界面优化
This commit is contained in:
320
src/gui/panels/step6_panel.py
Normal file
320
src/gui/panels/step6_panel.py
Normal file
@ -0,0 +1,320 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
Step6 面板 - 机器学习建模
|
||||
"""
|
||||
|
||||
import os
|
||||
|
||||
from PyQt5.QtWidgets import (
|
||||
QWidget, QVBoxLayout, QGroupBox, QFormLayout, QGridLayout,
|
||||
QHBoxLayout, QLabel, QLineEdit, QSpinBox, QCheckBox,
|
||||
QPushButton, QFileDialog, QMessageBox,
|
||||
)
|
||||
from PyQt5.QtCore import Qt
|
||||
|
||||
from src.gui.components.custom_widgets import FileSelectWidget
|
||||
from src.gui.styles import ModernStylesheet
|
||||
|
||||
|
||||
class Step6Panel(QWidget):
|
||||
"""步骤6：机器学习建模"""
|
||||
def __init__(self, parent=None):
|
||||
super().__init__(parent)
|
||||
self.init_ui()
|
||||
|
||||
def init_ui(self):
|
||||
layout = QVBoxLayout()
|
||||
|
||||
# 标题
|
||||
|
||||
|
||||
# 训练数据文件（用于独立运行）
|
||||
self.training_csv_file = FileSelectWidget(
|
||||
"训练数据:",
|
||||
"CSV Files (*.csv);;All Files (*.*)"
|
||||
)
|
||||
layout.addWidget(self.training_csv_file)
|
||||
|
||||
# 机器学习模型页面
|
||||
self.ml_page = QWidget()
|
||||
self.create_ml_page()
|
||||
layout.addWidget(self.ml_page)
|
||||
|
||||
# 输出文件路径
|
||||
self.output_dir = FileSelectWidget(
|
||||
"输出模型目录:",
|
||||
"Directories;;All Files (*.*)"
|
||||
)
|
||||
self.output_dir.line_edit.setPlaceholderText("models_output")
|
||||
# 修改浏览按钮为选择目录
|
||||
self.output_dir.browse_btn.clicked.disconnect()
|
||||
self.output_dir.browse_btn.clicked.connect(self.browse_output_dir)
|
||||
layout.addWidget(self.output_dir)
|
||||
|
||||
# 启用步骤
|
||||
self.enable_checkbox = QCheckBox("启用此步骤")
|
||||
self.enable_checkbox.setChecked(True)
|
||||
layout.addWidget(self.enable_checkbox)
|
||||
|
||||
# 独立运行按钮
|
||||
self.run_btn = QPushButton("独立运行此步骤")
|
||||
self.run_btn.setStyleSheet(ModernStylesheet.get_button_stylesheet('success'))
|
||||
self.run_btn.clicked.connect(self.run_step)
|
||||
layout.addWidget(self.run_btn)
|
||||
|
||||
layout.addStretch()
|
||||
self.setLayout(layout)
|
||||
|
||||
def create_ml_page(self):
|
||||
"""创建机器学习模型页面"""
|
||||
layout = QVBoxLayout()
|
||||
|
||||
# 参数设置
|
||||
params_group = QGroupBox("训练参数")
|
||||
params_layout = QFormLayout()
|
||||
|
||||
self.feature_start = QLineEdit()
|
||||
self.feature_start.setText("374.285004")
|
||||
params_layout.addRow("特征起始列:", self.feature_start)
|
||||
|
||||
self.cv_folds = QSpinBox()
|
||||
self.cv_folds.setRange(2, 10)
|
||||
self.cv_folds.setValue(3)
|
||||
params_layout.addRow("交叉验证折数:", self.cv_folds)
|
||||
|
||||
params_group.setLayout(params_layout)
|
||||
layout.addWidget(params_group)
|
||||
|
||||
# 预处理方法 - 多选
|
||||
preproc_group = QGroupBox("预处理方法 (可多选)")
|
||||
preproc_layout = QVBoxLayout()
|
||||
|
||||
preproc_grid = QGridLayout()
|
||||
self.preproc_checkboxes = {}
|
||||
preproc_methods = ['None', 'MMS', 'SS', 'SNV', 'MA', 'SG', 'MSC', 'D1', 'D2', 'DT', 'CT']
