# 需要导入模块: from sklearn import datasets [as 别名]# 或者: from sklearn.datasets importload_breast_cancer[as 别名]defmain():dataset = datasets.load_breast_cancer() features = dataset.data labels = dataset.target num_features = features.shape[1] features = StandardScaler().fit_transform(f...
开发者ID:Se7enZHOU,项目名称:LightGBM,代码行数:8,代码来源:test_sklearn.py 示例10: main ▲点赞 1▼ defmain(arguments):# load the features of the datasetfeatures = datasets.load_breast_cancer().data# standardize the featuresfeatures = StandardScaler().fit_transform(features)# get the number of...
Python 数据集:乳腺癌数据集(from sklearn.datasets import load_breast_cancer)。 数据集:乳腺癌数据集(from sklearn.datasets import load_breast_cancer)。 (1)将样本集划分为70%的训练集,30%作为测试集,分别用逻辑回归算法和KNN算法(需要先对数据进行标准化)建模(不指定参数),输出其测试结果的混淆矩阵,计算...
To illustrate k-means clustering in action, we'll use the familiar U.S. Department of Agriculture National Nutrient Database for Standard Reference dataset that you used in sections 1.1 through 1.3. Note that the path name is case sensitive.Python Copy ...
from sklearn.datasets import load_breast_cancer, load_diabetes from statsmodels.stats.multitest import multipletests from sklearn.model_selection import train_test_split from sklearn.preprocessing import MinMaxScaler from sklearn.cluster import KMeans from scipy.sparse import issparse from scipy.stats imp...
Describe the bug When trying to load the dataset I get an error. Steps/Code to Reproduce from sklearn.datasets import fetch_california_housing from sklearn.model_selection import train_test_split from sklearn.preprocessing import Standar...
def breastcancer_cont(replication=2): f = open(path + "breast_cancer_wisconsin_cont.txt", "r") data = np.loadtxt(f, delimiter=",", dtype=np.string0) x_train = np.array(data[:, range(0, 9)]) y_train = np.array(data[:, 9]) for j in range(replication - 1): x_train ...
示例12: get_sample_dataset ▲點讚 5▼ # 需要導入模塊: from sklearn import datasets [as 別名]# 或者: from sklearn.datasets importload_diabetes[as 別名]defget_sample_dataset(dataset_properties):"""Returns sample dataset Args: dataset_properties (dict): Dictionary corresponding to the properties...
开发者ID:allefpablo,项目名称:scikit-learn,代码行数:101,代码来源:test_pls.py 示例15: zip ▲点赞 1▼ # coding=utf-8fromsklearnimportdatasetsimportnumpyasnpimportmatplotlib.pyplotasplt d1 = datasets.load_iris()#d2 = datasets.load_breast_cancer()#乳腺癌数据d3 = datasets.load_digits()#手写...
# 需要导入模块: import numpy [as 别名]# 或者: from numpy importloadtxt[as 别名]defbreastcancer_cont(replication=2):f = open(path +"breast_cancer_wisconsin_cont.txt","r") data = np.loadtxt(f, delimiter=",", dtype=np.string0) ...