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add balanced class functionality #53

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add balanced class functionality #53

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10 changes: 9 additions & 1 deletion skrules/skope_rules.py
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Original file line number Diff line number Diff line change
Expand Up @@ -95,6 +95,11 @@ class SkopeRules(BaseEstimator):
`ceil(min_samples_split * n_samples)` are the minimum
number of samples for each split.

class_weight: dict, list of dict or "balanced", default=None
The weights to be used for the DecisionTreeClassifier. Weights associated
with classes in the form {class_label: weight}. If None,
all classes are supposed to have weight one.

n_jobs : integer, optional (default=1)
The number of jobs to run in parallel for both `fit` and `predict`.
If -1, then the number of jobs is set to the number of cores.
Expand Down Expand Up @@ -150,6 +155,7 @@ def __init__(self,
max_depth_duplication=None,
max_features=1.,
min_samples_split=2,
class_weight=None,
n_jobs=1,
random_state=None,
verbose=0):
Expand All @@ -164,6 +170,7 @@ def __init__(self,
self.max_depth = max_depth
self.max_depth_duplication = max_depth_duplication
self.max_features = max_features
self.class_weight = class_weight
self.min_samples_split = min_samples_split
self.n_jobs = n_jobs
self.random_state = random_state
Expand Down Expand Up @@ -270,7 +277,8 @@ def fit(self, X, y, sample_weight=None):
base_estimator=DecisionTreeClassifier(
max_depth=max_depth,
max_features=self.max_features,
min_samples_split=self.min_samples_split),
min_samples_split=self.min_samples_split,
class_weight=self.class_weight),
n_estimators=self.n_estimators,
max_samples=self.max_samples_,
max_features=self.max_samples_features,
Expand Down
3 changes: 3 additions & 0 deletions skrules/tests/test_skope_rules.py
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Original file line number Diff line number Diff line change
Expand Up @@ -72,6 +72,9 @@ def test_skope_rules():
recall_min=0.,
precision_min=0.).fit(X_train, y_train).predict(X_test)

# with additional class weights
SkopeRules(n_estimators=50, class_weight='balanced').fit(X_train, y_train).predict(X_test)


def test_skope_rules_error():
"""Test that it gives proper exception on deficient input."""
Expand Down