https://github.com/WillKoehrsen/feature-selectorlinks.jianshu.com/go?to=https%3A%2F%2Fgithub.com%2FWillKoehrsen%2Ffeature-selector 进入页面,点击“Code”--“Download Zip” 解压文件夹,找到feature_selector.py文件,尝试直接将feature_selector.py文件放到Python当前工作目录下。 需要先知道python当...
FeatureSelectionmodule is used fromMetaHeuristicsFSpython library. Refer documentation forMetaHeuristicsFSat:https://pypi.org/project/MetaHeuristicsFS/and example usage of MetaHeuristicsFS for feature selection:https://github.com/StatguyUser/feature_engineering_and_selection_for_explanable_models/blob/37ba0...
项目地址:https://github.com/WillKoehrsen/feature-selector 特征选择(feature selection)是查找和选择数据集中最有用特征的过程,是机器学习流程中的一大关键步骤。不必要的特征会降低训练速度、降低模型可解释性,并且最重要的是还会降低其在测试集上的泛化表现。 目前存在一些专用型的特征选择方法,我常常要一遍又一遍...
Feature Selector: Simple Feature Selection in Python byWill Koehrsen FeatureSelector是用于降低机器学习数据集的维数的工具。 对应文章: https://towardsdatascience.com/a-feature-selection-tool-for-machine-learning-in-python-b64dd23710f0 项目地址: https://github.com/WillKoehrsen/feature-selector 方法...
python setup.py install After installation, run FeatureSelect as the below: b) Import the package: import FeatureSelect c) Prepare the FeatureSelect: FS = FeatureSelect.initialize() d) Run the program: FS.Selection() 4- Stand-alone version which is an EXE file (64 bits) ...
git: https://github.com/linyi0604/MachineLearning 代码: 1importpandas as pd2fromsklearn.cross_validationimporttrain_test_split3fromsklearn.feature_extractionimportDictVectorizer4fromsklearn.treeimportDecisionTreeClassifier5fromsklearnimportfeature_selection6fromsklearn.cross_validationimportcross_val_score7impo...
[3] Feature Importance and Feature Selection With XGBoost in Python [4] What is the Variable Importance Measure? [5] A Feature Selection Tool for Machine Learning in Python [6] 简谈ML模型特征选取的方法 [7] feature-selector Github地址 ...
When it comes to disciplined approaches to feature selection, wrapper methods are those which marry the feature selection process to the type of model being built, evaluating feature subsets in order to detect the model performance between features, and
scikit-learn: machine learning in Python. Contribute to scikit-learn/scikit-learn development by creating an account on GitHub.
https://github.com/Yimeng-Zhang/feature-engineering-and-feature-selection/blob/master/A%20Short%20Guide%20for%20Feature%20Engineering%20and%20Feature%20Selection.pdf Same, but in markdown: https://github.com/Yimeng-Zhang/feature-engineering-and-feature-selection/blob/master/A%20Short%20Guide%20...