A forecaster for sales data

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Project description

forecast_ensemble

forecast_ensemble combines multiple models into a single forecast and returns a combined package of models, their evaluated results including a composite score

Usage

The forecast is run using main.py with the following options

Request Requirements

The required input format is a JSON with the following fields:

Required:

  • data_filepath: filepath of the time series data to run the ensemble on
  • target_column: name of the input column
  • aggregate_operation: string operation to apply to target_column to create the time series
  • output_directory: directory to return the result JSON to

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1.5.8

1.5.7

This version

1.5.5

1.5.4

1.5.2

1.5.1

1.5.0

1.4.17

1.4.16

1.4.15

1.4.14

1.4.13

1.4.12

1.4.11

1.4.10

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

1.4.4

1.4.3

1.4.1

1.4.0

1.3.28

1.3.27

1.3.26

1.3.25

1.3.24.2

1.3.24.1

1.3.24

1.3.23

1.3.22

1.3.21

1.3.20

1.3.19

1.3.18

1.3.17

1.3.16

1.3.15

1.3.14

1.3.13

1.3.12

1.3.11

1.3.10

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.1

1.1.0

1.0.20

1.0.19

1.0.18

1.0.17

1.0.16

1.0.15

1.0.14

1.0.13

1.0.12

1.0.11

1.0.10

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.1.23

0.1.22

0.1.21

0.1.20

0.1.19

0.1.18

0.1.17

0.1.16

0.1.15

0.1.13

0.1.12

0.1.11

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

0.0.999

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

0.0.0

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