naming

guestrin-lab · Oct 29, 2024 · 15a8718 · 15a8718
1 parent 51952b0
commit 15a8718
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Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/lotus/sem_ops/cascade_utils.py b/lotus/sem_ops/cascade_utils.py
@@ -10,7 +10,7 @@ def importance_sampling(
     """Uses importance sampling and returns the list of indices from which to learn cascade thresholds."""
 
     w = np.sqrt(proxy_scores)
-    is_weight = lotus.settings.is_weight
+    is_weight = lotus.settings.cascade_is_weight
     w = is_weight * w / np.sum(w) + (1 - is_weight) * np.ones((len(proxy_scores))) / len(proxy_scores)
     indices = np.arange(len(proxy_scores))
     sample_size = (int) (sample_percentage * len(proxy_scores))
@@ -21,7 +21,7 @@ def importance_sampling(
 
 def calibrate_llm_logprobs(true_probs: list[float]) -> list[float]:
     """Transforms true probabilities to calibrate LLM proxies."""
-    num_quantiles = lotus.settings.num_helper_lm_calibration_quantiles
+    num_quantiles = lotus.settings.cascade_num_calibration_quantiles
     quantile_values = np.percentile(true_probs, np.linspace(0, 100, num_quantiles + 1))
     true_probs = ((np.digitize(true_probs, quantile_values) - 1) / num_quantiles)
     true_probs = np.clip(true_probs, 0, 1)

diff --git a/lotus/settings.py b/lotus/settings.py
@@ -113,4 +113,4 @@ def __repr__(self) -> str:
 
 # set defaults
 settings = Settings()
-settings.configure(is_weight=0.5, num_helper_lm_calibration_quantiles=50)
+settings.configure(cascade_is_weight=0.5, cascade_num_calibration_quantiles=50)