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Fix doc of windowed_mean|variance to match implementation #1599

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Fix doc of windowed_mean|variance to match implementation #1599

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627625b
Fix doc of `windowed_variance` to match implementation
nicolaspi Aug 5, 2022
1811efb
Fix doc of `windowed_mean` to match implementation
nicolaspi Aug 7, 2022
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4 changes: 2 additions & 2 deletions tensorflow_probability/python/stats/sample_stats.py
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Original file line number Diff line number Diff line change
Expand Up @@ -712,7 +712,7 @@ def windowed_variance(

Computes variances among data in the Tensor `x` along the given windows:

result[i] = variance(x[low_indices[i]:high_indices[i]+1])
result[i] = variance(x[low_indices[i]:high_indices[i]])

accurately and efficiently. To wit, if K is the size of
`low_indices` and `high_indices`, and `N` is the size of `x` along
Expand Down Expand Up @@ -829,7 +829,7 @@ def windowed_mean(

Computes means among data in the Tensor `x` along the given windows:

result[i] = mean(x[low_indices[i]:high_indices[i]+1])
result[i] = mean(x[low_indices[i]:high_indices[i]])

efficiently. To wit, if K is the size of `low_indices` and
`high_indices`, and `N` is the size of `x` along the given `axis`,
Expand Down