def __init__(self, df, target, user_actions):
super(UI, self).__init__()
uic.loadUi("../ui_files/LinearRegression.ui", self)
self.user_act = user_actions
global data
data = data_visualise.data_()
steps = common.common_steps(df, target)
self.X, self.n_classes, self.target_value, self.df, self.column_list = steps.return_data(
)
self.target = self.findChild(QLabel, "target")
self.columns = self.findChild(QListWidget, "columns")
self.test_size = self.findChild(QLabel, "test_size")
self.setvalue()
self.train_size = self.findChild(QLabel, "train_size")
self.test_data = self.findChild(QLineEdit, "test_data")
self.test_size_btn = self.findChild(QPushButton, "test_size_btn")
self.fit_inter = self.findChild(QComboBox, "fit_inter")
self.normalize = self.findChild(QComboBox, "normalize")
self.train_btn = self.findChild(QPushButton, "train")
self.intercept = self.findChild(QLabel, "intercept")
self.weights = self.findChild(QTextBrowser, "weights")
self.output_btn = self.findChild(QPushButton, "output")
self.bar_plot_btn = self.findChild(QPushButton, "bar_plot")
self.mae = self.findChild(QLabel, "mae")
self.mse = self.findChild(QLabel, "mse")
self.rmse = self.findChild(QLabel, "rmse")
self.test_size_btn.clicked.connect(self.test_split)
self.train_btn.clicked.connect(self.training)
self.output_btn.clicked.connect(self.output_)
self.bar_plot_btn.clicked.connect(self.barplot)
self.dwnld.clicked.connect(self.download_model)
self.show()
def __init__(self, df, target, user_actions):
super(UI, self).__init__()
uic.loadUi("../ui_files/MLP.ui", self)
self.user_act = user_actions
global data, steps
data = data_visualise.data_()
steps = common.common_steps(df, target)
self.X, self.n_classes, self.target_value, self.df, self.column_list = steps.return_data(
)
self.target = self.findChild(QLabel, "target")
self.columns = self.findChild(QListWidget, "columns")
self.test_size = self.findChild(QLabel, "test_size")
self.train_btn = self.findChild(QPushButton, "train")
self.test_data = self.findChild(QLineEdit, "test_data")
self.test_size_btn = self.findChild(QPushButton, "test_size_btn")
self.train_btn.clicked.connect(self.training)
self.test_size_btn.clicked.connect(self.test_split)
self.reshape_btn.clicked.connect(self.reshape_data)
self.go.clicked.connect(self.create_model)
self.conf_mat.clicked.connect(self.conf_matrix)
self.dwnld.clicked.connect(self.download_model)
self.setvalue()
self.show()
def __init__(self, df, target, pickle_model, path):
super(UI, self).__init__()
uic.loadUi("../ui_files/pre_trained.ui", self)
self.path = path
global data
data = data_visualise.data_()
steps = common.common_steps(df, target)
self.X, self.n_classes, self.target_value, self.df, self.column_list = steps.return_data(
)
self.target = self.findChild(QLabel, "target")
self.columns = self.findChild(QListWidget, "columns")
self.test_size = self.findChild(QLabel, "test_size")
self.model = pickle_model
self.conf_mat.clicked.connect(self.conf_matrix)
self.test.clicked.connect(self.test_model)
self.setvalue()
self.show()
def __init__(self, df, target, user_actions):
super(UI, self).__init__()
uic.loadUi("../ui_files/LogisticRegression.ui", self)
self.user_act = user_actions
global data, steps
data = data_visualise.data_()
steps = common.common_steps(df, target)
self.X, self.n_classes, self.target_value, self.df, self.column_list = steps.return_data(
)
self.target = self.findChild(QLabel, "target")
self.columns = self.findChild(QListWidget, "columns")
self.test_size = self.findChild(QLabel, "test_size")
self.target = self.findChild(QLabel, "target")
self.columns = self.findChild(QListWidget, "columns")
self.test_size = self.findChild(QLabel, "test_size")
self.c_ = self.findChild(QLineEdit, "c_")
self.penalty = self.findChild(QComboBox, "penalty")
self.solver = self.findChild(QComboBox, "solver")
self.dual = self.findChild(QComboBox, "dual")
self.max_iter = self.findChild(QLineEdit, "max_iter")
self.fit_inter = self.findChild(QComboBox, "fit_inter")
self.multi_class = self.findChild(QComboBox, "multi_class")
self.tol = self.findChild(QLineEdit, "tol")
self.train_btn = self.findChild(QPushButton, "train")
self.mae = self.findChild(QLabel, "mae")
self.mse = self.findChild(QLabel, "mse")
self.rmse = self.findChild(QLabel, "rmse")
self.accuracy = self.findChild(QLabel, "accuracy")
self.roc_btn = self.findChild(QPushButton, "roc")
self.X_combo = self.findChild(QComboBox, "X_combo")
self.Y_combo = self.findChild(QComboBox, "Y_combo")
self.test_data = self.findChild(QLineEdit, "test_data")
self.test_size_btn = self.findChild(QPushButton, "test_size_btn")
self.train_btn.clicked.connect(self.training)
self.conf_mat_btn = self.findChild(QPushButton, "conf_mat")
#self.roc_btn.clicked.connect(self.roc_plot)
self.conf_mat_btn.clicked.connect(self.conf_matrix)
self.test_size_btn.clicked.connect(self.test_split)
self.dwnld.clicked.connect(self.download_model)
self.setvalue()
