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Tanushree Tunstall 2022-05-24 02:33:56 +01:00
parent 6db5046302
commit 95852fa40e
4 changed files with 589 additions and 21 deletions
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21
UQ_pnca_ML.py
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@ -276,13 +276,24 @@ all_df_wtgt.shape
#TODO: A
#%% Data
#X = all_df_wtgt[numerical_FN+categorical_FN]
X = all_df_wtgt[numerical_FN]
y = all_df_wtgt['dst_mode']
#------
# X
#------
X = all_df_wtgt[numerical_FN + categorical_FN] # training data ALL
X_bts = blind_test_df[numerical_FN + categorical_FN] # blind test data ALL
#X = all_df_wtgt[numerical_FN] # training numerical only
#X_bts = blind_test_df[numerical_FN] # blind test data numerical
#------
# y
#------
y = all_df_wtgt['dst_mode'] # training data y
y_bts = blind_test_df['dst_mode'] # blind data test y
#Blind test data {same format}
X_bts = blind_test_df[numerical_FN]
y_bts = blind_test_df['dst_mode']
#X_bts = blind_test_df[numerical_FN]
#X_bts = blind_test_df[numerical_FN + categorical_FN]
#y_bts = blind_test_df['dst_mode']
X_bts_wt = blind_test_df[numerical_FN + ['dst_mode']]