def summarize(self, out=sys.stdout):
"""Prints a summary of the cluster info
"""
out.write(u"Cluster of %s centroids\n\n" % len(self.centroids))
out.write(u"Data distribution:\n")
print_distribution(self.get_data_distribution(), out=out)
out.write(u"\n\n")
centroids_list = sorted(self.centroids, key=lambda x: x.name)
out.write(u"Centroids features:\n")
for centroid in centroids_list:
out.write(utf8(u"\n%s: " % centroid.name))
connector = ""
for field_id, value in centroid.center.items():
if isinstance(value, basestring):
value = u"\"%s\"" % value
out.write(utf8(u"%s%s: %s" % (connector,
self.fields[field_id]['name'],
value)))
connector = ", "
out.write(u"\n\n")
out.write(u"Data distance statistics:\n\n")
for centroid in centroids_list:
centroid.print_statistics(out=out)
if len(self.centroids) > 1:
out.write(u"Intercentroids distance:\n\n")
for centroid in centroids_list:
out.write(utf8(u"To centroid: %s\n" % centroid.name))
for measure, result in self.centroids_distance(centroid):
out.write(u"%s%s: %s\n" % (INDENT, measure, result))
out.write(u"\n")
def summarize(self, out=sys.stdout):
"""Prints a summary of the cluster info
"""
out.write(u"Cluster of %s centroids\n\n" % len(self.centroids))
out.write(u"Data distribution:\n")
print_distribution(self.get_data_distribution(), out=out)
out.write(u"\n\n")
centroids_list = sorted(self.centroids, key=lambda x: x.name)
out.write(u"Centroids features:\n")
for centroid in centroids_list:
out.write(utf8(u"\n%s: " % centroid.name))
connector = ""
for field_id, value in centroid.center.items():
if isinstance(value, basestring):
value = u"\"%s\"" % value
out.write(
utf8(u"%s%s: %s" %
(connector, self.fields[field_id]['name'], value)))
connector = ", "
out.write(u"\n\n")
out.write(u"Data distance statistics:\n\n")
for centroid in centroids_list:
centroid.print_statistics(out=out)
out.write(u"Intercentroids distance:\n\n")
for centroid in centroids_list:
out.write(utf8(u"To centroid: %s\n" % centroid.name))
for measure, result in self.centroids_distance(centroid):
out.write(u"%s%s: %s\n" % (INDENT, measure, result))
out.write(u"\n")
def summarize(self, out=sys.stdout):
"""Prints a summary of the cluster info
"""
report_header = ''
if self.is_g_means:
report_header = \
u'G-means Cluster (critical_value=%d)' % self.critical_value
else:
report_header = u'K-means Cluster (k=%d)' % self.k
out.write(report_header + ' with %d centroids\n\n' %
len(self.centroids))
out.write(u"Data distribution:\n")
# "Global" is set as first entry
self.print_global_distribution(out=out)
print_distribution(self.get_data_distribution(), out=out)
out.write(u"\n")
centroids_list = [self.cluster_global] if self.cluster_global else []
centroids_list.extend(sorted(self.centroids, key=lambda x: x.name))
out.write(u"Cluster metrics:\n")
self.print_ss_metrics(out=out)
out.write(u"\n")
out.write(u"Centroids:\n")
for centroid in centroids_list:
out.write(utf8(u"\n%s%s: " % (INDENT, centroid.name)))
connector = ""
for field_id, value in centroid.center.items():
if isinstance(value, basestring):
value = u"\"%s\"" % value
out.write(utf8(u"%s%s: %s" % (connector,
self.fields[field_id]['name'],
value)))
connector = ", "
out.write(u"\n\n")
out.write(u"Distance distribution:\n\n")
for centroid in centroids_list:
centroid.print_statistics(out=out)
out.write(u"\n")
if len(self.centroids) > 1:
out.write(u"Intercentroid distance:\n\n")
centroids_list = (centroids_list[1:] if self.cluster_global else
centroids_list)
for centroid in centroids_list:
out.write(utf8(u"%sTo centroid: %s\n" % (INDENT,
centroid.name)))
for measure, result in self.centroids_distance(centroid):
out.write(u"%s%s: %s\n" % (INDENT * 2, measure, result))
out.write(u"\n")
def summarize(self, out=sys.stdout):
"""Prints a summary of the cluster info
"""
report_header = ''
if self.is_g_means:
report_header = \
u'G-means Cluster (critical_value=%d)' % self.critical_value
else:
report_header = u'K-means Cluster (k=%d)' % self.k
out.write(report_header + ' with %d centroids\n\n' %
len(self.centroids))
out.write(u"Data distribution:\n")
# "Global" is set as first entry
self.print_global_distribution(out=out)
print_distribution(self.get_data_distribution(), out=out)
out.write(u"\n")
centroids_list = [self.cluster_global] if self.cluster_global else []
centroids_list.extend(sorted(self.centroids, key=lambda x: x.name))
out.write(u"Cluster metrics:\n")
self.print_ss_metrics(out=out)
out.write(u"\n")
out.write(u"Centroids:\n")
for centroid in centroids_list:
out.write(utf8(u"\n%s%s: " % (INDENT, centroid.name)))
connector = ""
for field_id, value in centroid.center.items():
if isinstance(value, basestring):
value = u"\"%s\"" % value
out.write(utf8(u"%s%s: %s" % (connector,
self.fields[field_id]['name'],
value)))
connector = ", "
out.write(u"\n\n")
out.write(u"Distance distribution:\n\n")
for centroid in centroids_list:
centroid.print_statistics(out=out)
out.write(u"\n")
if len(self.centroids) > 1:
out.write(u"Intercentroid distance:\n\n")
centroids_list = (centroids_list[1:] if self.cluster_global else
centroids_list)
for centroid in centroids_list:
out.write(utf8(u"%sTo centroid: %s\n" % (INDENT,
centroid.name)))
for measure, result in self.centroids_distance(centroid):
out.write(u"%s%s: %s\n" % (INDENT * 2, measure, result))
out.write(u"\n")
def summarize(self, out=sys.stdout):
"""Prints ensemble summary. Only field importance at present.
"""
distribution = self.get_data_distribution("training")
out.write(u"Data distribution:\n")
print_distribution(distribution, out=out)
out.write(u"\n\n")
predictions = self.get_data_distribution("predictions")
out.write(u"Predicted distribution:\n")
print_distribution(predictions, out=out)
out.write(u"\n\n")
out.write(u"Field importance:\n")
self.print_importance(out=out)
out.flush()
def summarize(self, out=sys.stdout):
"""Prints ensemble summary. Only field importance at present.
"""
distribution = self.get_data_distribution("training")
out.write(u"Data distribution:\n")
print_distribution(distribution, out=out)
out.write(u"\n\n")
predictions = self.get_data_distribution("predictions")
out.write(u"Predicted distribution:\n")
print_distribution(predictions, out=out)
out.write(u"\n\n")
out.write(u"Field importance:\n")
self.print_importance(out=out)
out.flush()