Closed kbruegge closed 7 years ago
The simplest method for shipping that along is to just put the file in the same directory as your code before you do sparse submit
, that'll make it get put in the JAR and have it get uncompressed in the same directory as your Python code. Then you can just do the usual os.path.dirname(os.path.realpath(__file__))
trick to find the current directory and load your model.
The _resources
folder is a special folder that streamparse creates and destroys at will, so you can't rely on anything actually being in there if you put it in there.
Hello everyone,
lets say I have a bolt which requires some input file to do some computations. This file never changes and is quite small. Imagine a use case where I want to use some pickled scikit-learn model to perform a prediction. Adding the file to the
:resource-paths ["_resources"]
folder does not seem to work. It gets bundled in the Jar I believe. However I don't know how to access it from python then. Any pointers would be much appreciated.