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I want to understand why SVR parameters are commented in the parameters.py file
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I am trying to parse an reduced example from LRM 6.6.8 section "Generic interconnect" using `slang` cli. Similar test is presence in `slang` test library - "Configs with libraries and interconnect bus…
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This work is attractive. I am very interested in it and want to do some works on this basis. However, I can not achieve the performance in this paper. Would you please share the code of the 1000 train…
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Hello, when I use SVR for regression task, it will prompt:
'SVR' object has no attribute 'predict_proba'
I think it should be that there is no query_strategy.
So how can I design a query that match…
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[(0.666667, SimpleRegressionPipeline({'imputation:strategy': 'mean', 'one_hot_encoding:use_minimum_fraction': 'True', 'preprocessor:__choice__': 'no_preprocessing', 'regressor:__choice__': 'adaboost',…
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Hi, why do not have the variable "Training_all_Label " in SVR.m, which come out suddenly without a input parameter having relationship with it?
Can you help to explain it?Thank you veay much!
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## Description
The following line had a failed assert with the said call stack for DATAS enabled with the Stress Dynamic Heap Mode on for Linux Debian:
```cpp
assert (heap_segment_committed (…
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SVR test fit tests sometimes (result is different in each iteration) fail ...
1) SVR test Fit Tests should forget the previous model:
**AssertionError: relative difference between 0.8983069…
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For certain benchmarks such as PlaintextMvc, we are observing an RPS regression > 10% compared to SVR.
The following numbers are from a 28 core machine for the PlaintextMvc benchmark taking the av…