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📝 Fix typos in models docstrings
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sklift/models/models.py

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@@ -97,8 +97,8 @@ def predict(self, X):
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Perform uplift on samples in X.
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Args:
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X (array-like, shape (n_samples, n_features)) - Training vector, where n_samples is the number of samples
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and n_features is the number of features.
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X (array-like, shape (n_samples, n_features)): Training vector, where n_samples is the number of samples
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and n_features is the number of features.
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Returns:
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array (shape (n_samples,)): uplift
@@ -208,7 +208,7 @@ def predict(self, X):
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Perform uplift on samples in X.
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Args:
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X (array-like, shape (n_samples, n_features)) - Training vector, where n_samples is the number of samples
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X (array-like, shape (n_samples, n_features)): Training vector, where n_samples is the number of samples
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and n_features is the number of features.
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Returns:
@@ -379,8 +379,8 @@ def predict(self, X):
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Perform uplift on samples in X.
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Args:
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X (array-like, shape (n_samples, n_features)) - Training vector, where n_samples is the number of samples
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and n_features is the number of features.
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X (array-like, shape (n_samples, n_features)): Training vector, where n_samples is the number of samples
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and n_features is the number of features.
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Returns:
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array (shape (n_samples,)): uplift

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