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Results tagged with pipelines
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user 108346
A pipeline is a sequence of functions (or the equivalent thereof), composed so that the output of one is input for the next, in order to create a compound transformation. Famously, a shell pipeline looks like "command | command2 | command3" (but use the tag "pipe" for this). It's also used in computer architecture to define a sequence of serial stages that execute in parallel over elements being fed into a pipe, in order to increase the overall throughput.
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Is it good practice to include data cleaning or feature engineering steps in an sklearn pipe...
def pipeline(data):
out = data
for function in list_functions:
out = function(out)
return out
return pipeline
So I basically end up having two separate pipelines … What is the approach to building scalable data pipelines that include data cleaning, data extraction, feature engineering, pre-processing before modeling? …
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