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| # 全局静态变量值存储类 | |
| class StaticValue: | |
| # SHAP抽样数量 | |
| SAMPLE_NUM = 20 | |
| # 超参数文本框的最大组件数量 | |
| MAX_PARAMS_NUM = 60 | |
| # 颜色和标签显示的最大组件数量 | |
| MAX_NUM = 20 | |
| # 随机种子 (数据集切分+模型训练) | |
| RANDOM_STATE = 123 | |
| # 参数类型 | |
| INT = "int" | |
| FLOAT = "float" | |
| BOOL = "bool" | |
| STR = "str" | |
| # 画图颜色组重复次数 | |
| COLOR_ITER_NUM = 3 | |
| # 颜色组 | |
| COLORS = [ | |
| "#ca5353", | |
| "#c874a5", | |
| "#b674c8", | |
| "#8274c8", | |
| "#748dc8", | |
| "#74acc8", | |
| "#74c8b7", | |
| "#74c88d", | |
| "#a6c874", | |
| "#e0e27e", | |
| "#df9b77", | |
| "#404040", | |
| "#999999", | |
| "#d4d4d4" | |
| ] * COLOR_ITER_NUM | |
| COLORS_0 = [ | |
| "#8074C8", | |
| "#7895C1", | |
| "#A8CBDF", | |
| "#992224", | |
| "#B54764", | |
| "#E3625D", | |
| "#EF8B67", | |
| "#F0C284" | |
| ] * COLOR_ITER_NUM | |
| COLORS_1 = [ | |
| "#4A5F7E", | |
| "#719AAC", | |
| "#72B063", | |
| "#94C6CD", | |
| "#B8DBB3", | |
| "#E29135" | |
| ] * COLOR_ITER_NUM | |
| COLORS_2 = [ | |
| "#4485C7", | |
| "#D4562E", | |
| "#DBB428", | |
| "#682487", | |
| "#84BA42", | |
| "#7ABBDB", | |
| "#A51C36" | |
| ] * COLOR_ITER_NUM | |
| COLORS_3 = [ | |
| "#8074C8", | |
| "#7895C1", | |
| "#A8CBDF", | |
| "#F5EBAE", | |
| "#F0C284", | |
| "#EF8B67", | |
| "#E3625D", | |
| "#B54764" | |
| ] * COLOR_ITER_NUM | |
| COLORS_4 = [ | |
| "#979998", | |
| "#C69287", | |
| "#E79A90", | |
| "#EFBC91", | |
| "#E4CD87", | |
| "#FAE5BB", | |
| "#DDDDDF" | |
| ] * COLOR_ITER_NUM | |
| COLORS_5 = [ | |
| "#91CCC0", | |
| "#7FABD1", | |
| "#F7AC53", | |
| "#EC6E66", | |
| "#B5CE4E", | |
| "#BD7795", | |
| "#7C7979" | |
| ] * COLOR_ITER_NUM | |
| COLORS_6 = [ | |
| "#E9687A", | |
| "#F58F7A", | |
| "#FDE2D8", | |
| "#CFCFD0", | |
| "#B6B3D6" | |
| ] * COLOR_ITER_NUM | |
| # 文件路径相关静态变量存储类 | |
| class FilePath: | |
| png_base = "./buffer/{}.png" | |
| excel_base = "./buffer/{}.xlsx" | |
| # [绘图] | |
| display_dataset = "current_excel_data" | |
| data_distribution_plot = "data_distribution_plot" | |
| descriptive_indicators_plot = "descriptive_indicators_plot" | |
| heatmap_plot = "heatmap_plot" | |
| learning_curve_plot = "learning_curve_plot" | |
| shap_beeswarm_plot = "shap_beeswarm_plot" | |
| data_fit_plot = "data_fit_plot" | |
| waterfall_plot = "waterfall_plot" | |
| force_plot = "force_plot" | |
| dependence_plot = "dependence_plot" | |
| # 绘图Step 15:在这里添加新的绘图方法名称 | |
| # 模型名称静态变量存储类 | |
| class MN: # ModelName | |
| classification = "classification" | |
| regression = "regression" | |
| # [模型] | |
| linear_regressor = "linear regressor" | |
| polynomial_regressor = "polynomial regressor" | |
| logistic_classifier = "logistic classifier" | |
| decision_tree_classifier = "decision tree classifier" | |
| random_forest_classifier = "random forest classifier" | |
| random_forest_regressor = "random forest regressor" | |
| xgboost_classifier = "xgboost classifier" | |
| lightGBM_classifier = "lightGBM classifier" | |
| gradient_boosting_regressor = "gradient boosting regressor" | |
| svm_classifier = "svm classifier" | |
| svm_regressor = "svm regressor" | |
| knn_classifier = "knn classifier" | |
| knn_regressor = "knn regressor" | |
| naive_bayes_classifier = "naive bayes classifier" | |
| # 模型Step 4:在这里添加新的模型名称 | |
| none = "None" | |
| grid_search = "grid_search" | |
| bayes_search = "bayes_search" | |
