google / matched_markets Goto Github PK

Hi,
I tried to install the package using pip install git+git://github.com/google/matched_markets.git but I am getting the following error:

error: could not create 'build': File exists

Do you know what might be the cause?

Thanks!

in step 3: Summary of the possible designs, if/when there are no suitable designs (e.g. if budget too low, time period too long, etc.. ) the code returns a type error. Perhaps a more descriptive error message would be helpful.

TypeError Traceback (most recent call last)
in
6 matched_designs = MMclass.exhaustive_search()
7 else:
----> 8 matched_designs = MMclass.greedy_search()
9
10 if len(matched_designs) == 0:

1 frames
/usr/local/lib/python3.8/dist-packages/matched_markets/methodology/tbrmmscore.py in score(self)
87 if self._score is None:
88 self._score = Scoring(
---> 89 int(self.diag.corr_test), int(self.diag.aatest.test_ok),
90 int(self.diag.bbtest.test_ok), int(self.diag.dwtest.test_ok),
91 round(self.diag.corr, 2), 1 / self.diag.required_impact)

TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'

Dear developers,

I hope this message finds you well. I am writing to express my gratitude for the matched_markets library and raise some concerns about its practical implementation.

Firstly, I would like to inquire about budget allocation in the experimental plan. Once we have the experimental design ready, the marketing specialist may wonder how to allocate the budget. For example, suppose there are three treatment geos and a budget of $3k for an experiment duration of four weeks. Should the budget be allocated proportionally, such as $1,000 for each geo and $250/week, or should it be allocated depending on historical budget or geo market size? Any guidance or best practices on this matter would be highly appreciated.

Secondly, I would like to address the issue of budget and time constraints. The marketing specialist may not have any budget constraints, and therefore, may not know the recommended budget for measuring a particular marketing channel/strategy. Is there a way to provide an optimal budget for a particular experimental design? The same applies to the duration of the experiment, where the rule of thumb is typically one sales life cycle. Any insights or advice on these matters would be valuable.

Thank you for your time and efforts in developing the matched_markets library. I look forward to hearing your feedback and suggestions.

Best regards,
Albert

I believe this is an error that rose from the recent update on April 5/6. Attached is a screenshot of the error when running a notebook example.

The issue comes from the "selected design" cell and is dealing with these lines that seemed to have been added:

# these are numerical identifier used to denote the two groups
group_treatment = GeoAssignment.TREATMENT
group_control = GeoAssignment.CONTROL
group_excluded = GeoAssignment.EXCLUDED

If I'm not mistaken this is due to the GeoAssignment class not being imported from common_classes, but I'm not sure.