[BUG] Notebooks in Notebooks Contrib have minor 0.11 errors or are obsolete

[taureandyernv]

A few bugs emerged from CI. We need to update both the branch-0.11 and branch-0.12 branches.

1. getting_started_notebooks/06_Introduction_to_Supervised_Learning.ipynb

06_Introduction_to_Supervised_Learning-test.py in <module>
    338 n_neighbors = 3
    339 
--> 340 distances, indices = knn.kneighbors(X_df, k=n_neighbors)
    341 
    342 

cuml/neighbors/nearest_neighbors.pyx in cuml.neighbors.nearest_neighbors.NearestNeighbors.kneighbors()

TypeError: kneighbors() got an unexpected keyword argument 'k'

2. getting_started_notebooks/02_Introduction_to_cuDF.ipynb

TypeError                                 Traceback (most recent call last)
/opt/conda/envs/rapids/lib/python3.6/site-packages/cudf/core/column/column.py in as_column(arbitrary, nan_as_null, dtype, name)
   1384             data = as_column(
-> 1385                 memoryview(arbitrary), dtype=dtype, nan_as_null=nan_as_null
   1386             )

TypeError: memoryview: a bytes-like object is required, not 'tuple'

During handling of the above exception, another exception occurred:

ArrowInvalid                              Traceback (most recent call last)
/opt/conda/envs/rapids/lib/python3.6/site-packages/cudf/core/column/column.py in as_column(arbitrary, nan_as_null, dtype, name)
   1401                 data = as_column(
-> 1402                     pa.array(arbitrary, type=pa_type, from_pandas=nan_as_null),
   1403                     dtype=dtype,

/opt/conda/envs/rapids/lib/python3.6/site-packages/pyarrow/array.pxi in pyarrow.lib.array()

/opt/conda/envs/rapids/lib/python3.6/site-packages/pyarrow/array.pxi in pyarrow.lib._sequence_to_array()

/opt/conda/envs/rapids/lib/python3.6/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status()

ArrowInvalid: Cannot mix NumPy dtypes int64 and datetime64

During handling of the above exception, another exception occurred:

ArrowInvalid                              Traceback (most recent call last)
/tmp/02_Introduction_to_cuDF-test.py in <module>
    169 
    170 
--> 171 df = cudf.DataFrame([('id', ids), ('timestamp', timestamps_np)])
    172 print(df)
    173 

/opt/conda/envs/rapids/lib/python3.6/site-packages/cudf/core/dataframe.py in __init__(self, data, index, columns, dtype)
    183 
    184             for i, (col_name, series) in enumerate(data):
--> 185                 self.insert(i, col_name, series, forceindex=index is not None)
    186 
    187         self._add_empty_columns(columns, index)

/opt/conda/envs/rapids/lib/python3.6/site-packages/cudf/core/dataframe.py in insert(self, loc, column, value, forceindex)
   1557             )
   1558         self._cols[column] = self._prepare_series_for_add(
-> 1559             value, forceindex=forceindex, name=column
   1560         )
   1561         keys = list(self._cols.keys())

/opt/conda/envs/rapids/lib/python3.6/site-packages/cudf/core/dataframe.py in _prepare_series_for_add(self, col, forceindex, name)
   1516         if (not SCALAR) and (name is None) and hasattr(col, "name"):
   1517             name = col.name
-> 1518         series = Series(col, name=name) if not SCALAR else col
   1519         self._sanitize_columns(series)
   1520         series = self._sanitize_values(series, SCALAR)

/opt/conda/envs/rapids/lib/python3.6/site-packages/cudf/core/series.py in __init__(self, data, index, name, nan_as_null, dtype)
    122         if not isinstance(data, column.TypedColumnBase):
    123             data = column.as_column(
--> 124                 data, nan_as_null=nan_as_null, dtype=dtype, name=name
    125             )
    126 

/opt/conda/envs/rapids/lib/python3.6/site-packages/cudf/core/column/column.py in as_column(arbitrary, nan_as_null, dtype, name)
   1414                     data = as_column(
   1415                         np.array(arbitrary, dtype=np_type),
-> 1416                         nan_as_null=nan_as_null,
   1417                     )
   1418     if hasattr(data, "name") and (name is not None):

/opt/conda/envs/rapids/lib/python3.6/site-packages/cudf/core/column/column.py in as_column(arbitrary, nan_as_null, dtype, name)
   1224             data = datetime.DatetimeColumn.from_numpy(arbitrary)
   1225         elif arbitrary.dtype.kind in ("O", "U"):
-> 1226             data = as_column(pa.Array.from_pandas(arbitrary))
   1227         else:
   1228             data = as_column(rmm.to_device(arbitrary), nan_as_null=nan_as_null)

/opt/conda/envs/rapids/lib/python3.6/site-packages/pyarrow/array.pxi in pyarrow.lib.Array.from_pandas()

/opt/conda/envs/rapids/lib/python3.6/site-packages/pyarrow/array.pxi in pyarrow.lib.array()

/opt/conda/envs/rapids/lib/python3.6/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status()

/opt/conda/envs/rapids/lib/python3.6/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status()

ArrowInvalid: only handle 1-dimensional arrays

3. cuml_benchmarks

• Fix error: 'AlgorithmPair' object has no attribute 'set_up_cpu'

4. replace old cuml_quick_benchmarks with working version of cuml_benchmarks
5. Remove cuDatashader.ipynb