can't use predict_proba() no relevance_ attribute

[Blair-Young]

clf = RVC()
clf.fit(iris.data, iris.target)
clf.predict_proba(iris.data[0])

---

AttributeError                            Traceback (most recent call last)
<ipython-input-100-dc59cdb5fb6b> in <module>()
----> 1 clf.predict_proba(iris.data[0])

//anaconda/lib/python2.7/site-packages/skrvm/rvm.pyc in predict_proba(self, X)
    286     def predict_proba(self, X):
    287         """Return an array of class probabilities."""
--> 288         phi = self._apply_kernel(X, self.relevance_)
    289         y = self._classify(self.m_, phi)
    290         return np.column_stack((1-y, y))

AttributeError: 'RVC' object has no attribute 'relevance_'

[Blair-Young]

Hey, just wondering if this has been fixed yet? thanks

[guigzzz]

Hey James, I've been having the same issue as Blair, any updates on this?

[Sandy4321]

it would great to fix it

[zoushucai]

I also ran an error. Can you fix it?

[poopanda]

I also encountered the same problem, can James fix it,？thanks very much
phi = self.apply_kernel(X, self.relevance)
AttributeError: 'RVC' object has no attribute 'relevance_'

[Sandy4321]

Pls fixed it

[hectormara]

Still unfixed. I do not understand the error since the function 'predict' creates self.relevance_
` def fit(self, X, y):

"""Fit the RVR to the training data."""
X, y = check_X_y(X, y)

    n_samples, n_features = X.shape

    self.phi = self._apply_kernel(X, X)

    n_basis_functions = self.phi.shape[1]

    self.relevance_ = X

`