import xgboost import shap import matplotlib.pyplot as pl X,y = shap.datasets.iris() model = xgboost.XGBClassifier(n_estimators=20, max_depth=10) model.fit(X, y) e = shap.TreeExplainer(model, X) shap_values = e.
问将`shap.summary_plot()`的渐变颜色更改为特定的2或3 RGB渐变调色板颜色EN最近有读者问我 bar3D 颜...
get_plot_commands()获取所有绘制命令的排序列表 ginput(*args,**kwargs)使输入签名 grid(b=None,which='major',axis='both',**kwargs)打开或关闭轴网格 hexbin(x,y,C=None,gridsize=100,bins=None,xscale='linear',yscale='linear',extent=None,cmap=None,norm=None,vmin=None,vmax=None,alpha=None,li...
上面使用Summary Plot方法并设置参数plot_type="bar"绘制典型的特征重要性条形图,而他默认绘制Summary_plot图,他是结合了特征重要性和特征效果,取代了条形图。 Summary_plot 为每一个样本绘制其每个特征的Shapley value,它说明哪些特征最重要,以及它们对数据集的影响范围。 y 轴上的位置由特征确定,x 轴上的位置由...
CMap database (from L1000). We focus only on CMap Touchstone dataset, which contains gene expression patterns from nine cell lines treated with ~3000 well-annotated small-molecule drugs. To link disease to drug-induced states, CMap computes aτscore using the cell line that closely resembles ...
After configuring your plot, you must useplt.show()to make it visible Plotting 1D Data For more advanced box plots, starthere 2D Data Suggestions? Saving plots Customization Color Markers(seeexamples) Lines Text Limits, Legends/Labels , Layout ...
cmap = redbluecmap(9); cg = clustergram(TNDiffExprSet.expressions,'Colormap',cmap,'Standardize',2); addTitle(cg,'Hierarchical Gene Clustering') Clustering of the most differentially abundant transcripts clearly partitions teratozoospermic (Tz) and normospermic (Ns) spermatozoal RNAs. ...
ax.plot_surface(X, Y, Z, cmap='viridis') # SGD迭代更新参数 eta = 0.1 theta = np.array([0, 0]) num_iterations = 100 for i in range(num_iterations): gradient_value = gradient(theta[0], theta[1]) theta = theta - eta * gradient_value ...
问将`shap.summary_plot()`的渐变颜色更改为特定的2或3 RGB渐变调色板颜色EN最近有读者问我 bar3D ...