classmethod rank([col1_weight, col2_weight...coln_weight]) col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate an expression classmethod bm25([col1_weight, col2_weight...coln_weight]) col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate an expression bm25f([col1_weight, col2_weight...coln_weight]) Identical to bm25(), except that it uses the BM25f variant of the BM25 ranking algorithm. classmethod lucene([col1_weight, col2_weight...coln_weight]) Identical

classmethod rank([col1_weight, col2_weight...coln_weight]) col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate an expression classmethod bm25([col1_weight, col2_weight...coln_weight]) col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate an expression bm25f([col1_weight, col2_weight...coln_weight]) Identical to bm25(), except that it uses the BM25f variant of the BM25 ranking algorithm. classmethod lucene([col1_weight, col2_weight...coln_weight]) Identical

classmethod rank([col1_weight, col2_weight...coln_weight]) col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate an expression classmethod bm25([col1_weight, col2_weight...coln_weight]) col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate an expression bm25f([col1_weight, col2_weight...coln_weight]) Identical to bm25(), except that it uses the BM25f variant of the BM25 ranking algorithm. classmethod lucene([col1_weight, col2_weight...coln_weight]) Identical

classmethod rank([col1_weight, col2_weight...coln_weight]) col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate an expression classmethod bm25([col1_weight, col2_weight...coln_weight]) col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate an expression bm25f([col1_weight, col2_weight...coln_weight]) Identical to bm25(), except that it uses the BM25f variant of the BM25 ranking algorithm. classmethod lucene([col1_weight, col2_weight...coln_weight]) Identical

classmethod rank([col1_weight, col2_weight...coln_weight]) Parameters col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate classmethod bm25([col1_weight, col2_weight...coln_weight]) Parameters col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate bm25f([col1_weight, col2_weight...coln_weight]) Identical to bm25(), except that it uses the BM25f variant of the BM25 ranking algorithm. classmethod lucene([col1_weight, col2_weight...coln_weight]) Identical

classmethod rank([col1_weight, col2_weight...coln_weight]) Parameters col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate classmethod bm25([col1_weight, col2_weight...coln_weight]) Parameters col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate bm25f([col1_weight, col2_weight...coln_weight]) Identical to bm25(), except that it uses the BM25f variant of the BM25 ranking algorithm. classmethod lucene([col1_weight, col2_weight...coln_weight]) Identical

classmethod rank([col1_weight, col2_weight...coln_weight]) Parameters col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate classmethod bm25([col1_weight, col2_weight...coln_weight]) Parameters col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate bm25f([col1_weight, col2_weight...coln_weight]) Identical to bm25(), except that it uses the BM25f variant of the BM25 ranking algorithm. classmethod lucene([col1_weight, col2_weight...coln_weight]) Identical

classmethod rank([col1_weight, col2_weight...coln_weight]) col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate an expression classmethod bm25([col1_weight, col2_weight...coln_weight]) col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate an expression bm25f([col1_weight, col2_weight...coln_weight]) Identical to bm25(), except that it uses the BM25f variant of the BM25 ranking algorithm. classmethod lucene([col1_weight, col2_weight...coln_weight]) Identical

classmethod rank([col1_weight, col2_weight...coln_weight]) Parameters col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate classmethod bm25([col1_weight, col2_weight...coln_weight]) Parameters col_weight (float) – (Optional) weight to give to the *i*th column of the model. By default all columns have a weight of 1.0. Generate bm25f([col1_weight, col2_weight...coln_weight]) Identical to bm25(), except that it uses the BM25f variant of the BM25 ranking algorithm. classmethod lucene([col1_weight, col2_weight...coln_weight]) Identical

def __init__(self): self.total_weight = 0.0 self.total_ct = 0.0 def step(self, value, wt=None): wt = wt or 1.0 self.total_weight += wt self.total_ct += wt * value value def finalize(self): if self.total_weight != 0.0: return self.total_ct / self.total_weight return 0.0 ext_db.adapter.register_aggregate(WeightedAverage, 2, 'weighted_avg')