2024-06-04 16:25:00 +02:00

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This rule raises an issue when an attribute ending with ``++_++`` is set in the ``++__init__++`` method of a class inheriting from
Scikit-Learn `BaseEstimator`
== Why is this an issue?
On a Scikit-Learn estimator, attributes that have a trailing underscore represent attributes that are estimated.
These attributes have to be set in the fit method. Their presence is used to verify if an estimator has been fitted.
[source,python]
----
from sklearn.neighbors import KNeighborsClassifier
X = [[0], [1], [2], [3]]
y = [0, 0, 1, 1]
knn = KNeighborsClassifier(n_neighbors=1)
knn.fit(X, y)
knn.n_samples_fit_
----
In the example above the attributes of the `KNeighborsClassifier`, ``++n_samples_fit_++``
is set only after the estimator's `fit` method is called. Calling ``++n_samples_fit_++`` before the estimator is fitted
would raise an `AttributeError` exception.
When implementing a custom estimator by subclassing Scikit-Learn's `BaseEstimator`,
it is important to follow the above convention and not set attributes with a trailing underscore inside the ``++__init__++`` method.
== How to fix it
To fix this issue, move the attributes with a trailing underscore from the ``++__init__++`` method to the `fit` method.
=== Code examples
==== Noncompliant code example
[source,python,diff-id=1,diff-type=noncompliant]
----
from sklearn.base import BaseEstimator
class MyEstimator(BaseEstimator):
def __init__(self):
self.estimated_attribute_ = None # Noncompliant: an estimated attribute is set in the __init__ method.
----
==== Compliant solution
[source,python,diff-id=1,diff-type=compliant]
----
from sklearn.base import BaseEstimator
class MyEstimator(BaseEstimator):
def fit(self, X, y):
self.estimated_attribute_ = some_estimation(X) # Compliant
----
== Resources
=== Documentation
* Scikit-Learn documentation - https://scikit-learn.org/stable/developers/develop.html#parameters-and-init[Parameters and init]
ifdef::env-github,rspecator-view[]
(visible only on this page)
== Implementation specification
Verify that subclasses of BaseEstimator do not have attributes with a trailing underscore in the __init__ method.
Verify that inherited alongside BaseEstimator do not have attributes with a trailing underscore in the __init__ method.
=== Message
Primary : Move this estimated attribute inside the `fit` method.
Secondary: this attributes is used in this estimator (in the case of mixins)
=== Issue location
Primary : name of the attribute
Secondary : the name of the estimator subclassing the mixin and the BaseEstimator
=== Quickfix
Possible quickfix if the `fit` method does not exist. (Add the fit method with the estimated attribute) and delete the estimated attributes
from the __init__ method. This is only possible in an estimator directly subclassing BaseEstimator.
endif::env-github,rspecator-view[]