remove reference to default args when it's clear from method signature
@@ -152,7 +152,7 @@ class DedupeMatching(IntegralMatching):
and the values are dictionaries with the keys being
field names
- threshold: Number between 0 and 1 (Default is 0.5). We
+ threshold: Number between 0 and 1. We
will only consider put together records into
clusters if the `cophenetic similarity
<https://en.wikipedia.org/wiki/Cophenetic>`_ of
@@ -318,8 +318,6 @@ class DedupeMatching(IntegralMatching):
Lowering the number will increase recall,
raising it will increase precision
- Defaults to 0.5.
-
.. code:: python
> pairs = matcher.pairs(data)
@@ -448,7 +446,7 @@ class RecordLinkMatching(IntegralMatching):
data_2: Dictionary of records from second dataset, same form
as data_1
- threshold: Number between 0 and 1 (default is .5). We
+ threshold: Number between 0 and 1. We
will consider records as potential
duplicates if the predicted probability of
being a duplicate is above the threshold.
@@ -551,7 +549,7 @@ class RecordLinkMatching(IntegralMatching):
should contains the similarity score for that
pair of records.
- threshold: Number between 0 and 1 (default is 0.0). We
+ threshold: Number between 0 and 1. We
will consider records as potential
duplicates if the predicted probability of
being a duplicate is above the threshold.
@@ -607,7 +605,7 @@ class RecordLinkMatching(IntegralMatching):
should contains the similarity score for that
pair of records.
- threshold: Number between 0 and 1 (default is 0.0). We
+ threshold: Number between 0 and 1. We
will consider records as potential
duplicates if the predicted probability of
being a duplicate is above the threshold.
@@ -829,7 +827,7 @@ class GazetteerMatching(Matching):
should contains the similarity score for that
pair of records.
- threshold: Number between 0 and 1 (default is 0.0). We
+ threshold: Number between 0 and 1. We
will consider records as potential
duplicates if the predicted probability of
being a duplicate is above the threshold.
@@ -866,9 +864,8 @@ class GazetteerMatching(Matching):
the values are dictionaries with the keys
being field names.
- threshold: a number between 0 and 1 (default is
- 0.5). We will consider records as
- potential duplicates if the predicted
+ threshold: a number between 0 and 1. We will consider
+ records as potential duplicates if the predicted
probability of being a duplicate is
above the threshold.
@@ -879,10 +876,9 @@ class GazetteerMatching(Matching):
canonical_data to return for each record in
data. If set to `None` all possible
matches above the threshold will be
- returned. Defaults to 1
+ returned.
generator: when `True`, match will generate a sequence of
- possible matches, instead of a list. Defaults
- to `False` This makes `match` a lazy method.
+ possible matches, instead of a list.
.. code:: python
