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I have run your codes in python/benchmark/random_benchmark.py
but if I run your code in high dimension setting such as with dimension $d=10000$ I want to set params_cp.feature_hashing_dimension = 1024
but error occors
AttributeError: '_falconn.LSHConstructionParameters' object has no attribute 'feature_hashing_dimension'
Any solution about this?
The text was updated successfully, but these errors were encountered:
@selous123 the python wrapper does not support sparse datasets yet, and that is the reason this param is not exposed yet.
See here: https://github.com/FALCONN-LIB/FALCONN/blob/master/src/python/wrapper/python_wrapper.cc#L517
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I have run your codes in python/benchmark/random_benchmark.py
but if I run your code in high dimension setting$d=10000$
such as with dimension
I want to set params_cp.feature_hashing_dimension = 1024
but error occors
Any solution about this?
The text was updated successfully, but these errors were encountered: