SYMBOL INDEX (96 symbols across 17 files) FILE: DMCP.py function parse_data (line 36) | def parse_data(): function predict (line 105) | def predict(optimal_model, optimal_model_name): function choose_optimal_model (line 128) | def choose_optimal_model(model_evaluate_data, estimator_dict): function result_visualize (line 147) | def result_visualize(train_set_RMSE, train_set_R2, test_set_RMSE, test_s... function preprocessing_data (line 157) | def preprocessing_data(data_train): function add_noise (line 176) | def add_noise(X): function get_params (line 187) | def get_params(model): function main (line 199) | def main(): FILE: Models/ENR.py class ENR (line 13) | class ENR(object): method __init__ (line 14) | def __init__(self): method auto_tune_params (line 38) | def auto_tune_params(self, x_train, y_train): method modify_params (line 50) | def modify_params(self, params): method build_model (line 54) | def build_model(self): method model_evaluate (line 57) | def model_evaluate(self, x, y, cv): method calculate (line 65) | def calculate(self, x_train, x_test, y_train, y_test): FILE: Models/ETR.py class ETR (line 14) | class ETR(object): method __init__ (line 15) | def __init__(self): method auto_tune_params (line 39) | def auto_tune_params(self, x_train, y_train): method modify_params (line 51) | def modify_params(self, params): method build_model (line 55) | def build_model(self): method model_evaluate (line 58) | def model_evaluate(self, x, y, cv): method calculate (line 66) | def calculate(self, x_train, x_test, y_train, y_test): FILE: Models/FNN.py class FNN (line 19) | class FNN(object): method __init__ (line 20) | def __init__(self, x_train, x_test, y_train, y_test, params, model_eva... method modify_params (line 38) | def modify_params(self): method calculate (line 42) | def calculate(self): class Net (line 77) | class Net(nn.Module): method __init__ (line 78) | def __init__(self): method forward (line 83) | def forward(self, x): function weights_init (line 89) | def weights_init(m): FILE: Models/GBR.py class GBR (line 13) | class GBR(object): method __init__ (line 14) | def __init__(self): method auto_tune_params (line 26) | def auto_tune_params(self, x_train, y_train): method modify_params (line 38) | def modify_params(self, params): method build_model (line 42) | def build_model(self): method model_evaluate (line 45) | def model_evaluate(self, x, y, cv): method calculate (line 53) | def calculate(self, x_train, x_test, y_train, y_test): FILE: Models/GPR.py class GPR (line 14) | class GPR(object): method __init__ (line 15) | def __init__(self): method auto_tune_params (line 19) | def auto_tune_params(self, x_train, y_train): method modify_params (line 31) | def modify_params(self, params): method build_model (line 35) | def build_model(self): method model_evaluate (line 38) | def model_evaluate(self, x, y, cv): method calculate (line 46) | def calculate(self, x_train, x_test, y_train, y_test): FILE: Models/KNR.py class KNR (line 14) | class KNR(object): method __init__ (line 15) | def __init__(self): method auto_tune_params (line 19) | def auto_tune_params(self, x_train, y_train): method modify_params (line 31) | def modify_params(self, params): method build_model (line 35) | def build_model(self): method model_evaluate (line 38) | def model_evaluate(self, x, y, cv): function calculate (line 47) | def calculate(self, x_train, x_test, y_train, y_test): FILE: Models/KRR.py class KRR (line 14) | class KRR(object): method __init__ (line 15) | def __init__(self): method auto_tune_params (line 27) | def auto_tune_params(self, x_train, y_train): method modify_params (line 39) | def modify_params(self, params): method build_model (line 43) | def build_model(self): method model_evaluate (line 46) | def model_evaluate(self, x, y, cv): method calculate (line 54) | def calculate(self, x_train, x_test, y_train, y_test): FILE: Models/Lasso.py class LSO (line 14) | class LSO(object): method __init__ (line 15) | def __init__(self): method auto_tune_params (line 37) | def auto_tune_params(self, x_train, y_train): method modify_params (line 49) | def modify_params(self, params): method build_model (line 53) | def build_model(self): method model_evaluate (line 56) | def model_evaluate(self, x, y, cv): method calculate (line 64) | def calculate(self, x_train, x_test, y_train, y_test): FILE: Models/MLP.py class MLP (line 14) | class MLP(object): method __init__ (line 15) | def __init__(self): method auto_tune_params (line 31) | def auto_tune_params(self, x_train, y_train): method modify_params (line 43) | def modify_params(self, params): method build_model (line 47) | def build_model(self): method model_evaluate (line 50) | def model_evaluate(self, x, y, cv): method calculate (line 58) | def calculate(self, x_train, x_test, y_train, y_test): FILE: Models/RFR.py class RFR (line 13) | class RFR(object): method __init__ (line 14) | def __init__(self): method auto_tune_params (line 37) | def auto_tune_params(self, x_train, y_train): method modify_params (line 49) | def modify_params(self, params): method build_model (line 53) | def build_model(self): method model_evaluate (line 56) | def model_evaluate(self, x, y, cv): method calculate (line 64) | def calculate(self, x_train, x_test, y_train, y_test): FILE: Models/SVR.py class SVR (line 13) | class SVR(object): method __init__ (line 14) | def __init__(self): method auto_tune_params (line 18) | def auto_tune_params(self, x_train, y_train): method modify_params (line 30) | def modify_params(self, params): method build_model (line 34) | def build_model(self): method model_evaluate (line 37) | def model_evaluate(self, x, y, cv): method calculate (line 45) | def calculate(self, x_train, x_test, y_train, y_test): FILE: Visualization/Violin.py class plot_Violin (line 11) | class plot_Violin(object): method __init__ (line 12) | def __init__(self, title, data_dict): FILE: Visualization/bar.py class plot_bar (line 11) | class plot_bar(object): method __init__ (line 12) | def __init__(self, title, train_set_RMSE, train_set_R2, test_set_RMSE,... FILE: Visualization/pearson.py class plot_pearson (line 16) | class plot_pearson(object): method __init__ (line 17) | def __init__(self, optimal_model_name,corelation): FILE: Visualization/pie.py class plot_pie (line 9) | class plot_pie(object): method __init__ (line 10) | def __init__(self, optimal_model_name, feature_importance): FILE: Visualization/scatter.py class plot_scatter (line 10) | class plot_scatter(object): method __init__ (line 11) | def __init__(self, y_train_true, y_train_pred, y_test_true, y_test_pred):