def lbd_actual_and_predicted_values(input_dict):
bterms = input_dict['bterms']
bow_model_constructor = input_dict['bow_model_constructor']
vocabulary = bow_model_constructor._vocab_to_idx()
actual_values = [0] * len(vocabulary)
for bterm in bterms:
if bterm in vocabulary:
actual_values[vocabulary[bterm]] = 1
#print bterm
heuristics = flatten(input_dict['heuristics'])
return {
'apv': [{
'name': h.name,
'predicted': list(h.scores),
'actual': actual_values
} for h in heuristics]
}
def lbd_select_ensemble_heuristic_post(postdata, input_dict, output_dict):
widget_id = postdata.get('widget_id')[0]
from workflows.textflows_dot_net.serialization_utils import ToNetObj
import LatinoInterfaces
output_dict = {}
output_dict['serialized_adc'] = LatinoInterfaces.LatinoCF.Save(
ToNetObj(input_dict['adc']))
output_dict['vocabulary'] = input_dict[
'bow_model_constructor'].get_feature_names()
output_dict['heuristic_scores'] = [{
'name': hevr.name,
'scores': hevr.scores.tolist()
} for hevr in flatten(input_dict['heuristic_scores'])]
output_dict['bterms'] = input_dict['bterms']
output_dict['serialized_dataset'] = LatinoInterfaces.LatinoCF.Save(
ToNetObj(input_dict['dataset']))
#output_dict['primary_heuristic_index']=input_dict['primary_heuristic_index']
output_dict['primary_heuristic_index'] = int(
postdata.get('heuristic_index', [-1])[0])
return output_dict #{'heuristic_index': selected_heuristic}
def lbd_heuristic_min(input_dict):
heuristic_names = flatten(input_dict.get('heuristics', []))
return {'heuristic': ('Min', heuristic_names)}
def lbd_ensemble_average_position(input_dict):
heuristic_names = flatten(input_dict['heuristics'])
return {'heuristic': ('AvgPos', heuristic_names)}
def lbd_ensemble_heuristic_vote(input_dict):
heuristic_names = flatten(input_dict['heuristics'])
return {'heuristic': ('Vote', heuristic_names)}
def lbd_heuristic_norm(input_dict):
heuristic_names = flatten(input_dict.get('heuristics', []))
return {
'norm_heuristics':
[('Norm', heuristic_name) for heuristic_name in heuristic_names]
}
def lbd_heuristic_sum(input_dict):
heuristic_names = flatten(input_dict.get('heuristics', []))
return {'heuristic': ('Sum', heuristic_names)}
def lbd_select_ensemble_heuristic(request, input_dict, output_dict, widget):
heuristics = [h.name for h in flatten(input_dict['heuristic_scores'])]
return render(request, 'interactions/lbd_select_ensemble_heuristic.html', {
'heuristics': heuristics,
'widget': widget
})