python 2020. 2. 16. 17:32
[ML] Univariate CNN Models

GITHUB https://github.com/yiwonjae/Project_Lotto/blob/master/Book_001/p091.py 0. 목표 연속된 하나의 sequcence에서 다음 하나의(univariate) 값을 예측한다. data : [10, 20, 30, 40, 50, 60, 70, 80, 90] x y 10 20 30 40 20 30 40 50 30 40 50 60 1. DATA raw_seq = [10, 20, 30, 40, 50, 60, 70, 80, 90] n_steps = 3 2. DATA 정제 X def splite_sequence(sequence:list, n_steps:int)->(ndarray, ndarray): x, y = [], [] for i in range(len(..
공부/Python 2020. 2. 15. 10:43
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