Traceback (most recent call last):


 "voting.py", line 58, in <module>

prediction_results = clf.predict(X_test)


 "/home/tak/anaconda3/lib/python3.5/site-packages/sklearn/ensemble/voting_classifier.py", line 194, in predict

arr=predictions.astype('int'))


 "/home/tak/anaconda3/lib/python3.5/site-packages/numpy/lib/shape_base.py", line 91, in apply_along_axis

res = func1d(arr[tuple(i.tolist())], *args, **kwargs)


 "/home/tak/anaconda3/lib/python3.5/site-packages/sklearn/ensemble/voting_classifier.py", line 192, in <lambda>

weights=self.weights)),
ValueError: The first argument of bincount must be non-negative

Traceback (most recent call last):


 "categoricals_to_parquet.py", line 23, in <module>

dd.to_parquet(ddf, PARQUET_PATH, append=True)


 "/Users/gavin/.local/share/virtualenvs/dask_playground-wLgMaRNp/src/dask/dask/dataframe/io/parquet.py", line 1229, in to_parquet

**kwargs)


 "/Users/gavin/.local/share/virtualenvs/dask_playground-wLgMaRNp/src/dask/dask/dataframe/io/parquet.py", line 589, in _write_fastparquet

set(df.dtypes.iteritems())))
ValueError: Appended dtypes differ.