| # [绘图] | |
| data_distribution = "data_distribution" | |
| descriptive_indicators = "descriptive_indicators" | |
| heatmap = "heatmap" | |
| learning_curve = "learning_curve" | |
| shap_beeswarm = "shap_beeswarm" | |
| data_fit = "data_fit" | |
| waterfall = "waterfall" | |
| force = "force" | |
| dependence = "dependence" | |
| # 绘图Step 4:在这里添加新的绘图方法名称 | |
| # 组件标签名称静态变量存储类 | |
| class LN: # LabelName | |
| choose_dataset_radio = "选择所需数据源 [必选]" | |
| display_total_col_num_text = "总列数" | |
| display_total_row_num_text = "总行数" | |
| display_na_list_text = "存在缺失值的列" | |
| del_all_na_col_button = "删除所有存在缺失值的列 [可选]" | |
| display_duplicate_num_text = "重复的行数" | |
| del_col_checkboxgroup = "选择所需删除的列" | |
| del_col_button = "删除 [可选]" | |
| remain_row_slider = "保留的行数" | |
| remain_row_button = "保留 [可选]" | |
| del_duplicate_button = "删除所有重复行 [可选]" | |
| encode_label_checkboxgroup = "选择所需标签编码的字符型数值列" | |
| display_encode_label_dataframe = "标签编码信息" | |
| encode_label_button = "字符型转数值型 [可选]" | |
| change_data_type_to_float_button = "将所有数据强制转换为浮点型（除第1列以外）[必选]" | |
| standardize_data_checkboxgroup = "选择所需标准化的列" | |
| standardize_data_button = "标准化 [可选]" | |
| select_as_y_radio = "选择因变量 [必选]" | |
| choose_assign_radio = "选择任务类型（同时会根据任务类型将第1列数据强制转换）[必选]" | |
| train_size_textbox = "分割出的训练集所占比例" | |
| model_optimize_radio = "选择超参数优化方法" | |
| model_train_input_params_dataframe = "超参数列表" | |
| model_train_button = "训练" | |
| model_train_params_dataframe = "训练后的模型参数" | |
| model_train_metrics_dataframe = "训练后的模型指标" | |
| select_as_model_radio = "选择所需训练的模型" | |
| # [模型] | |
| linear_regression_model_radio = "选择线性回归的模型" | |
| naive_bayes_classification_model_radio = "选择朴素贝叶斯分类的模型" | |
| # 模型Step 5:在这里添加新的模型额外组件名称 | |
| title_name_textbox = "标题" | |
| x_label_textbox = "x 轴名称" | |
| y_label_textbox = "y 轴名称" | |
| colors = ["颜色 {}".format(i) for i in range(StaticValue.MAX_NUM)] | |
| labels = ["图例 {}".format(i) for i in range(StaticValue.MAX_NUM)] | |
| # [绘图] | |
| heatmap_is_rotate = "x轴标签是否旋转" | |
| heatmap_checkboxgroup = "选择所需绘制系数热力图的列" | |
| heatmap_button = "绘制系数热力图" | |
| data_distribution_radio = "选择所需绘制数据分布图的列" | |
| data_distribution_is_rotate = "x轴标签是否旋转" | |
| data_distribution_button = "绘制数据分布图" | |
| descriptive_indicators_checkboxgroup = "选择所需绘制箱线统计图的列" | |
| descriptive_indicators_is_rotate = "x轴标签是否旋转" | |
| descriptive_indicators_button = "绘制箱线统计图" | |
| learning_curve_checkboxgroup = "选择所需绘制学习曲线图的模型" | |
| learning_curve_button = "绘制学习曲线图" | |
| shap_beeswarm_radio = "选择所需绘制特征蜂群图的模型" | |
| shap_beeswarm_type = "选择图像类型" | |
| shap_beeswarm_button = "绘制特征蜂群图" | |
| data_fit_checkboxgroup = "选择所需绘制数据拟合图的模型" | |
| data_fit_button = "绘制数据拟合图" | |
| waterfall_radio = "选择所需绘制特征瀑布图的模型" | |
| waterfall_number = "输入相关特征的变量索引" | |
| waterfall_button = "绘制特征瀑布图" | |
| force_radio = "选择所需绘制特征力图的模型" | |
| force_number = "输入相关特征的变量索引" | |
| force_button = "绘制特征力图" | |
| dependence_radio = "选择所需绘制特征依赖图的模型" | |
| dependence_col = "选择相应的列" | |
| dependence_button = "绘制特征依赖图" | |
| # 绘图Step 5:在这里添加新的绘图方法相关组件名称 | |
| data_distribution_plot = "数据分布图" | |
| descriptive_indicators_plot = "箱线统计图" | |
| heatmap_plot = "系数热力图" | |
| learning_curve_plot = "学习曲线图" | |
| shap_beeswarm_plot = "特征蜂群图" | |
| data_fit_plot = "数据拟合图" | |
| waterfall_plot = "特征瀑布图" | |
| force_plot = "特征力图" | |
| dependence_plot = "特征依赖图" | |
| # 绘图Step 6:在这里添加新的绘图方法名称 | |