model = LinearRegression() model.fit(x_train,y_train) #模型评分(即准确率) print('准确率:',model.score(x_test,y_test)) 1. 2. 3. 4. 5. 6. 看下我们的回归线 plt.plot(x_train,y_train,'b.') plt.plot(x_train,model.predict(x_train),'r') plt.xlabel('相关分数',fontproperties=...
现在,我们将创建一个类来定义 Logistic 回归的体系结构。 class LogisticRegression(torch.nn.Module): def __init__(self, input_dim, output_dim): super(LogisticRegression, self).__init__() self.linear = torch.nn.Linear(input_dim, output_dim) def forward(self, x): outputs = self.linear(x)...
问Python线性回归: plt.plot()不显示直线。相反，它连接散点图上的每个点EN数据科学的一个重要方面，...
python中利用scipy.stats.percentileofscore函数可以轻松计算上诉所需的百分位数;而利用numpy.polyfit函数和sklearn.linear_model.LinearRegression类可以用来拟合样本点的回归曲线 fromscipy.statsimportpercentileofscorefromsklearn.linear_modelimportLinearRegressionimportpandasaspdimportmatplotlib.pyplotasplt# df_samp, df_c...
PlotModel? plotModel;将plotModel设置为全局变量。// 创建 PlotModel plotModel = new PlotModel() { Title = "散点图" }; plotModel.Series.Add(scatterSeries); // 将 PlotModel 设置到 PlotView plotView1.Model = plotModel;这样就成功绘制了散点图,效果如下所示:...
Series.Add(lineSeries); // 为图表添加标题 if (plotModel != null) { plotModel.Title = $"拟合的直线 y = {m:0.00}x + {b:0.00}"; } // 刷新 PlotView plotView1.InvalidatePlot(true); } } } 用Python实现最小二乘法✨ import numpy as np import matplotlib.pyplot as plt...
explainer = shap.Explainer(model) shap_values = explainer(X_train) shap.plots.waterfall(shap_values[1]) # or any random value How to get the SHAP values of each feature?, import numpy as np import pandas as pd from sklearn.linear_model import LinearRegression from sklearn.datasets import...
usingNumSharp;usingOxyPlot.Series;usingOxyPlot;namespaceOlsRegressionDemoUsingWinform{publicpartialclassForm1:Form{NDArray?x,y;PlotModel?plotModel;publicForm1(){InitializeComponent();}privatevoidbutton1_Click(objectsender,EventArgse){//使用NumSharp创建线性回归的数据集x=np.arange(0,10,0.2);y=2*x+3+...
python from sklearn.metrics import roc_curve from sklearn.datasets import make_classification from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier from sklearn.linear_model import LogisticRegression import matplotlib.pyplot as plt...
代码运行次数:0 #-*-coding:utf-8-*-#/usr/bin/python''' @Author:Errol @Describe:@Evn:@Date:-'''importmatplotlib.pyplotasplt from sklearnimportdatasets from sklearn.model_selectionimporttrain_test_split from sklearn.metricsimportaccuracy_score ...