def analysis_pdf():
file_name = request.args.get("filename")
anlz_details = UserData.get_result(g.user["id"], file_name)
anlz_details_set = {
"filename": anlz_details['filename'],
"an_overlap_hash": anlz_details['an_overlap_hash'],
"an_cls_hash": anlz_details['an_cls_hash'],
"an_crr_hash": anlz_details['an_crr_hash'],
"col_selected_method": anlz_details['col_selected_method'],
"selected_method": anlz_details['selected_method'],
"an_crr_1_hash": anlz_details['an_crr_1_hash'],
"an_crr_2_hash": anlz_details['an_crr_2_hash'],
"selected_roc_pic_hash": anlz_details['selected_roc_pic_hash'],
"all_roc_pic_hash": anlz_details['an_crr_2_hash'],
"col_overlapped": anlz_details['col_overlapped']
}
return render_template("pdf/analysis_pdf.html",
anlz_details_set=anlz_details_set,
corr_classification_accuracy=anlz_details[
'corr_classification_accuracy'],
result_data_1=anlz_details['result_data_1'],
result_data_2=anlz_details['result_data_2'])
def get_results_for_modeling():
filename = request.args.get('filename')
user_id = g.user['id']
result = UserData.get_result(user_id, filename)
result = '|'.join(str(r) for r in result)
return result
def create_model():
user_id = g.user['id']
available_file = request.form["available_files"]
classifier = request.form["classifier"]
available_result_file = request.form["available_result"]
result = UserData.get_result(user_id, available_result_file)
score = create_model_pkl(user_id, available_file, classifier, result)
if score is None:
return redirect('/mod/?s=0')
else:
return redirect('/mod/?s=1&a=' + str(score))
def feature_selection_pdf():
file_name = request.args.get("filename")
feature_details = UserData.get_result(g.user["id"], file_name)
feature_details_set = {
"filename": feature_details['filename'],
"fs_methods": feature_details['fs_methods'],
"col_method1": feature_details['col_method1'],
"col_method2": feature_details['col_method2'],
"col_method3": feature_details['col_method3']
}
return render_template("pdf/feature_pdf.html",
feature_details=feature_details_set,
venn_data=feature_details['venn_data_set'],
fs_hash=feature_details['fs_hash'])
