/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=7.235e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 5.373e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=7.235e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 2.220e-16
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:377: RuntimeWarning: overflow encountered in true_divide
g1 = arrayfuncs.min_pos((C - Cov) / (AA - corr_eq_dir + tiny))
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:381: RuntimeWarning: overflow encountered in true_divide
g2 = arrayfuncs.min_pos((C + Cov) / (AA + corr_eq_dir + tiny))
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=5.578e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 2.220e-16
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=3.525e-02, with an active set of 9 regressors, and the smallest cholesky pivot element being 2.220e-16
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 11 iterations, i.e. alpha=3.525e-02, with an active set of 9 regressors, and the smallest cholesky pivot element being 5.373e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 12 iterations, i.e. alpha=3.057e-02, with an active set of 10 regressors, and the smallest cholesky pivot element being 1.054e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.733e-02, with an active set of 11 regressors, and the smallest cholesky pivot element being 2.220e-16
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 20 iterations, i.e. alpha=1.729e-02, with an active set of 18 regressors, and the smallest cholesky pivot element being 2.220e-16
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 20 iterations, i.e. alpha=1.729e-02, with an active set of 18 regressors, and the smallest cholesky pivot element being 5.373e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 22 iterations, i.e. alpha=1.597e-02, with an active set of 20 regressors, and the smallest cholesky pivot element being 2.107e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 22 iterations, i.e. alpha=1.597e-02, with an active set of 20 regressors, and the smallest cholesky pivot element being 1.490e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:334: ConvergenceWarning: Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 24 iterations, alpha=1.856e-02, previous alpha=1.570e-02, with an active set of 21 regressors.
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=5.893e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 1.054e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=3.462e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 1.054e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 5 iterations, i.e. alpha=2.941e-02, with an active set of 5 regressors, and the smallest cholesky pivot element being 1.054e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=1.825e-02, with an active set of 13 regressors, and the smallest cholesky pivot element being 1.054e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 14 iterations, i.e. alpha=1.678e-02, with an active set of 14 regressors, and the smallest cholesky pivot element being 1.054e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 16 iterations, i.e. alpha=1.561e-02, with an active set of 16 regressors, and the smallest cholesky pivot element being 2.220e-16
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 18 iterations, i.e. alpha=1.417e-02, with an active set of 18 regressors, and the smallest cholesky pivot element being 1.054e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:334: ConvergenceWarning: Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 19 iterations, alpha=1.449e-02, previous alpha=1.402e-02, with an active set of 18 regressors.
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 4 iterations, i.e. alpha=5.700e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 1.490e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.975e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 2.220e-16
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.975e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 1.490e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.925e-02, with an active set of 4 regressors, and the smallest cholesky pivot element being 1.490e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 19 iterations, i.e. alpha=1.459e-02, with an active set of 17 regressors, and the smallest cholesky pivot element being 1.490e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 19 iterations, i.e. alpha=1.459e-02, with an active set of 17 regressors, and the smallest cholesky pivot element being 2.220e-16
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 37 iterations, i.e. alpha=1.037e-02, with an active set of 27 regressors, and the smallest cholesky pivot element being 1.054e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 47 iterations, i.e. alpha=9.585e-03, with an active set of 35 regressors, and the smallest cholesky pivot element being 2.220e-16
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 47 iterations, i.e. alpha=9.585e-03, with an active set of 35 regressors, and the smallest cholesky pivot element being 1.825e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 47 iterations, i.e. alpha=9.585e-03, with an active set of 35 regressors, and the smallest cholesky pivot element being 1.054e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:334: ConvergenceWarning: Early stopping the lars path, as the residues are small and the current value of alpha is no longer well controlled. 50 iterations, alpha=9.522e-03, previous alpha=9.522e-03, with an active set of 37 regressors.
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=4.682e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 1.054e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=4.682e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 1.490e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 3 iterations, i.e. alpha=4.682e-02, with an active set of 3 regressors, and the smallest cholesky pivot element being 2.107e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.341e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 2.107e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.341e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 1.054e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 6 iterations, i.e. alpha=2.341e-02, with an active set of 6 regressors, and the smallest cholesky pivot element being 1.490e-08
ConvergenceWarning)
/Users/datitran/anaconda/envs/kaggle/lib/python3.5/site-packages/sklearn/linear_model/least_angle.py:309: ConvergenceWarning: Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=1.332e-02, with an active set of 13 regressors, and the smallest cholesky pivot element being 1.490e-08
ConvergenceWarning)