BuildProphet - Consistency of output

[ngupta23]

Prophet Model

• [ ] predict function with simple=False returns 16 columns. See if this needs to be made consistent with the statistical models from statsmodels which return only 4 columns (mean, std err, lower ci, upper ci)
• [ ] Index is called ds in prophet and <ts_column> name in statsmodels. Need to make consistent.

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Predictions with Best Model (Prophet)
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Building Forecast dataframe. Forecast Period = 8
Building Forecast dataframe. Forecast Period = 8
Building Forecast dataframe. Forecast Period = 8
Building Forecast dataframe. Forecast Period = 8
Building Forecast dataframe. Forecast Period = 8
           ds       trend  ...  multiplicative_terms_upper        yhat
40 2014-04-30  651.843432  ...                         0.0  749.061242
41 2014-05-31  657.531354  ...                         0.0  751.077262
42 2014-06-30  663.035794  ...                         0.0  796.892366
43 2014-07-31  668.723715  ...                         0.0  783.206733
44 2014-08-31  674.411637  ...                         0.0  689.698130
45 2014-09-30  679.916077  ...                         0.0  595.713426
46 2014-10-31  685.603998  ...                         0.0  569.486600
47 2014-11-30  691.108439  ...                         0.0  635.884371

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Predictions with SARIMAX Model
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Sales             mean     mean_se  mean_ci_lower  mean_ci_upper
2013-09-01  803.316737   57.933329     689.769498     916.863976
2013-10-01  762.460940   79.971766     605.719158     919.202722
2013-11-01  718.358193   96.253327     529.705138     907.011248
2013-12-01  711.421305   96.180308     522.911365     899.931245
2014-01-01  719.362546   98.272104     526.752761     911.972331
2014-02-01  732.709819  100.930940     534.888812     930.530825
2014-03-01  747.576454  102.978924     545.741472     949.411437
2014-04-01  762.473494  104.292923     558.063121     966.883867
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Predictions with VAR Model
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Sales             mean     mean_se  mean_ci_lower  mean_ci_upper
2013-09-01  741.377909   61.808346     620.235777     862.520040
2013-10-01  676.233419   90.153283     499.536231     852.930608
2013-11-01  615.538721  105.173723     409.402012     821.675430
2013-12-01  571.797729  111.305204     353.643538     789.951919
2014-01-01  546.952783  113.044924     325.388803     768.516763
2014-02-01  537.342231  113.342418     315.195173     759.489289
2014-03-01  537.474487  113.443588     315.129140     759.819834
2014-04-01  542.307393  113.595165     319.664960     764.949825

[ngupta23]

I will take care of this. This is for my tracking only.

[AutoViML]

Fixed