君子不器

Tensorflow版本 Keras版本Tensorflow 2.1Tensorflow 2.0Tensorflow 1.15 Keras 2.3.1Tensorflow 1.14 Keras 2.2.5Tensorflow 1.13Tensorflow 1.12Tensorflow 1.11 Keras 2.2.4Tensorflow 1.10Tensorflow 1.9 Keras 2.2.0Tensorflow 1.8Tensorflow 1.7Tensorflow 1.5 K

1. 这是整个项目的文件结构2. 配置文件 config.py# data_provider: data_power_consumptionpath_to_dataset = '../data/household_power_consumption.txt'sequence_length = 50ratio= 0.5epochs = 1save_path = "../model...

Traceback (most recent call last):File “airline_model.py”, line 4, in from sklearn.preprocessing import MinMaxScalerImportError: No module named ‘sklearn’原来是需要安装：scikit-learn包！！！之前一直在找sklearn这个包。。...

import osos.environ[“CUDA_VISIBLE_DEVICES”] = “0, 1”

1. project的文件基本结构2. project配置文件config.pypath_to_dataset = '../my_data/international-airline-passengers.csv'split_rate = 0.9infer_seq_length = 10 # 用于推断的历史序列长度epochs = 100validation_split=0.1...

1.to_categorical的功能简单来说，to_categorical就是将类别向量转换为二进制（只有0和1）的矩阵类型表示。其表现为将原有的类别向量转换为独热编码的形式。先上代码看一下效果：from keras.utils.np_utils import *#类别向量定义b = [0,1,2,3,4,5,6,7,8]#调用to_categorical将b按照9个类别来进行转换b...

# import numpy as np# from sklearn.model_selection import KFold,StratifiedKFold# X=np.array([# [1,2,3,4],# [11,12,13,14],# [21,22,23,24],# [31,32,33,34],# [41,42,43,44],# ...

import pandas as pddef read_data(file_path): str = "" temp_dict = {} with open(file_path, 'r', encoding='utf-8-sig') as f: for idx, line in enumerate(f): if idx &gt...