摘要：import numpy as np from matplotlib import pyplot as plt from mpl_toolkits.mplot3d import Axes3D from sklearn.neural_network import MLPClassifier def creat_data(n): ''' 创建线性可分数据集 :para... 阅读全文

摘要：import numpy as np from matplotlib import pyplot as plt from sklearn.neural_network import MLPClassifier def creat_data_no_linear_2d(n): ''' 创建二维的线性不可分数据集 :param n: 负例的数量 :return:... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import datasets, linear_model,svm from sklearn.model_selection import train_test_split def load_data_regression(): ''' 加载用于回归... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import datasets, linear_model,svm from sklearn.model_selection import train_test_split def load_data_regression(): ''' 加载用于回归... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import datasets, linear_model,svm from sklearn.model_selection import train_test_split def load_data_classfication(): ''' 加载用... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import datasets, linear_model,svm from sklearn.model_selection import train_test_split def load_data_classfication(): ''' 加载用... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import mixture from sklearn.metrics import adjusted_rand_score from sklearn.datasets.samples_generator import make_blobs def create_d... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import cluster from sklearn.metrics import adjusted_rand_score from sklearn.datasets.samples_generator import make_blobs def create_... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import cluster from sklearn.metrics import adjusted_rand_score from sklearn.datasets.samples_generator import make_blobs def create_... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import cluster from sklearn.metrics import adjusted_rand_score from sklearn.datasets.samples_generator import make_blobs def create_... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn.datasets.samples_generator import make_blobs def create_data(centers,num=100,std=0.7): ''' 生成用于聚类的数据集 :param centers: 聚类... 阅读全文

摘要：# -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt from sklearn import datasets,manifold def load_data(): ''' 加载用于降维的数据 ''' # 使用 scikit-learn 自带的 iris 数据集 ... 阅读全文

摘要：# -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt from sklearn import datasets,manifold def load_data(): ''' 加载用于降维的数据 ''' # 使用 scikit-learn 自带的 iris 数据集 ... 阅读全文

摘要：# -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt from sklearn import datasets,manifold def load_data(): ''' 加载用于降维的数据 ''' # 使用 scikit-learn 自带的 iris 数据集 ... 阅读全文

摘要：................... .................... 阅读全文

摘要：# -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt from sklearn import datasets,decomposition def load_data(): ''' 加载用于降维的数据 ''' # 使用 scikit-learn 自带的 iris ... 阅读全文

摘要：# -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt from sklearn import datasets,decomposition def load_data(): ''' 加载用于降维的数据 ''' # 使用 scikit-learn 自带的 iris ... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import neighbors, datasets from sklearn.model_selection import train_test_split def create_regression_data(n): ''' 创建回归模型使用的数... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import neighbors, datasets from sklearn.model_selection import train_test_split def load_classification_data(): # 使用 scikit-learn... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn import datasets,naive_bayes from sklearn.model_selection import train_test_split # 加载 scikit-learn 自带的 digits 数据集 def load_data(): ... 阅读全文