import random 表示引入的是random模块或者说random.py文件,那么自然random里的类都可以使用。使用方式 random.randint(0, last_pos) 1. 而from random import randint 表示将random中randint函数导入,在使用时直接使用即可。但如果要使用该py文件中的其他类或者函数就需要重新导入。 randint(0,last_pos) 1. 总的来...
X_train, X_test, y_train, y_test = train_test_split(cancer.data, cancer.target, random_state=1) rf = RandomForestClassifier(n_estimators=100, random_state=1)rf.fit(X_train, y_train) baseline = rf.score(X_test, y_test)result = permutation_importance(rf, X_test, y_test, n_repea...
基于NDVI(植被指数)、纹理特征等构建分类模型: python from sklearn.ensemble import RandomForestClassifierndvi = (nir_band - red_band) / (nir_band + red_band) # 计算植被指数features = np.stack([ndvi, texture], axis=-1)model = RandomForestClassifier().fit(features, labels) # 土地分类 2. ...
svm=LazyImport("from sklearn import svm") GradientBoostingClassifier=LazyImport( "from sklearn.ensemble import GradientBoostingClassifier" ) GradientBoostingRegressor=LazyImport( "from sklearn.ensemble import GradientBoostingRegressor" ) RandomForestClassifier=LazyImport( "from sklearn.ensemble import Random...
GradientBoostingClassifier=LazyImport("from sklearn.ensemble import GradientBoostingClassifier")GradientBoostingRegressor=LazyImport("from sklearn.ensemble import GradientBoostingRegressor")RandomForestClassifier=LazyImport("from sklearn.ensemble import RandomForestClassifier")RandomForestRegressor=LazyImport("from ...
How to import a random forest regression model... Learn more about simulink, python, sklearn, scikit-learn, random forest regression, model, regression model, regression
clf2 = RandomForestClassifier(n_estimators=50, random_state=1) clf3 = GaussianNB() ensemble_clf = VotingClassifier(estimators=[('lr', clf1), ('rf', clf2), ('gnb',clf3)], voting='hard')forclf, labelinzip([clf1, clf2, clf3, ensemble_clf], ['Logistic Regression','Random Forest'...
._forest import RandomForestClassifier9from._forestimportRandomForestRegressor10from._forestimportRandomTreesEmbedding ~/anaconda3/lib/python3.6/site-packages/sklearn/ensemble/_forest.py in <module>54from..metricsimportr2_score55from..preprocessingimportOneHotEncoder ---> 56 from ..tree import (...
滚动轴承状态监测与故障诊断 | 本项目采用Python编程语言,jupyter notebook文本编辑器,使用的部分模块如下: import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns from sklearn.neural_network import MLPClassifier ...
(self.model, 'feature_importances_') except: check_feature_importance = True if self.model is None: if self.classification: self.model = RandomForestClassifier() else: self.model = RandomForestRegressor() elif check_fit is False and check_predict_proba is False: raise AttributeError('Model ...