I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.

Bug/Feature Request Description

In [1]: import featuretools as ft                                                                                                                             

In [2]: es = ft.demo.load_mock_customer(return_entityset=True)                                                                                                

In [3]: import pandas as pd    

Problem
Since Java 8 was introduced there is no need to use Joda as it has been replaced the native Date-Time API.

Solution
Ideally greping and replacing the text should work (mostly)

Additional context
Need to check if de/serializing will still work.

Python SDK client library is not compatible with the most popular DS installations in GCP.
I was using !pip install feast together with standard Jupyter notebook installations for TensorFlow 1.15.0 and 2.2.0.

In both cases the installations end up with the following errors:

Collecting feast
  Downloading feast-0.6.2-py3-none-any.whl (116 kB)
     |████████████████████████████████| 11

Right now there is an error when computing prediction on a single sample, see #156 for details.

Background
In #2222 @jeremyliweishih updated the highly null data check to warn if individual rows exceed a threshold percentage of nulls. Currently that threshold is the same as the one used for checking columns in the same manner.

Proposal
Let's have separate thresholds for pct null rows vs pct null columns. That'll make it easy to tinker with the behavior on real data, in case we decid