从树解释器返回的 SHAP 值为.shap_values(some_data)XGB 提供了与随机森林不同的维度/结果。我尝试过研究它,但似乎找不到原因或方式,也找不到斯伦德伯格(SHAP dude)教程中的解释。所以:
下面是一些示例代码!
import xgboost.sklearn as xgb
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
import shap
bc = load_breast_cancer()
cancer_df = pd.DataFrame(bc['data'], columns=bc['feature_names'])
cancer_df['target'] = bc['target']
cancer_df = cancer_df.iloc[0:50, :]
target = cancer_df['target']
cancer_df.drop(['target'], inplace=True, axis=1)
X_train, X_test, y_train, y_test = train_test_split(cancer_df, target, test_size=0.33, random_state = 42)
xg = xgb.XGBClassifier()
xg.fit(X_train, y_train)
rf = RandomForestClassifier()
rf.fit(X_train, y_train)
xg_pred = xg.predict(X_test)
rf_pred = …Run Code Online (Sandbox Code Playgroud) 如果之前有人问过这个问题,我很抱歉,但我还没有找到任何可以帮助我的东西,而且我是 React 新手!
n我想要一个值随着用户按住按钮的每秒数而增加。现在它只是每 35 毫秒线性增加一次!
到目前为止我有这样的事情:
function Increaser() {
const [value, setValue] = useState(0);
const changeTimer: React.MutableRefObject<any> = useRef(null);
function timeoutClearUp() {
clearInterval(changeTimer.current);
}
function increment() {
changeTimer.current = setInterval(() => setValue(prev => prev + 1), 35);
};
function onChange(e: any) {
setValue(parseInt(e.target.value));
}
return (
<div>
<button onMouseUp={timeoutClearUp} onMouseDown={increment}>INCREASE</button>
<input
type="number"
value={value}
onChange={(e) => {onChange(e)}}
/>
</div>
);
}
Run Code Online (Sandbox Code Playgroud)
我尝试过添加另一个ref,但似乎不起作用!我可以在这段代码中添加一个小东西,以确保每秒value都会增加一个越来越大的值(用户按住按钮的时间越长)。
非常感谢!