def send_report(self):
if self.dataset is None:
return
caption = report.list_legend(self.z_values_view,
self.selected_z_values)
self.report_plot()
self.report_caption(caption)
def send_report(self):
if self.dataset is None:
return
caption = report.list_legend(self.z_values_view,
self.selected_z_values)
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
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
classifiers = self.selected_classifiers
results = [
pvr_curve_from_results(self.results, self.target_index, clf_idx)
for clf_idx in classifiers
]
averagePrecisions = pg.OrderedDict([
(self.classifier_names[clf_idx],
"{:.3f}".format(results[clf_idx][3])) for clf_idx in classifiers
])
caption = report.list_legend(self.classifiers_list_box,
self.selected_classifiers)
self.report_items(
(("Target class", self.target_cb.currentText()),
("Average precisions", tuple(averagePrecisions.items()))))
self.report_plot()
self.report_caption(caption)
