D3M Dataset Errors/Warnings

[sethcoast]

1. LL0_1549_autouniv_au6_750:

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1.

2. LL0_1520_robot_failures_lp5

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1.

3. LL0_1493_one_hundred_plants_texture

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1.

4. LL0_1008_analcatdata_reviewer

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype uint8 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)

5. LL0_333_monks_problems_1

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)

6. LL0_337_spectf

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:329: RuntimeWarning: invalid value encountered in true_divide / np.dot(y_scores.T, y_scores))
• [x] /metalearn/env/lib/python3.6/site-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of members in any class cannot be less than n_splits=2. % (min_groups, self.n_splits)), Warning)
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/covariance/shrunkcovariance.py:193: UserWarning: Only one sample available. You may want to reshape your data array warnings.warn("Only one sample available. "

7. LL0_40509_Australian

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:329: RuntimeWarning: invalid value encountered in true_divide / np.dot(y_scores.T, y_scores))

Errors:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/multiclass.py", line 97, in unique_labels raise ValueError("Unknown label type: %s" % repr(ys))

8. LL0_1466_cardiotocography

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)

9. LL0_4153_Smartphone_Based_Recognition_of_Human_Activities

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:77: UserWarning: Maximum number of iterations reached warnings.warn('Maximum number of iterations reached')

Errors:

• [x] /metalearn/env/lib/python3.6/site-packages/sklearn/utils/multiclass.py", line 97, in unique_labels raise ValueError("Unknown label type: %s" % repr(ys))

10. LL0_1501_semeion

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:329: RuntimeWarning: invalid value encountered in true_divide / np.dot(y_scores.T, y_scores))

11. LL0_475_analcatdata_germangss

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:77: UserWarning: Maximum number of iterations reached warnings.warn('Maximum number of iterations reached')
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:329: RuntimeWarning: invalid value encountered in true_divide / np.dot(y_scores.T, y_scores))
• [x] metalearn/env/lib/python3.6/site-packages/numpy/core/_methods.py:29: RuntimeWarning: invalid value encountered in reduce return umr_minimum(a, axis, None, out, keepdims)
• [x] metalearn/env/lib/python3.6/site-packages/numpy/lib/function_base.py:4291: RuntimeWarning: Invalid value encountered in percentile interpolation=interpolation)
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of members in any class cannot be less than n_splits=2. % (min_groups, self.n_splits)), Warning)
• [x] /metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/covariance/shrunkcovariance.py:193: UserWarning: Only one sample available. You may want to reshape your data array warnings.warn("Only one sample available. "

12. LL0_1531_volcanoes_b1

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)

13. LL0_228_breast_cancer_wisconsin_diagnostic

Errors:

• [x] /metalearn/env/lib/python3.6/site-packages/sklearn/utils/multiclass.py", line 97, in unique_labels raise ValueError("Unknown label type: %s" % repr(ys))

14. LL0_335_monks_problems_3

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)

15. LL0_1040_sylva_prior

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)

16. LL0_238_drivface

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:329: RuntimeWarning: invalid value encountered in true_divide / np.dot(y_scores.T, y_scores))
• [x] /metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:313: UserWarning: X scores are null at iteration 0 warnings.warn('X scores are null at iteration %s' % k)
• [x] metalearn/env/lib/python3.6/site-packages/numpy/lib/function_base.py:4291: RuntimeWarning: Invalid value encountered in percentile interpolation=interpolation)
• [x] metalearn/env/lib/python3.6/site-packages/numpy/lib/function_base.py:3184: RuntimeWarning: invalid value encountered in true_divide c /= stddev[None, :]
• [x] metalearn/env/lib/python3.6/site-packages/numpy/lib/function_base.py:3183: RuntimeWarning: invalid value encountered in true_divide c /= stddev[:, None]
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of members in any class cannot be less than n_splits=2.
• [x] /metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/covariance/shrunkcovariance.py:193: UserWarning: Only one sample available. You may want to reshape your data array warnings.warn("Only one sample available. "

