def send_report(self):
if self.results is None:
return
caption = report.list_legend(self.classifiers_list_box,
self.selected_classifiers)
self.report_items((("Target class", self.target_cb.currentText()), ))
self.report_plot()
self.report_caption(caption)
def send_report(self):
if self.results is None:
return
caption = report.list_legend(self.classifiers_list_box,
self.selected_classifiers)
self.report_items((("Target class", self.target_cb.currentText()),))
self.report_plot()
self.report_caption(caption)
def send_report(self):
if self.results is None:
return
items = OrderedDict()
items["Target class"] = self.target_cb.currentText()
if self.display_perf_line:
items["Costs"] = \
"FP = {}, FN = {}".format(self.fp_cost, self.fn_cost)
items["Target probability"] = "{} %".format(self.target_prior)
caption = report.list_legend(self.classifiers_list_box,
self.selected_classifiers)
self.report_items(items)
self.report_plot()
self.report_caption(caption)
def send_report(self):
if self.results is None:
return
items = OrderedDict()
items["Target class"] = self.target_cb.currentText()
if self.display_perf_line:
items["Costs"] = \
"FP = {}, FN = {}".format(self.fp_cost, self.fn_cost)
items["Target probability"] = "{} %".format(self.target_prior)
caption = report.list_legend(self.classifiers_list_box,
self.selected_classifiers)
self.report_items(items)
self.report_plot()
self.report_caption(caption)
def send_report(self):
if self.results is None:
return
self.report_items(
(("Target class", self.target_cb.currentText()),
("Output model calibration", self.score == 0
and ("Sigmoid calibration",
"Isotonic calibration")[self.output_calibration])))
caption = report.list_legend(self.classifiers_list_box,
self.selected_classifiers)
self.report_plot()
self.report_caption(caption)
self.report_caption(self.controls.score.currentText())
if self.score != 0:
self.report_raw(self.get_info_text(short=False))
