errors while training model for fraudcost

[angela97lin]

New errors on the fraud page:

https://evalml.featurelabs.com/en/latest/demos/fraud.html

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* Beginning pipeline search *
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Optimizing for Fraud Cost. Lower score is better.

Searching up to 5 pipelines.
Possible model types: linear_model, xgboost, random_forest

▹ XGBoost Classifier w/ One Hot Encod...     0%|          | Elapsed:00:00Found input variables with inconsistent numbers of samples: [667, 1153]
Found input variables with inconsistent numbers of samples: [667, 1151]
Found input variables with inconsistent numbers of samples: [666, 1155]
✔ XGBoost Classifier w/ One Hot Encod...     0%|          | Elapsed:00:07
▹ XGBoost Classifier w/ One Hot Encod...    20%|██        | Elapsed:00:07ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
✔ XGBoost Classifier w/ One Hot Encod...    20%|██        | Elapsed:00:08
▹ Random Forest Classifier w/ One Hot...    40%|████      | Elapsed:00:08Found input variables with inconsistent numbers of samples: [667, 1153]
Found input variables with inconsistent numbers of samples: [667, 1151]
Found input variables with inconsistent numbers of samples: [666, 1155]
✔ Random Forest Classifier w/ One Hot...    40%|████      | Elapsed:00:29
▹ XGBoost Classifier w/ One Hot Encod...    60%|██████    | Elapsed:00:29Found input variables with inconsistent numbers of samples: [667, 1153]
Found input variables with inconsistent numbers of samples: [667, 1151]
Found input variables with inconsistent numbers of samples: [666, 1155]
✔ XGBoost Classifier w/ One Hot Encod...    60%|██████    | Elapsed:00:37
▹ Logistic Regression Classifier w/ O...    80%|████████  | Elapsed:00:37ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
✔ Logistic Regression Classifier w/ O...    80%|████████  | Elapsed:00:37
✔ Logistic Regression Classifier w/ O...   100%|██████████| Elapsed:00:37

✔ Optimization finished

[angela97lin]

Seems like all the scores error out too, probably a larger bug here.