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Reduce number inferences in dice random #127

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Merged
amit-sharma merged 3 commits into from
Apr 28, 2021
Merged

Reduce number inferences in dice random #127

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3af0c46
Redice number of inference calls DiceRandom
gaugup Apr 25, 2021
c1d4859
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gaugup Apr 25, 2021
d3f6a6b
corrected typo to model_predictions
amit-sharma Apr 27, 2021
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8 changes: 6 additions & 2 deletions dice_ml/explainer_interfaces/dice_random.py
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Original file line number Diff line number Diff line change
Expand Up @@ -63,14 +63,18 @@ def _generate_counterfactuals(self, query_instance, total_CFs, desired_range, d
else: # compute the new ranges based on user input
self.feature_range, feature_ranges_orig = self.data_interface.get_features_range(permitted_range)

# Do predictions once on the query_instance and reuse across to reduce the number
# inferences.
model_predictions = self.predict_fn(query_instance)

# number of output nodes of ML model
self.num_output_nodes = None
if self.model.model_type == "classifier":
self.num_output_nodes = self.predict_fn(query_instance).shape[1]
self.num_output_nodes = model_predictions.shape[1]

# query_instance need no transformation for generating CFs using random sampling.
# find the predicted value of query_instance
test_pred = self.predict_fn(query_instance)[0]
test_pred = model_predictions[0]
if self.model.model_type == 'classifier':
self.target_cf_class = self.infer_target_cfs_class(desired_class, test_pred, self.num_output_nodes)
elif self.model.model_type == 'regressor':
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