|
||||
|
||||
for i, method in enumerate(preproc_methods):
|
||||
checkbox = QCheckBox(method)
|
||||
checkbox.setChecked(True)
|
||||
self.preproc_checkboxes[method] = checkbox
|
||||
preproc_grid.addWidget(checkbox, i // 4, i % 4)
|
||||
|
||||
button_layout = QHBoxLayout()
|
||||
select_all_btn = QPushButton("全选")
|
||||
deselect_all_btn = QPushButton("全不选")
|
||||
select_all_btn.clicked.connect(lambda: self._toggle_checkboxes(self.preproc_checkboxes, True))
|
||||
deselect_all_btn.clicked.connect(lambda: self._toggle_checkboxes(self.preproc_checkboxes, False))
|
||||
button_layout.addWidget(select_all_btn)
|
||||
button_layout.addWidget(deselect_all_btn)
|
||||
button_layout.addStretch()
|
||||
|
||||
preproc_layout.addLayout(preproc_grid)
|
||||
preproc_layout.addLayout(button_layout)
|
||||
preproc_group.setLayout(preproc_layout)
|
||||
layout.addWidget(preproc_group)
|
||||
|
||||
# 模型选择 - 多选
|
||||
model_group = QGroupBox("模型类型 (可多选)")
|
||||
model_layout = QVBoxLayout()
|
||||
|
||||
model_grid = QGridLayout()
|
||||
self.model_checkboxes = {}
|
||||
|
||||
model_groups = [
|
||||
("线性模型", ['LinearRegression', 'Ridge', 'Lasso', 'ElasticNet', 'PLS']),
|
||||
("树模型", ['DecisionTree', 'RF', 'ExtraTrees', 'XGBoost', 'LightGBM', 'CatBoost']),
|
||||
("集成学习", ['GradientBoosting', 'AdaBoost']),
|
||||
("其他模型", ['SVR', 'KNN', 'MLP'])
|
||||
]
|
||||
|
||||
row = 0
|
||||
for group_name, models in model_groups:
|
||||
group_label = QLabel(f"<b>{group_name}</b>")
|
||||
group_label.setStyleSheet(
|
||||
f"background-color: {ModernStylesheet.COLORS['hover']}; "
|
||||
f"padding: 5px; border: 1px solid {ModernStylesheet.COLORS['border_light']}; "
|
||||
f"border-radius: 3px;"
|
||||
)
|
||||
model_grid.addWidget(group_label, row, 0, 1, 4)
|
||||
row += 1
|
||||
|
||||
for i, model in enumerate(models):
|
||||
checkbox = QCheckBox(model)
|
||||
checkbox.setChecked(model in ['SVR', 'RF', 'Ridge', 'Lasso'])
|
||||
self.model_checkboxes[model] = checkbox
|
||||
model_grid.addWidget(checkbox, row, i % 4)
|
||||
if (i + 1) % 4 == 0:
|
||||
row += 1
|
||||
|
||||
row += 1
|
||||
|
||||
model_button_layout = QHBoxLayout()
|
||||
model_select_all = QPushButton("全选")
|
||||
model_deselect_all = QPushButton("全不选")
|
||||
model_select_all.clicked.connect(lambda: self._toggle_checkboxes(self.model_checkboxes, True))
|
||||
model_deselect_all.clicked.connect(lambda: self._toggle_checkboxes(self.model_checkboxes, False))
|
||||
model_button_layout.addWidget(model_select_all)
|
||||
model_button_layout.addWidget(model_deselect_all)
|
||||
model_button_layout.addStretch()
|
||||
|
||||
model_layout.addLayout(model_grid)
|
||||
model_layout.addLayout(model_button_layout)
|
||||
model_group.setLayout(model_layout)
|
||||
layout.addWidget(model_group)
|
||||
|
||||
# 数据划分方法 - 多选
|
||||
split_group = QGroupBox("数据划分方法 (可多选)")
|
||||
split_layout = QVBoxLayout()
|
||||
|
||||
split_grid = QGridLayout()
|
||||
