nn_input_dim_NN2 = X.shape[1]
del X, y, test
# Models
m = ModelV1_stage2(
name="v1_stage2",
flist=FEATURE_LIST_stage2,
params=PARAMS_V1_stage2,
kind='st',
)
m.run()
print 'Done stage 2'
print
# averaging
print 'Saving as submission format'
#sample_sub = pd.read_csv('data/input/sample_submission.csv')
label = pd.read_csv(INPUT_PATH + 'label_test.csv')
testID = range(len(label))
testID = pd.DataFrame(testID, columns=['ID'])
pred = pd.read_csv(TEMP_PATH + 'v1_stage2_TestInAllTrainingData.csv')
print 'Test evaluation'
mll = eval_pred(label.target, pred.values, eval_type=eval_type)
print 'saving final results'
pred.columns = ['c0', 'c1', 'c2', 'c3', 'c4', 'c5', 'c6', 'c7', 'c8', 'c9']
pred = pd.concat([testID, pred], axis=1)
pred.to_csv(TEMP_PATH + 'final_submission.csv', index=False)
del X, y, test
# Models
m = ModelV1_stage2(name="v1_stage2",
flist=FEATURE_LIST_stage2,
params = PARAMS_V1_stage2,
kind = 'st',
)
m.run()
print 'Done stage 2'
print
# averaging
print 'Saving as submission format'
#sample_sub = pd.read_csv('data/input/sample_submission.csv')
label = pd.read_csv(INPUT_PATH + 'label_test.csv')
testID = range(len(label))
testID = pd.DataFrame(testID, columns=['ID'])
pred = pd.read_csv(TEMP_PATH + 'v1_stage2_TestInAllTrainingData.csv')
print 'Test evaluation'
auc = eval_pred(label.target, pred.iloc[:,0], eval_type=eval_type)
pred = pd.concat([testID, pred], axis=1)
pred.to_csv(TEMP_PATH + 'final_submission.csv', index=False)
# Models
m = ModelV1_stage2(name="v1_stage2",
flist=FEATURE_LIST_stage2,
params = PARAMS_V1_stage2,
kind = 'st',
)
m.run()
print 'Done stage 2'
print
# averaging
print 'Saving as submission format'
#sample_sub = pd.read_csv('data/input/sample_submission.csv')
label = pd.read_csv(INPUT_PATH + 'label_test.csv')
testID = range(len(label))
testID = pd.DataFrame(testID, columns=['ID'])
pred = pd.read_csv(TEMP_PATH + 'v1_stage2_TestInAllTrainingData.csv')
print 'Evaluation'
mll = eval_pred(label.target, pred.values, eval_type=eval_type)
print 'saving final results'
pred.columns = ['c0', 'c1', 'c2', 'c3', 'c4', 'c5', 'c6', 'c7', 'c8', 'c9']
pred = pd.concat([testID, pred], axis=1)
pred.to_csv(TEMP_PATH + 'final_submission.csv', index=False)