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 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)