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Add fit_predict to FactorizationMachine #38

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Add fit_predict to FactorizationMachine #38

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21 changes: 21 additions & 0 deletions fastFM/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -100,6 +100,27 @@ def predict(self, X_test):
assert sp.isspmatrix_csc(X_test)
assert X_test.shape[1] == len(self.w_)
return ffm.ffm_predict(self.w0_, self.w_, self.V_, X_test)

def fit_predict(self, X_train, y_train, X_test, n_more_iter=0):
"""Return predictions after calling fit method

Parameters
----------
X_train : scipy.sparse.csc_matrix, (n_samples, n_features)

y_train : array, shape (n_samples)

X_test : scipy.sparse.csc_matrix, (n_test_samples, n_features)

n_more_iter : int
Number of iterations to continue from the current Coefficients.

Returns
-------
T : array, shape (n_test_samples)
"""
self.fit(X_train, y_train, n_more_iter=n_more_iter)
return self.predict(X_test)


class BaseFMClassifier(FactorizationMachine, ClassifierMixin):
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