self.split_checkboxes = {}
|
||||
split_methods = ['spxy', 'ks', 'random']
|
||||
|
||||
for i, method in enumerate(split_methods):
|
||||
checkbox = QCheckBox(method)
|
||||
checkbox.setChecked(True)
|
||||
self.split_checkboxes[method] = checkbox
|
||||
split_grid.addWidget(checkbox, 0, i)
|
||||
|
||||
split_button_layout = QHBoxLayout()
|
||||
split_select_all = QPushButton("全选")
|
||||
split_deselect_all = QPushButton("全不选")
|
||||
split_select_all.clicked.connect(lambda: self._toggle_checkboxes(self.split_checkboxes, True))
|
||||
split_deselect_all.clicked.connect(lambda: self._toggle_checkboxes(self.split_checkboxes, False))
|
||||
split_button_layout.addWidget(split_select_all)
|
||||
split_button_layout.addWidget(split_deselect_all)
|
||||
split_button_layout.addStretch()
|
||||
|
||||
split_layout.addLayout(split_grid)
|
||||
split_layout.addLayout(split_button_layout)
|
||||
split_group.setLayout(split_layout)
|
||||
layout.addWidget(split_group)
|
||||
|
||||
self.ml_page.setLayout(layout)
|
||||
|
||||
def _toggle_checkboxes(self, checkboxes_dict, checked):
|
||||
"""统一设置checkbox状态"""
|
||||
for checkbox in checkboxes_dict.values():
|
||||
checkbox.setChecked(checked)
|
||||
|
||||
def browse_output_dir(self):
|
||||
"""浏览输出目录"""
|
||||
dir_path = QFileDialog.getExistingDirectory(self, "选择输出模型目录", "")
|
||||
if dir_path:
|
||||
self.output_dir.set_path(dir_path)
|
||||
|
||||
def get_config(self):
|
||||
"""获取配置"""
|
||||
preprocessing_methods = [
|
||||
method for method, checkbox in self.preproc_checkboxes.items()
|
||||
if checkbox.isChecked()
|
||||
]
|
||||
model_names = [
|
||||
model for model, checkbox in self.model_checkboxes.items()
|
||||
if checkbox.isChecked()
|
||||
]
|
||||
split_methods = [
|
||||
method for method, checkbox in self.split_checkboxes.items()
|
||||
if checkbox.isChecked()
|
||||
]
|
||||
|
||||
config = {
|
||||
'feature_start_column': self.feature_start.text(),
|
||||
'preprocessing_methods': preprocessing_methods if preprocessing_methods else ['None'],
|
||||
'model_names': model_names if model_names else ['SVR'],
|
||||
'split_methods': split_methods if split_methods else ['random'],
|
||||
'cv_folds': self.cv_folds.value()
|
||||
}
|
||||
training_csv_path = self.training_csv_file.get_path()
|
||||
if training_csv_path:
|
||||
config['training_csv_path'] = training_csv_path
|
||||
# 注意：step6_train_models 不接受 output_dir 参数，输出目录由 pipeline 内部根据 work_dir 生成
|
||||
return config
|
||||
|
||||
def set_config(self, config):
|
||||
"""设置配置"""
|
||||
if 'feature_start_column' in config:
|
||||
self.feature_start.setText(str(config['feature_start_column']))
|
||||
if 'cv_folds' in config:
|
||||
self.cv_folds.setValue(config['cv_folds'])
|
||||
if 'preprocessing_methods' in config:
|
||||
methods = config['preprocessing_methods']
|
||||
for method, checkbox in self.preproc_checkboxes.items():
|
||||
checkbox.setChecked(method in methods)
|
||||
if 'model_names' in config:
