Python sckitlearn linear regression crashes on random iteration -

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i random error (not @ same iteration) when running adapted version of sckitlearn plot_robust_fit.py. files needed reproduce can downloaded here.

just run reg.py , error.

traceback is:

traceback (most recent call last): file "/users/geoffroy/git/sfinder_2/reg/reg.py", line 118, in <module>   model.fit(x, acluster_y) file "/library/python/2.6/site-packages/sklearn/pipeline.py", line 141, in fit   self.steps[-1][-1].fit(xt, y, **fit_params) file "/library/python/2.6/site-packages/sklearn/linear_model/ransac.py", line 301, in fit   y_inlier_subset) file "/library/python/2.6/site-packages/sklearn/base.py", line 328, in score   return r2_score(y, self.predict(x), sample_weight=sample_weight) file "/library/python/2.6/site-packages/sklearn/linear_model/base.py", line 155, in predict   return self.decision_function(x) file "/library/python/2.6/site-packages/sklearn/linear_model/base.py", line 138, in decision_function   x = check_array(x, accept_sparse=['csr', 'csc', 'coo']) file "/library/python/2.6/site-packages/sklearn/utils/validation.py", line 360, in check_array   % (n_samples, shape_repr, ensure_min_samples)) valueerror: found array 0 sample(s) (shape=(0, 2)) while minimum of 1 required.

note crashed samples work fine when ran separately. trying crashed samples works fine.

thanks lot :)

this problem comes theil-sen , ranscac estimators no inliers found. more user friendly error has been introduced in recent version of sckitlearn. see official github issue started.


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