def send_report(self):
if self.data is None:
return
caption = report.render_items_vert(
(("Number of centroids:", self.number_of_clusters), ))
self.report_plot(self.scatter)
self.report_caption(caption)
def send_report(self):
if self.data is None:
return
caption = report.render_items_vert(
(("Polynomial Expansion: ", self.polynomialexpansion), ))
self.report_plot(self.plot)
if caption:
self.report_caption(caption)
def send_report(self):
if self.data is None:
return
caption = report.render_items_vert((
("Number of centroids:", self.number_of_clusters),
))
self.report_plot(self.scatter)
self.report_caption(caption)
def send_report(self):
if self.data is None:
return
caption = report.render_items_vert(
(("Polynomial Expansion", self.degree), ))
self.report_plot(self.scatter)
if caption:
self.report_caption(caption)
def send_report(self):
if self.data is None:
return
caption = report.render_items_vert((
("Polynomial Expansion", self.degree),
))
self.report_plot(self.scatter)
if caption:
self.report_caption(caption)
def send_report(self):
if self.data is None:
return
caption = report.render_items_vert((
("Polynomial Expansion: ", self.polynomialexpansion),
))
self.report_plot(self.plot)
if caption:
self.report_caption(caption)
def send_report(self):
if self.data is None:
return
caption_items = (("Target class", self.target_class),
("Learning rate", self.alpha), ("Stochastic",
str(self.stochastic)))
if self.stochastic:
caption_items += (("Stochastic step size", self.step_size), )
caption = report.render_items_vert(caption_items)
self.report_plot(self.scatter)
self.report_caption(caption)
def send_report(self):
if self.data is None:
return
self.report_plot()
caption = report.render_items_vert((
("Color", self.color_value != "Same color" and self.color_value),
("Shape", self.shape_value != "Same shape" and self.shape_value),
("Size", self.size_value != "Same size" and self.size_value),
("Labels", self.label_value != "No labels" and self.label_value)))
if caption:
self.report_caption(caption)
self.report_items((("Output", self.output_combo.currentText()),))
def send_report(self):
if self.data is None:
return
caption_items = (
("Target class", self.target_class),
("Learning rate", self.alpha),
("Stochastic", str(self.stochastic))
)
if self.stochastic:
caption_items += (("Stochastic step size", self.step_size),)
caption = report.render_items_vert(caption_items)
self.report_plot(self.scatter)
self.report_caption(caption)
def send_report(self):
def name(var):
return var and var.name
caption = report.render_items_vert((
("Color", name(self.graph.attr_color)),
("Label", name(self.graph.attr_label)),
("Shape", name(self.graph.attr_shape)),
("Size", name(self.graph.attr_size)),
("Jittering", (self.attr_x.is_discrete or
self.attr_y.is_discrete or
self.graph.jitter_continuous) and
self.graph.jitter_size)))
self.report_plot()
if caption:
self.report_caption(caption)
def send_report(self):
if self.data is None:
return
def name(var):
return var and var.name
caption = report.render_items_vert((
("Color", name(self.graph.attr_color)),
("Label", name(self.graph.attr_label)),
("Shape", name(self.graph.attr_shape)),
("Size", name(self.graph.attr_size)),
("Jittering", self.graph.jitter_size != 0 and "{} %".format(self.graph.jitter_size))))
self.report_plot()
if caption:
self.report_caption(caption)
def send_report(self):
disc_attr = False
if self.data:
domain = self.data.domain
disc_attr = domain[self.attr_x].is_discrete or \
domain[self.attr_y].is_discrete
caption = report.render_items_vert((
("Color", self.combo_value(self.cb_attr_color)),
("Label", self.combo_value(self.cb_attr_label)),
("Shape", self.combo_value(self.cb_attr_shape)),
("Size", self.combo_value(self.cb_attr_size)),
("Jittering", (self.graph.jitter_continuous or disc_attr) and
self.graph.jitter_size)))
self.report_plot()
if caption:
self.report_caption(caption)
def send_report(self):
disc_attr = False
if self.data:
domain = self.data.domain
disc_attr = domain[self.attr_x].is_discrete or \
domain[self.attr_y].is_discrete
caption = report.render_items_vert(
(("Color", self.combo_value(self.cb_attr_color)),
("Label", self.combo_value(self.cb_attr_label)),
("Shape", self.combo_value(self.cb_attr_shape)),
("Size", self.combo_value(self.cb_attr_size)),
("Jittering", (self.graph.jitter_continuous or disc_attr)
and self.graph.jitter_size)))
self.report_plot()
if caption:
self.report_caption(caption)
def send_report(self):
if self.data is None:
return
def name(var):
return var and var.name
caption = report.render_items_vert((
("Color", name(self.graph.attr_color)),
("Label", name(self.graph.attr_label)),
("Shape", name(self.graph.attr_shape)),
("Size", name(self.graph.attr_size)),
("Jittering", self.graph.jitter_size != 0 and "{} %".format(self.graph.jitter_size))))
self.report_plot()
if caption:
self.report_caption(caption)
def send_report(self):
if self.data is None:
return
def name(var):
return var and var.name
def projection_name():
name = ("Circular Placement", "Linear Discriminant Analysis",
"Principal Component Analysis", "Input projection")
return name[self.placement]
caption = report.render_items_vert(
(("Projection", projection_name()), ("Color",
name(self.graph.attr_color)),
("Label", name(self.graph.attr_label)),
("Shape", name(self.graph.attr_shape)),
("Size", name(self.graph.attr_size)),
("Jittering", self.graph.jitter_size != 0
and "{} %".format(self.graph.jitter_size))))
self.report_plot()
if caption:
self.report_caption(caption)
def send_report(self):
if self.data is None:
return
def name(var):
return var and var.name
def projection_name():
name = ("Circular Placement",
"Linear Discriminant Analysis",
"Principal Component Analysis",
"Input projection")
return name[self.placement]
caption = report.render_items_vert((
("Projection", projection_name()),
("Color", name(self.graph.attr_color)),
("Label", name(self.graph.attr_label)),
("Shape", name(self.graph.attr_shape)),
("Size", name(self.graph.attr_size)),
("Jittering", self.graph.jitter_size != 0 and "{} %".format(self.graph.jitter_size))))
self.report_plot()
if caption:
self.report_caption(caption)