QuaPy/TweetSentQuant/settings.py

import multiprocessing

N_JOBS = -2  #multiprocessing.cpu_count()
CUDA_N_JOBS = 2
ENSEMBLE_N_JOBS = -2

SAMPLE_SIZE = 100
adding table manager 2021-01-15 08:33:39 +01:00			`import multiprocessing`

refactor: methods requiring a val_split can now declare a default value in the __init__ method that will be used in case the fit method is called without specifying the val_split, which now is by default None in the fit, i.e., by default takes the value of the init, that is generally set to 0.4; some uci datasets added; ensembles can now be optimized for quantification, and can be trained on samples of smaller size 2021-01-22 18:01:51 +01:00			`N_JOBS = -2 #multiprocessing.cpu_count()`
running ensembles 2021-01-25 08:54:10 +01:00			`CUDA_N_JOBS = 2`
refactor of ensembles, launching EPACC with Ptr policy 2021-01-19 18:26:40 +01:00			`ENSEMBLE_N_JOBS = -2`
refactor: methods requiring a val_split can now declare a default value in the __init__ method that will be used in case the fit method is called without specifying the val_split, which now is by default None in the fit, i.e., by default takes the value of the init, that is generally set to 0.4; some uci datasets added; ensembles can now be optimized for quantification, and can be trained on samples of smaller size 2021-01-22 18:01:51 +01:00
refactor of ensembles, launching EPACC with Ptr policy 2021-01-19 18:26:40 +01:00			`SAMPLE_SIZE = 100`