From 509802d8c6321fde6910492d86dfe4d65ca11234 Mon Sep 17 00:00:00 2001
From: Gaurav Gupta <47334368+gaugup@users.noreply.github.com>
Date: Tue, 27 Apr 2021 23:57:47 -0700
Subject: [PATCH] Reduce number inferences in dice random (#127)
* Redice number of inference calls DiceRandom
Signed-off-by: gaugup <gaugup@microsoft.com>
* Added comment
Signed-off-by: gaugup <gaugup@microsoft.com>
* corrected typo to model_predictions
Co-authored-by: Amit Sharma <amit_sharma@live.com>
---
dice_ml/explainer_interfaces/dice_random.py | 8 ++++++--
1 file changed, 6 insertions(+), 2 deletions(-)
diff --git a/dice_ml/explainer_interfaces/dice_random.py b/dice_ml/explainer_interfaces/dice_random.py
index 6fd65a5f..5fe72e79 100644
--- a/dice_ml/explainer_interfaces/dice_random.py
+++ b/dice_ml/explainer_interfaces/dice_random.py
@@ -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':