9 Matching Annotations
  1. Jun 2021
    1. Once a variable is specified with the use method, access it with EnvSetting.my_var Or you can still use the Hash syntax if you prefer it: EnvSetting["MY_VAR"]
  2. Apr 2021
    1. The main difference is in the flow of how messages are ultimately sent to devices for output. The standard library Logger logic converts the log entries to strings and then sends the string to the device to be written to a stream. Lumberjack, on the other hand, sends structured data in the form of a Lumberjack::LogEntry to the device and lets the device worry about how to format it. The reason for this flip is to better support structured data logging. Devices (even ones that write to streams) can format the entire payload including non-string objects and tags however they need to.
  3. Mar 2021
  4. Feb 2021
    1. Our mission is to allow people to make money via educational efforts and to dedicate the rest of their time to creating great open source products.

      What does this mean exactly? "Our mission is to allow people to make money via educational efforts"

  5. Sep 2017
    1. How can we draw many different bootstrap samples from the original sample if each bootstrap sample must contain the same number of cases as the original sample? If we allow every case in the original sample to be sampled only once, each bootstrap sample contains all cases of the original sample, so it is an exact copy of the original sample. Thus, we cannot create different bootstrap samples.

      So, bootstrapping without replacement doesn't allow for ANY bootstrapping regardless of sample size?

    1. Which type of sampling is better here: with or without replacement? Justify your answer.

      With replacement simply has more "bootstrapping" power than without correct? But with a large enough sample is there any other effect replacement or non-replacement has on the "outcome?" Or is the effect insignificant with large enough samples.