self.show()
def __init__(self, df, target, user_actions):
super(UI, self).__init__()
uic.loadUi("../ui_files/SVR.ui", self)
self.user_act = user_actions
global data
data = data_visualise.data_()
steps = common.common_steps(df, target)
self.X, self.n_classes, self.target_value, self.df, self.column_list = steps.return_data(
)
self.target = self.findChild(QLabel, "target")
self.columns = self.findChild(QListWidget, "columns")
self.test_size = self.findChild(QLabel, "test_size")
self.c_ = self.findChild(QLineEdit, "c_")
self.kernel = self.findChild(QComboBox, "kernel")
self.degree = self.findChild(QLineEdit, "degree")
self.gamma = self.findChild(QComboBox, "gamma")
self.custom_gamma = self.findChild(QLineEdit, "custom_gamma")
self.coef = self.findChild(QLineEdit, "coef")
self.max_iter = self.findChild(QLineEdit, "max_iter")
self.dec_func = self.findChild(QComboBox, "dec_func")
self.epsilon = self.findChild(QLineEdit, "epsilon")
self.tol = self.findChild(QLineEdit, "tol")
self.train_btn = self.findChild(QPushButton, "train")
self.mae = self.findChild(QLabel, "mae")
self.mse = self.findChild(QLabel, "mse")
self.rmse = self.findChild(QLabel, "rmse")
self.roc_btn = self.findChild(QPushButton, "roc")
self.X_combo = self.findChild(QComboBox, "X_combo")
self.Y_combo = self.findChild(QComboBox, "Y_combo")
self.test_data = self.findChild(QLineEdit, "test_data")
self.test_size_btn = self.findChild(QPushButton, "test_size_btn")
self.train_btn.clicked.connect(self.training)
self.conf_mat_btn = self.findChild(QPushButton, "conf_mat")
#self.roc_btn.clicked.connect(self.roc_plot)
self.conf_mat_btn.clicked.connect(self.conf_matrix)
self.test_size_btn.clicked.connect(self.test_split)
self.dwnld.clicked.connect(self.download_model)
self.setvalue()
self.show()
def __init__(self, df, target, user_actions):
super(UI, self).__init__()
uic.loadUi("../ui_files/RandomForest.ui", self)
self.user_act = user_actions
global data, steps
data = data_visualise.data_()
steps = common.common_steps(df, target)
self.X, self.n_classes, self.target_value, self.df, self.column_list = steps.return_data(
)
self.target = self.findChild(QLabel, "target")
self.columns = self.findChild(QListWidget, "columns")
self.test_size = self.findChild(QLabel, "test_size")
self.estimators = self.findChild(QLineEdit, "estimators")
self.criterion = self.findChild(QComboBox, "criterion")
self.max_depth = self.findChild(QLineEdit, "max_depth")
self.min_sample_split = self.findChild(QLineEdit, "min_sample_split")
self.bootstrap = self.findChild(QComboBox, "bootstrap")
self.train_btn = self.findChild(QPushButton, "train")
self.mae = self.findChild(QLabel, "mae")
self.mse = self.findChild(QLabel, "mse")
self.rmse = self.findChild(QLabel, "rmse")
self.accuracy = self.findChild(QLabel, "accuracy")
self.roc_btn = self.findChild(QPushButton, "roc")
self.X_combo = self.findChild(QComboBox, "X_combo")
self.Y_combo = self.findChild(QComboBox, "Y_combo")
self.test_data = self.findChild(QLineEdit, "test_data")
self.test_size_btn = self.findChild(QPushButton, "test_size_btn")
self.train_btn.clicked.connect(self.training)
self.conf_mat_btn = self.findChild(QPushButton, "conf_mat")
#self.roc_btn.clicked.connect(self.roc_plot)
self.conf_mat_btn.clicked.connect(self.conf_matrix)
self.test_size_btn.clicked.connect(self.test_split)
self.dwnld.clicked.connect(self.download_model)
self.setvalue()
self.show()
def __init__(self, df, target, user_actions):
super(UI, self).__init__()
uic.loadUi("../ui_files/KNN.ui", self)
self.user_act = user_actions
global data, steps
data = data_visualise.data_()
steps = common.common_steps(df, target)
self.X, self.n_classes, self.target_value, self.df, self.column_list = steps.return_data(
)
self.target = self.findChild(QLabel, "target")
self.columns = self.findChild(QListWidget, "columns")
self.test_size = self.findChild(QLabel, "test_size")
self.neighbours = self.findChild(QLineEdit, "neighbours")
self.weights = self.findChild(QComboBox, "weights")
self.algorithm = self.findChild(QComboBox, "algorithm")
self.mae = self.findChild(QLabel, "mae")
self.mse = self.findChild(QLabel, "mse")
self.rmse = self.findChild(QLabel, "rmse")
self.accuracy = self.findChild(QLabel, "accuracy")
self.roc_btn = self.findChild(QPushButton, "roc")
self.train_btn = self.findChild(QPushButton, "train")
self.X_combo = self.findChild(QComboBox, "X_combo")
self.Y_combo = self.findChild(QComboBox, "Y_combo")
self.test_data = self.findChild(QLineEdit, "test_data")
self.test_size_btn = self.findChild(QPushButton, "test_size_btn")
self.train_btn.clicked.connect(self.training)
self.conf_mat_btn = self.findChild(QPushButton, "conf_mat")
#self.roc_btn.clicked.connect(self.roc_plot)
self.conf_mat_btn.clicked.connect(self.conf_matrix)
self.test_size_btn.clicked.connect(self.test_split)
self.dwnld.clicked.connect(self.download_model)
self.visualize.clicked.connect(self.boundary)
self.setvalue()
self.show()