def docstring(self): """Returns the docstring describing the model. """ docstring = u"Predictor for %s from %s\n" % (self.fields[self.tree.objective_id]["name"], self.resource_id) self.description = ( unicode(markdown_cleanup(self.description).strip()) or u"Predictive model by BigML - Machine Learning Made Easy" ) docstring += u"\n" + INDENT * 2 + (u"%s" % prefix_as_comment(INDENT * 2, self.description)) return docstring
def docstring(self): """Returns the docstring describing the model. """ docstring = ( u"Predictor for %s from %s\n" % (self.fields[self.tree.objective_id]['name'], self.resource_id)) self.description = ( unicode(markdown_cleanup(self.description).strip()) or u'Predictive model by BigML - Machine Learning Made Easy') docstring += u"\n" + INDENT * 2 + ( u"%s" % prefix_as_comment(INDENT * 2, self.description)) return docstring
def docstring(model): """Returns the docstring describing the model. """ objective_name = model.fields[model.objective_id]['name'] if \ not model.boosting else \ model.fields[model.boosting["objective_field"]]['name'] docstring_cmt = ("Predictor for %s from %s\n" % (objective_name, model.resource_id)) model.description = ( str(markdown_cleanup(model.description).strip()) or 'Predictive model by BigML - Machine Learning Made Easy') docstring_cmt += "\n" + INDENT * 2 + ( "%s" % prefix_as_comment(INDENT * 2, model.description)) return docstring_cmt