def sendReport(self):
settings = [("Distance measure",
self.distanceMeasures[self.distanceMeasure][0]),
("Initialization",
self.initializations[self.initializationType][0]),
("Restarts",
self.restarts)]
if self.optimized:
self.reportSettings("Settings", settings)
self.reportSettings("Optimization",
[("Minimum num. of clusters",
self.optimizationFrom),
("Maximum num. of clusters",
self.optimizationTo),
("Scoring method",
self.scoringMethods[self.scoring][0])])
else:
self.reportSettings("Settings",
settings + [("Number of clusters (K)",
self.K)])
self.reportData(self.data)
if self.optimized:
import OWReport
self.reportSection("Cluster size optimization report")
self.reportRaw(OWReport.reportTable(self.table))
def sendReport(self):
qTableInstance = self.tabs.currentWidget()
id = self.table2id.get(qTableInstance, None)
data = self.data.get(id, None)
self.reportData(data)
table = self.id2table[id]
import OWReport
self.reportRaw(OWReport.reportTable(table))
def sendReport(self):
self.reportSettings("Output", [("Remove unused values/attributes", self.purgeAttributes),
("Remove unused classes", self.purgeClasses)])
text = "<table>\n<th>Attribute</th><th>Condition</th><th>Value</th>/n"
for i, cond in enumerate(self.Conditions):
if cond.type == "OR":
text += "<tr><td span=3>\"OR\"</td></tr>\n"
else:
text += "<tr><td>%s</td><td>%s</td><td>%s</td></tr>\n" % (cond.varName, repr(cond.operator), cond.val1)
text += "</table>"
import OWReport
self.reportSection("Conditions")
self.reportRaw(OWReport.reportTable(self.criteriaTable))
def sendReport(self):
self.reportSettings("Output", [("Remove unused values/attributes", self.purgeAttributes),
("Remove unused classes", self.purgeClasses)])
text = "<table>\n<th>Attribute</th><th>Condition</th><th>Value</th>/n"
for i, cond in enumerate(self.Conditions):
if cond.type == "OR":
text += "<tr><td span=3>\"OR\"</td></tr>\n"
else:
text += "<tr><td>%s</td><td>%s</td><td>%s</td></tr>\n" % (cond.varName, repr(cond.operator), cond.val1)
text += "</table>"
import OWReport
self.reportSection("Conditions")
self.reportRaw(OWReport.reportTable(self.criteriaTable))
def sendReport(self):
settings = [("Distance measure", self.distanceMeasures[self.distanceMeasure][0]),
("Initialization", self.initializations[self.initializationType][0]),
("Restarts", self.restarts)]
if self.optimized:
self.reportSettings("Settings", settings)
self.reportSettings("Optimization", [("Minimum num. of clusters", self.optimizationFrom),
("Maximum num. of clusters", self.optimizationTo),
("Scoring method", self.scoringMethods[self.scoring][0])])
else:
self.reportSettings("Settings", settings + [("Number of clusters (K)", self.K)])
self.reportData(self.data)
if self.optimized:
self.reportSection("Cluster size optimization report")
import OWReport
self.reportRaw(OWReport.reportTable(self.table))
def sendReport(self):
import OWReport
self.reportData(self.data, "Original data")
self.reportData(self.dataout, "Output data")
self.reportSection("Missing values by features")
self.reportRaw(OWReport.reportTable(self.table))
def sendReport(self):
import OWReport
self.reportData(self.data, "Original data")
self.reportData(self.dataout, "Output data")
self.reportSection("Missing values by features")
self.reportRaw(OWReport.reportTable(self.table))
