Double backticks on hll, fix type on frequent items
diff --git a/docs/source/frequent_items.rst b/docs/source/frequent_items.rst index a8f5a29..3bcc8f8 100644 --- a/docs/source/frequent_items.rst +++ b/docs/source/frequent_items.rst
@@ -1,7 +1,7 @@ Frequent Items -------------- -.. currentmodule:: dataskethches +.. currentmodule:: datasketches This sketch is useful for tracking approximate frequencies of items of type `<T>` with optional associated counts `(<T> item, int count)` that are members of a multiset of such items.
diff --git a/docs/source/hyper_log_log.rst b/docs/source/hyper_log_log.rst index 3e4f985..287209b 100644 --- a/docs/source/hyper_log_log.rst +++ b/docs/source/hyper_log_log.rst
@@ -7,10 +7,10 @@ This implementation offers three different types of HLL sketch, each with different trade-offs with accuracy, space and performance. These types are specified with the target_hll_type parameter. -In terms of accuracy, all three types, for the same lg_config_k, have the same error distribution as a function of `n`, the number of unique values fed to the sketch. -The configuration parameter `lg_config_k` is the log-base-2 of `k`, where `k`` is the number of buckets or slots for the sketch. +In terms of accuracy, all three types, for the same lg_config_k, have the same error distribution as a function of ``n``, the number of unique values fed to the sketch. +The configuration parameter ``lg_config_k`` is the log-base-2 of ``k``, where ``k`` is the number of buckets or slots for the sketch. -During warmup, when the sketch has only received a small number of unique items (up to about 10% of `k`), this implementation leverages a new class of estimator algorithms with significantly better accuracy. +During warmup, when the sketch has only received a small number of unique items (up to about 10% of ``k``), this implementation leverages a new class of estimator algorithms with significantly better accuracy. .. autoclass:: _datasketches.tgt_hll_type