Modin throws RayGetError when doing cumulative functions

[williamma12]

Describe the problem

Throws RayGetError when doing cumulative functions of nonnumeric dtypes

Source code / logs

import modin.pandas as pd
data = {
        "col1": 1.0,
        "col2": np.datetime64("2011-06-15T00:00"),
        "col3": np.array([3] * 4, dtype="int32"),
        "col4": "foo",
        "col5": True,
}
modin_df = pd.DataFrame(data)
modin_df.cummax(axis=1)

Throws the following error:

RayGetError: Could not get objectid ObjectID(01000000f0cc325805f5c83895ed0532827d52de). It was created by remote function modin.data_management.partitioning.axis_partition.deploy_ray_axis_func which failed with:

Remote function modin.data_management.partitioning.axis_partition.deploy_ray_axis_func failed with:

Traceback (most recent call last):
  File "/Users/William/Documents/modin/modin/data_management/partitioning/axis_partition.py", line 188, in deploy_ray_axis_func
    result = func(dataframe, **kwargs)
  File "/Users/William/Documents/modin/modin/data_management/data_manager.py", line 158, in helper
    def helper(df, internal_indices=[]):
  File "/Users/William/Documents/modin/venv/lib/python3.6/site-packages/pandas/core/generic.py", line 9661, in cum_func
    result = accum_func(y, axis)
  File "/Users/William/Documents/modin/venv/lib/python3.6/site-packages/pandas/core/generic.py", line 8829, in <lambda>
    lambda y, axis: np.maximum.accumulate(y, axis), "max",
  File "pandas/_libs/tslibs/timestamps.pyx", line 170, in pandas._libs.tslibs.timestamps._Timestamp.__richcmp__
TypeError: Cannot compare type 'Timestamp' with type 'float'