自动机器学习，深度学习lib库。
automlkiller的Python项目详细描述
自动杀手
自动机器学习
使用
- 步骤1：加载数据和预处理
model=AUTOML(X,y,cleancolumnname={},datatype={"categorical_columns":[],"numeric_columns":[],"time_columns":[]},simpleimputer={"numeric_strategy":"mean","categorical_strategy":"most_frequent"},zeronearzerovariance={"threshold_first":0.1,"threshold_second":20},categoryencoder={"cols":[],"method":"targetencoder"},groupsimilarfeature={"group_name":[],"list_of_group_feature":[]},binning={"features_to_discretize":[]},maketimefeature={"time_columns":[],"list_of_feature":['month','dayofweek','weekday','is_month_end','is_month_start','hour']},scaling={"method":"zscore","numeric_columns":[]},# outlier = {"methods": ["pca", "iforest", "knn"], "contamination": 0.2},removeperfectmulticollinearity={},makenonlinearfeature={"polynomial_columns":[],"degree":2,"interaction_only":False,"include_bias":False,"other_nonlinear_feature":["sin","cos","tan"]},# rfe = {"estimator": None, "step": 1, "min_features_to_select": 3, "cv": 3},# reducedimension = {"method": "pca_linear", "n_components": 0.99})
- 第二步：培训模式
- 第三步：模型性能
model.report_tensorboard()
- 项目
标签：
欢迎加入QQ群-->： 979659372
