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Fixes for single event sequences #47

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Fixes for single event sequences #47

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4 changes: 4 additions & 0 deletions IOHMM/linear_models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -145,6 +145,8 @@ def _transform_X(self, X):
-------
X : design matrix of shape (n_samples, n_features + 1) if fit intercept
"""
if X.shape[0] == 0:
return X
if self.fit_intercept:
X = add_constant(X, has_constant='add')
return X
Expand Down Expand Up @@ -972,6 +974,8 @@ def predict_log_proba(self, X):
"""
self._raise_error_if_model_not_trained()
X = self._transform_X(X)
if X.shape[0] == 0:
return np.empty((0, self.n_classes))
if self.n_classes == 1:
return np.zeros((X.shape[0], 1))

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