Kaggle competition: PLAsTiCC Astronomical Classification
today = str(datetime.date.today())
 submission = pd.read_csv('.. /input/LANL-Earthquake-Prediction/sample_submission.csv')
 submission["time_to_failure"] = NN_predictions
submission.to_csv(f'NN_{today}_test_{cv_score:.3f}_train_{np.mean(train_score):.3f}.csv', index=False)
 submission.head()<load_from_csv>
dfparam = pd.read_csv(".. /input/ourpathtowherewearenewparams/subm_0.610175_2018-12-07-23-29.csv")
 dforig = pd.read_csv(".. /input/ourpathtowhereweare/subm_0.619987_2018-12-06-19-58.csv")
 dfsix = pd.read_csv(".. /input/sixdeepourpathtowherewearenewparams/subm_0.613687_2018-12-07-04-17.csv")
 dffour = pd.read_csv(".. /input/depthfourourpathtowherewearenewparams/subm_0.615926_2018-12-07-16-59.csv")
 dfxgb= pd.read_csv(".. /input/xgb-from-ideas-from-kernels-and-discussion/single_subm_0.671072_XGB_2018-11-21-14-24.csv")
 dfsm = pd.read_csv(".. /input/smote-on-lgbm-w-ideas-from-kernels-and-discussion/single_subm_0.751366_2018-12-10-14-48.csv")
 dfnn = pd.read_csv(".. /input/trypredictingallatoncenn71/subm_0.639462_2018-12-10-23-23.csv")
Scirpus_prediction = pd.read_csv(".. /input/andrews-new-script-plus-a-genetic-program-model/gpI.csv")
 Scirpus_prediction.head()<save_to_csv>
df_blend =.3*dfparam +.075*(dforig+dfsix+dffour)+.2 *(dfxgb + dfnn)
 df_blend['object_id']=dfsm['object_id']
df_blend.to_csv('blend_submission.csv',index=False )