vectors[:42] # slice notation vectors[42, 1337, 2001] # tuple notationYou can query the distance of two or multiple keys like so:vectors.distance("cat", "dog") vectors.distance("cat", ["dog", "tiger"])You can query the similarity of two or multiple keys like so:vectors.similarity(...
You have explained each and every mathematical notation which is really helpful. Finally I must thank you for this wonderful tutorial. Please post other machine learning algorithms too in your simple way of expressing them. That would be really helpful. Reply Christian S. Perone says: 24...
We can write the above in piped notation (using thewraprpipein this case): d%.>% drop_columns(., c('y','z')) %.>%knitr::kable(.) x 1 1 2 Notice the first argument is an explicit “dot” inwraprpipe notation. select_columns’s action is also obvious from example. ...
The repartition of the sensors in the monitoring process of the wind turbine from the actual stage of the research is shown in Figure 1 and Table 1. Figure 1. The position of the sensors for the monitoring process. Table 1. Sensor notation and position on the wind turbine. In this ...
vectors[:42] # slice notation vectors[42, 1337, 2001] # tuple notationYou can query the distance of two or multiple keys like so:vectors.distance("cat", "dog") vectors.distance("cat", ["dog", "tiger"])You can query the similarity of two or multiple keys like so:vectors.similarity(...
We can write the above in piped notation (using thewraprpipein this case): d%.>% drop_columns(., c('y','z')) %.>%knitr::kable(.) x 1 1 2 Notice the first argument is an explicit “dot” inwraprpipe notation. select_columns’s action is also obvious from example. ...