Metadata-Version: 2.1
Name: vinzy-splitter
Version: 1.0.1
Summary: A package will help you to split your data frame into training, validation and testing subsets
Home-page: https://github.com/vinayak-97/Training-Validation-and-Testing-dataframe-splitter-package.git
Author: Vinayak Bhosale
Author-email: vinubhosale.cj@gmail.com
License: MIT
Description: ## A package will help you to split your data frame into training, validation and testing subsets
        
        ## Working:
        Splits arrays or matrices into random train, validation and test subsets
        "train_val_test_split" function accepts independent features(X), dependent
        feature (y), validation size (default size = 0.15),test size (default size = 0.15) and shuffle (default = True) as input parameters and returns X_train,X_val,X_test,y_train,y_val,y_test
        
        Note: If shuffle parameter is True, after shuffling index of all records will be reset in ascending order
        
        ## How to use it:
        
        from vinzy_splitter import train_val_test_split
        
        X_train,X_val,X_test,y_train,y_val,y_test = train_val_test_split(X,y,val_size=0.15,test_size=0.15,shuffle=True)
        
        after executing the function your data frame will be splitted into training,validation and testting subsets based on validation and testing size you have provided, deafult value will be 15% for both and suffling will be True.
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
