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License: MIT License
Feature Selection using Genetic Algorithm (DEAP Framework)
License: MIT License
I noticed my CPU usage would top off at 25% no matter how much the population size I set.
I have installed DEAP even tough i am getting this error, Why am i getting this error?
plz help to time run
error
C:\Python27\lib\site-packages\deap\tools_hypervolume\pyhv.py:33: ImportWarning: Falling back to the python version of hypervolume module. Expect this to be very slow.
"module. Expect this to be very slow.", ImportWarning)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'C:\Users\taha\AppData\Roaming\Python\Python27\site-packages\mpl_toolkits': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'c:\users\taha\appdata\roaming\python\python27\site-packages\mpl_toolkits': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'C:\Python27\lib\site-packages\google': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'c:\python27\lib\site-packages\google': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'C:\Python27\lib\site-packages\google\cloud': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'C:\Python27\lib\site-packages\google\cloud\proto': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'C:\Python27\lib\site-packages\google\cloud\proto\pubsub': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'C:\Python27\lib\site-packages\google\cloud\proto\datastore': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'C:\Python27\lib\site-packages\google\pubsub': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'C:\Python27\lib\site-packages\google\logging': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'C:\Python27\lib\site-packages\google\iam': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'C:\Python27\lib\site-packages\google\cloud\logging': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'C:\Python27\lib\site-packages\google\cloud\gapic': missing init.py
file, filename, etc = imp.find_module(subname, path)
C:\Python27\lib\pkgutil.py:183: ImportWarning: Not importing directory 'C:\Python27\lib\site-packages\google\cloud\gapic\pubsub': missing init.py
file, filename, etc = imp.find_module(subname, path)
plz help tanks
plz exampl for run program send for me . tanks
Hello, when I ran your code got "TypeError: unhashable type: 'slice' ".Can you help me analyze the problem?thanks
import pandas as pd from sklearn.linear_model import LogisticRegression from feature_selection_ga import FeatureSelectionGA data = pd.read_excel("D:\\Project_CAD\\ๅฎ้ช6\\data\\train_data_1\\train_1.xlsx") x, y = data.iloc[:, :53], data.iloc[:, 56] model = LogisticRegression() fsga = FeatureSelectionGA(model, x, y) pop = fsga.generate(100)
What is the selection strategy of this algorithm?Roulette or tournament?
do you have example with complicated task when strong ML packages needed like lightGBM?
hi,
can you provide us with an example of using the featureselectionGA
For example, now there are 30 features, and I want to select 10 features.
How to specify the number of selected features?
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