17. LL0_1508_user_knowledge

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)

18. LL0_40693_xd6

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)

19. LL0_1041_gina_prior2

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)

20. LL0_1515_micro_mass

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)

21. LL0_478_collins

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)

22. LL0_1176_internet_advertisements

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:329: RuntimeWarning: invalid value encountered in true_divide / np.dot(y_scores.T, y_scores))

23. LL0_1036_sylva_agnostic

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)

24. LL0_488_colleges_aaup

Warnings:

• [x] /metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:329: RuntimeWarning: invalid value encountered in true_divide / np.dot(y_scores.T, y_scores))

Errors:

• [x] ValueError: cannot reshape array of size 0 into shape (0,newaxis)

25. LL0_1529_volcanoes_a3

Warnings:

• [x] /metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)

26. LL0_1100_popularkids

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:329: RuntimeWarning: invalid value encountered in true_divide / np.dot(y_scores.T, y_scores))
• [x] metalearn/env/lib/python3.6/site-packages/numpy/lib/function_base.py:3183: RuntimeWarning: invalid value encountered in true_divide c /= stddev[:, None]
• [x] /metalearn/env/lib/python3.6/site-packages/numpy/core/_methods.py:29: RuntimeWarning: invalid value encountered in reduce return umr_minimum(a, axis, None, out, keepdims)
• [x] /metalearn/env/lib/python3.6/site-packages/numpy/lib/function_base.py:4291: RuntimeWarning: Invalid value encountered in percentile interpolation=interpolation)

27. LL0_39_ecoli

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/covariance/shrunkcovariance.py:193: UserWarning: Only one sample available. You may want to reshape your data array warnings.warn("Only one sample available. "

28. LL0_953_splice

Warnings:

• [x] /metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype uint8 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)

29. LL0_186_braziltourism

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of members in any class cannot be less than n_splits=2. % (min_groups, self.n_splits)), Warning)
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/covariance/shrunkcovariance.py:193: UserWarning: Only one sample available. You may want to reshape your data array warnings.warn("Only one sample available. "

30. LL0_32_pendigits

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)

31. LL0_42_soybean

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:313: UserWarning: X scores are null at iteration 0 warnings.warn('X scores are null at iteration %s' % k)
• [x] metalearn/env/lib/python3.6/site-packages/numpy/lib/function_base.py:3183: RuntimeWarning: invalid value encountered in true_divide c /= stddev[:, None]
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:329: RuntimeWarning: invalid value encountered in true_divide / np.dot(y_scores.T, y_scores))
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:77: UserWarning: Maximum number of iterations reached warnings.warn('Maximum number of iterations reached')

Errors:

• [x] ValueError: cannot reshape array of size 0 into shape (0,newaxis)

32. LL0_1_anneal

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)

33. LL0_1481_kr_vs_k

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)

34. LL0_40706_parity5_plus_5

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)

35. LL0_1459_artificial_characters

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:329: RuntimeWarning: invalid value encountered in true_divide / np.dot(y_scores.T, y_scores))

36. LL0_40649_GAMETES_Heterogeneity_20atts_1600_Het_0

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)

37. LL0_1538_volcanoes_d1

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/discriminant_analysis.py:442: UserWarning: The priors do not sum to 1. Renormalizing UserWarning)

38. LL0_747_servo

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)

39. LL0_1217_click_prediction_small

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/crossdecomposition/pls.py:329: RuntimeWarning: invalid value encountered in true_divide / np.dot(y_scores.T, y_scores))
• [x] metalearn/env/lib/python3.6/site-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of members in any class cannot be less than n_splits=2. % (min_groups, self.n_splits)), Warning)

Errors:

• [x] MemoryError

40. LL0_329_hayes_roth

Warnings:

• [x] metalearn/env/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning)

41. LL0_679_rmftsa_sleepdata

Errors:

• [x] ValueError("Unknown label type: %s" % repr(ys))

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[bjschoenfeld]

Handled these with #18