score2 = r2_score(y_test, clf.predict(X_test)) assert_almost_equal(score1, score2) 开发者ID:PacktPublishing,项目名称:Mastering-Elasticsearch-7.0,代码行数:12,代码来源:test_score_objects.py 示例2: test_thresholded_scorers_multilabel_indicator_data ▲点赞 5▼ # 需要导入模块: from sklearn im...
"""fromsklearn.metricsimportmake_scorer,get_scorer# If scoring is None (default), the predictions are internally# generated by estimator.score(). Else, we must first get the# predictions based on the scorer.ifscoringisNone:returnNoneelifisinstance(scoring, str):returnget_scorer(scoring)else:ret...
from sklearn.ensemble import RandomForestRegressor rf = RandomForestRegressor() #fitting the model rf.fit(x_train,y_train) pred = rf.predict(x_test) #calculating r2 score from sklearn.metrics import r2_score r2_score(y_test, pred) random forest regressor Decision Tree Regressor: In order t...
import seaborn as sns from sklearn.datasets import make_regression from sklearn.model_selection import train_test_split from sklearn.metrics import mean_squared_error, r2_score import lightgbm as lgb import xgboost as xgb from sklearn.ensemble import GradientBoostingRegressor, AdaBoostRegressor from ...
File ~/Documents/o2_ml_2/.venv/lib/python3.10/site-packages/sklearn/metrics/_regression.py:1204, in r2_score(y_true, y_pred, sample_weight, multioutput, force_finite) [1198](https://file+.vscode-resource.vscode-cdn.net/Users/datategy/Documents/o2_ml_2/~/Documents/o2_ml_2/.venv/li...
使用到的模块: pandas matplotlib.pyplot warnings sklearn.linear_model.LinearRegression sklearn.linear_model.Ridge sklearn.linear_model.Lasso sklearn.model_selection.train_test_split sklearn.preprocessing.StandardScaler sklearn.ensemble.RandomForestRegressor os seaborn sklearn.metrics.r2_score sklearn.model...
您可能要做的第一件事是为数据帧列指定适当的数据类型，以减少加载的dataframe (cf )的内存使用。https...
2、第二次使用z-score来处理异常点:一种基于统计方法的时序异常检测算法借鉴了一些经典的统计方法,比如Z-score和移动平均线 该算法将时间序列中的每个数据点都看作是来自一个正态分布,通过计算每个数据点与其临接数据点的平均值和标准差,可以获得Z-score ...
rouge_score = rouge_eval.eval()['rouge_l_f_score']printrouge_scorereturnscore,rouge_score 开发者ID:joinstu12,项目名称:text_summarization,代码行数:44,代码来源:sentences_feature.py 示例4: tune_GradientBoosting ▲点赞 1▼ # 需要导入模块: from sklearn.grid_search import GridSearchCV [as 别名...
示例1: LinRegClassifierSKLearn ▲点赞 6▼ # 需要导入模块: from sklearn.linear_model import LinearRegression [as 别名]# 或者: from sklearn.linear_model.LinearRegression importget_params[as 别名]classLinRegClassifierSKLearn(BaseEstimator, ClassifierMixin, TransformerMixin):def__init__(self, *args, ...