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Review fixes.

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This commit is contained in:
Yuri Gorshenin 2016-03-24 17:37:16 +03:00
parent b5af3115c4
commit 451f82242f
1 changed files with 5 additions and 7 deletions
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12
search/search_quality/scoring_model.py
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@ -110,21 +110,19 @@ def transform_data(data):
linear SVM.
"""
grouped = data.groupby(data['SampleId'], sort=False).groups
grouped = data.groupby(data['SampleId'], sort=False)
xs, ys = [], []
# k is used to create a balanced samples set for better linear
# separation.
k = 1
for id in grouped:
indices = grouped[id]
features = data.ix[indices][FEATURES]
relevances = np.array(data.ix[indices]['Relevance'])
for _, group in grouped:
features, relevances = group[FEATURES], group['Relevance']
n, total = len(indices), 0
n, total = len(group), 0
for _, (i, j) in enumerate(itertools.combinations(range(n), 2)):
y = np.sign(relevances[j] - relevances[i])
y = np.sign(relevances.iloc[j] - relevances.iloc[i])
if y == 0:
continue