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Generate bootstrapped confidence intervals for A/B testing in Python.

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Hi everyone, I am trying to understand how this library works. Does it use a percentile-based (PB), bias-corrected percentile-based (BC-PB) or accelerated bias-corrected percentile-based (BCa-PB) bootstrap method? What about the...

Hey, this is a super useful package! I needed to increase the speed of the code and set num_threads = -1 (any number other than 1 will break the code)....

Hi Folks, I am trying to use this on X (m x n) as follows: ``` mean_results = bs.bootstrap(X, stat_func=bs_stats.mean) ``` Is there an axis parameter to say along which...

This is pull request was created automatically because we noticed your project was missing a Code of Conduct file. Code of Conduct files facilitate respectful and constructive communities by establishing...

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helps to save huge amount of RAM while preserving performance It appeared impossible for me to use the lib on a machine with 64Gigs of RAM because it ran out...

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I noticed one of the parameters in bootstrap_ab is scale_test_by. The docstring reads: > scale_test_by: The ratio between test and control population > sizes. Use this if your test and...

In this [example](https://github.com/facebookincubator/bootstrapped/blob/master/examples/power_calculation.ipynb) lift is first applied to the data and then to the treatment variable. I am not sure why lift is applied to the data: `data = np.random.normal(loc=100,...