摘要： from sklearn.preprocessing import Binarizer #数据预处理二元化Binarizer模型 def test_Binarizer(): X=[[1,2,3,4,5], [5,4,3,2,1], [3,3,3,3,3,], [1,1,1,1,1]] print("before tra... 阅读全文

摘要： import numpy as np import matplotlib.pyplot as plt from sklearn import datasets,ensemble from sklearn.model_selection import train_test_split def load_data_regression(): ''' 加载用于回归问题的数据集 ... 阅读全文

摘要： import numpy as np import matplotlib.pyplot as plt from sklearn import datasets,ensemble from sklearn.model_selection import train_test_split def load_data_classification(): ''' 加载用于分类问题的数据... 阅读全文

摘要： import numpy as np import matplotlib.pyplot as plt from sklearn import datasets,ensemble from sklearn.model_selection import train_test_split def load_data_regression(): ''' 加载用于回归问题的数据集 ... 阅读全文

摘要： import numpy as np import matplotlib.pyplot as plt from sklearn import datasets,ensemble from sklearn.model_selection import train_test_split def load_data_classification(): ''' 加载用于分类问题的数据... 阅读全文

摘要： import numpy as np import matplotlib.pyplot as plt from sklearn import datasets,ensemble from sklearn.model_selection import train_test_split def load_data_classification(): ''' 加载用于分类问题的数据... 阅读全文

摘要： import numpy as np import matplotlib.pyplot as plt from sklearn import datasets,ensemble from sklearn.model_selection import train_test_split def load_data_classification(): ''' 加载用于分类问题的数据... 阅读全文

摘要： import numpy as np import matplotlib.pyplot as plt from sklearn import metrics from sklearn import datasets from sklearn.semi_supervised.label_propagation import LabelSpreading def load_data(): ... 阅读全文

摘要： import numpy as np import matplotlib.pyplot as plt from sklearn import metrics from sklearn import datasets from sklearn.semi_supervised import LabelPropagation def load_data(): ''' 加载数据集 ... 阅读全文

摘要： import numpy as np from matplotlib import pyplot as plt from sklearn import neighbors, datasets from matplotlib.colors import ListedColormap from sklearn.neural_network import MLPClassifier ## 加载数... 阅读全文