|
||||
models = config['model_names']
|
||||
for model, checkbox in self.model_checkboxes.items():
|
||||
checkbox.setChecked(model in models)
|
||||
if 'split_methods' in config:
|
||||
methods = config['split_methods']
|
||||
for method, checkbox in self.split_checkboxes.items():
|
||||
checkbox.setChecked(method in methods)
|
||||
if 'training_csv_path' in config:
|
||||
self.training_csv_file.set_path(config['training_csv_path'])
|
||||
if 'output_dir' in config:
|
||||
self.output_dir.set_path(config['output_dir'])
|
||||
|
||||
def update_from_config(self, work_dir=None, pipeline=None):
|
||||
"""从全局配置自动填充训练数据和输出路径
|
||||
|
||||
Args:
|
||||
work_dir: 工作目录路径
|
||||
pipeline: Pipeline 实例（未使用，保留接口兼容性）
|
||||
"""
|
||||
if work_dir:
|
||||
self.work_dir = work_dir
|
||||
elif hasattr(self, 'work_dir') and self.work_dir:
|
||||
pass
|
||||
else:
|
||||
self.work_dir = None
|
||||
|
||||
# 1. 尝试从 Step5 界面读取训练数据路径
|
||||
main_window = self.window()
|
||||
if hasattr(main_window, 'step5_panel'):
|
||||
# 优先直接从 Step5 的输出 widget 读取
|
||||
step5_output = main_window.step5_panel.output_file.get_path()
|
||||
if step5_output:
|
||||
self.training_csv_file.set_path(step5_output)
|
||||
elif hasattr(main_window, 'step5_panel') and hasattr(main_window.step5_panel, 'get_config'):
|
||||
# 回退：从 Step5 的 config 字典中查找可能的键名
|
||||
step5_cfg = main_window.step5_panel.get_config()
|
||||
step5_csv = (
|
||||
step5_cfg.get('training_spectra_path')
|
||||
or step5_cfg.get('output_file')
|
||||
or step5_cfg.get('csv_path')
|
||||
or step5_cfg.get('output_csv')
|
||||
)
|
||||
if step5_csv:
|
||||
self.training_csv_file.set_path(step5_csv)
|
||||
|
||||
# 2. 自动填充输出目录（基于工作目录）
|
||||
if self.work_dir:
|
||||
output_dir = os.path.join(self.work_dir, "7_Supervised_Model_Training")
|
||||
os.makedirs(output_dir, exist_ok=True)
|
||||
self.output_dir.set_path(output_dir.replace('\\', '/'))
|
||||
else:
|
||||
self.output_dir.set_path("")
|
||||
|
||||
def run_step(self):
|
||||
"""独立运行步骤6"""
|
||||
training_csv_path = self.training_csv_file.get_path()
|
||||
if not training_csv_path:
|
||||
QMessageBox.warning(self, "输入错误", "请选择训练数据CSV文件！")
|
||||
return
|
||||
|
||||
main_window = self.window()
|
||||
if hasattr(main_window, 'run_single_step'):
|
||||
config = {'step6': self.get_config()}
|
||||
main_window.run_single_step('step6', config)
|
||||
|
||||
def get_training_params(self):
|
||||
"""获取模型训练参数"""
|
||||
return {
|
||||
'pipeline_type': 'machine_learning',
|
||||
'feature_start': float(self.feature_start.text()),
|
||||
'cv_folds': self.cv_folds.value(),
|
||||
'preprocess_methods': [method for method, cb in self.preproc_checkboxes.items() if cb.isChecked()],
|
||||
'model_types': [model for model, cb in self.model_checkboxes.items() if cb.isChecked()],
|
||||
'split_methods': [method for method, cb in self.split_checkboxes.items() if cb.isChecked()]
|
||||
}
|
||||
Reference in New Issue
Block a user