Search
 
SCRIPT & CODE EXAMPLE
 

PYTHON

keras ensure equal class representation during traingin

from sklearn.utils import class_weight
class_weights = class_weight.compute_class_weight('balanced',
                                                 np.unique(y_train),
                                                 y_train)
model.fit(X_train, y_train, class_weight=class_weights)
Comment

PREVIOUS NEXT
Code Example
Python :: talos get best model 
Python :: how to make a multichoice in python 
Python :: pythoni me numra 
Python :: remove every file that ends with extension in python 
Python :: requirements.py for flask 
Python :: python list contains substring 
Python :: how to add subtitle matplotlib 
Python :: pandas show complete string 
Python :: pandas get numeric columns 
Python :: start the environment 
Python :: pyinstaller for spacy code 
Python :: no such table: django_session 
Python :: double .get().get() dict python 
Python :: print('Test set predictions: {}'.format(y_pred)) 
Python :: extract topic to csv file 
Python :: fig title python 
Python :: colorama 
Python :: random name generator in python 
Python :: create a df with column names 
Python :: python twilio certificate error 
Python :: sigmoid in python from scratch 
Python :: add trendline to plot matplotlib 
Python :: django rest framework delete file 
Python :: print matrix eleme 
Python :: rock paper scissors game in python 
Python :: get wav file in dir 
Python :: bring tkinter window to front 
Python :: extract last value of a column from a dataframe in python 
Python :: plt turn legend off 
Python :: pyspark concat columns 
ADD CONTENT
Topic
Content
Source link
Name
3+1 =