Error in running provided example

[mondeepboruah29]

Hi,

I'm facing the given error below while running one of the provided examples
https://github.com/salesforce/logai/blob/main/examples/jupyter_notebook/tutorial_log_anomaly_detection.ipynb

The DType <class 'numpy.dtypes.DateTime64DType'> could not be promoted by <class 'numpy.dtypes.Float64DType'>. This means that no common DType exists for the given inputs. For example they cannot be stored in a single array unless the dtype is object. The full list of DTypes is: (<class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>,
<class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class
'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.Float64DType'>, <class 'numpy.dtypes.DateTime64DType'>)

Any suggestions how to fix this??