• With Featuretools 1.0.0 we add a dataframe to an EntitySet with the following:

es = ft.EntitySet('new_es')

es.add_dataframe(dataframe=orders_df,
                 dataframe_name='orders',
                 index='order_id',
                 time_index='order_date')

Improvement

• However, you could also change the EntitySet setter to add it with this approach:

es = ft.Ent

Is your feature request related to a problem? Please describe.
I have a framework that handles the offline store. It creates the tables, indexes, reads data from different data sources, does some transformations, and then inserts into the offline store. As a part of this, I can construct the entities, feature views, feature services, etc, a instance of the ParsedRepo class for Feast. What I n

It consists of two tasks

• proofreading the Chinese version doc docs/cn/data_import.md
• translating this Chinese version to English, and named as docs/en/data_import.md

Problem
Some of our transformers & estimators are not thoroughly tested or not tested at all.

Solution
Use OpTransformerSpec and OpEstimatorSpec base test specs to provide tests for all existing transformers & estimators.

This issue has been coming up when I use,
automl.predict_proba(input)

I am using the requirements.txt in venv. Shouldn't input have feature names?
This message did not used to come up and I don't know why.

The transformer should create computations over windows of past values of the features, and populate them at time t, t being the time of the forecast.

It uses pandas rolling, outputs several comptutations, mean, max, std, etc, and pandas shift to move the computations to the right row.

tmp = (data[variables]
       .rolling(window='3H').mean()  # Average the last 3 hr values.
       .

Just reviewing the docs and found this under the AutoML User Guide:

We should figure out a way to deal with this kind of thing. I think a couple of options here are:

1. Modifying the cell to only show the first few keys or so of the output.
2. Modifying the output cell so that