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interpretml · Jan 15, 2025 · 6911ddb · 6911ddb
1 parent 45c959b
commit 6911ddb
Showing 1 changed file with 36 additions and 19 deletions.
diff --git a/python/interpret-core/interpret/glassbox/_ebm/_ebm.py b/python/interpret-core/interpret/glassbox/_ebm/_ebm.py
@@ -1075,14 +1075,14 @@ def fit(self, X, y, sample_weight=None, bags=None, init_score=None):
                 init_score_local = init_score_local[bag != 0]
 
             import sys
-            sys.stderr.write(" paul ")
-            sys.stderr.write(str(int(sum(dataset)) % 256))
-            sys.stderr.write(" eats ")
-            if rngs[idx] is not None:
-                sys.stderr.write(str(int(sum(rngs[idx])) % 256))
-            sys.stderr.write(" worms ")
-            sys.stderr.write(str(sum(bagged_intercept[idx])))
-            sys.stderr.write(" tonight ")
+            # sys.stderr.write(" paul ")
+            # sys.stderr.write(str(int(sum(dataset)) % 256))
+            # sys.stderr.write(" eats ")
+            # if rngs[idx] is not None:
+            #     sys.stderr.write(str(int(sum(rngs[idx])) % 256))
+            # sys.stderr.write(" worms ")
+            # sys.stderr.write(str(sum(bagged_intercept[idx])))
+            # sys.stderr.write(" tonight ")
 
             parallel_args.append(
                 (
@@ -1154,17 +1154,17 @@ def fit(self, X, y, sample_weight=None, bags=None, init_score=None):
             rngs.append(bagged_rng)
 
 
-            import sys
-            sys.stderr.write(" peter ")
-            sys.stderr.write(str(intercept_update))
-            sys.stderr.write(" asfdasdf ")
-            sys.stderr.write(str(sum(np.sum(m) for m in model)))
-            sys.stderr.write(" mmmm ")
-            sys.stderr.write(str(bag_best_iteration))
-            sys.stderr.write(" never ")
-            if bagged_rng is not None:
-                sys.stderr.write(str(int(sum(bagged_rng)) % 256))
-            sys.stderr.write(" asdadf ")
+            # import sys
+            # sys.stderr.write(" peter ")
+            # sys.stderr.write(str(intercept_update))
+            # sys.stderr.write(" asfdasdf ")
+            # sys.stderr.write(str(sum(np.sum(m) for m in model)))
+            # sys.stderr.write(" mmmm ")
+            # sys.stderr.write(str(bag_best_iteration))
+            # sys.stderr.write(" never ")
+            # if bagged_rng is not None:
+            #     sys.stderr.write(str(int(sum(bagged_rng)) % 256))
+            # sys.stderr.write(" asdadf ")
 
 
         while True:  # this isn't for looping. Just for break statements to exit
@@ -1483,6 +1483,23 @@ def fit(self, X, y, sample_weight=None, bags=None, init_score=None):
             bagged_intercept, bagged_scores, bin_weights, bag_weights
         )
 
+
+        import sys
+        sys.stderr.write(" quisnass ")
+        sys.stderr.write(str(intercept))
+        sys.stderr.write(" asfdasdf ")
+        sys.stderr.write(str(sum(np.sum(m) for m in term_scores)))
+        sys.stderr.write(" mmmm ")
+        sys.stderr.write(str(sum(np.sum(m) for m in standard_deviations)))
+        sys.stderr.write(" ddkdkkdkd ")
+        if rng is not None:
+            sys.stderr.write(str(int(sum(rng)) % 256))
+        sys.stderr.write(" asdadf ")
+
+
+
+
+
         if not is_differential_privacy:
             scores = ebm_predict_scores(
                 X,