From de971cb795f7fbb9460664a9aaff9e2853a451ac Mon Sep 17 00:00:00 2001 From: tyler Date: Tue, 7 Nov 2023 09:34:38 -1000 Subject: [PATCH] removed whitespace --- docs/changelog.md | 4 +++- redvox/common/offset_model.py | 2 ++ 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/docs/changelog.md b/docs/changelog.md index d23b1ee9..7035d8c8 100644 --- a/docs/changelog.md +++ b/docs/changelog.md @@ -2,6 +2,8 @@ ### 3.8.0 (2023-11-2) * Replaced sklearn LinearRegression with a scipy version +* Removed sklearn from requirements +* Deprecated score property in OffsetModel * Various bug fixes and code improvements ### 3.7.0 (2023-10-23) @@ -704,7 +706,7 @@ ### 2.9.0 (2020-06-05) -* Add full fledged cloud based API client. This client seamlessly manages authentication tokens behind the scenes. +* Add full-fledged cloud based API client. This client seamlessly manages authentication tokens behind the scenes. * Update CLI data request methods to make use of new cloud based client. ### 2.8.7 (2020-06-03) diff --git a/redvox/common/offset_model.py b/redvox/common/offset_model.py index 51be0f03..4969f2ad 100644 --- a/redvox/common/offset_model.py +++ b/redvox/common/offset_model.py @@ -203,6 +203,7 @@ def __init__( binned_df = full_df.sort_values(by=["times"]) # Compute the weighted linear regression + self.score = 0.0 self.slope, zero_intercept = offset_weighted_linear_regression( latencies=binned_df["latencies"].values, offsets=binned_df["offsets"].values, @@ -224,6 +225,7 @@ def __init__( use_model = self.slope != 0.0 # if data or model is not sufficient, use the offset corresponding to the lowest latency: if not use_model: + self.score = 0.0 self.slope = 0.0 if all(np.nan_to_num(latencies) == 0.0): self.intercept = 0.0