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Chronos: migrate from tf1.15 to tf2 (MTNetForecaster) (#4334)

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* convert mtnet_forecaster

* fix conflict

* add batch_size

* fix conflict

* change description

* change description again

* fix doc

* change param description
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liangs6212 2022-04-06 14:55:55 +08:00 committed by GitHub
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docs/readthedocs/source/doc/PythonAPI/Chronos/forecasters.rst
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@ -81,11 +81,11 @@ MTNetForecaster
MTNet is a memory-network based solution for multivariate time-series forecasting. In a specific task of multivariate time-series forecasting, we have several variables observed in time series and we want to forecast some or all of the variables' value in a future time stamp. MTNet is a memory-network based solution for multivariate time-series forecasting. In a specific task of multivariate time-series forecasting, we have several variables observed in time series and we want to forecast some or all of the variables' value in a future time stamp.
MTNet is proposed by paper `A Memory-Network Based Solution for Multivariate Time-Series Forecasting <https://arxiv.org/abs/1809.02105>`__. MTNetForecaster is derived from tfpark.KerasMode, and can use all methods of KerasModel. Refer to `tfpark.KerasModel API Doc <https://github.com/intel-analytics/BigDL/blob/main/docs/docs/APIGuide/TFPark/model.md>`__ for details. MTNet is proposed by paper `A Memory-Network Based Solution for Multivariate Time-Series Forecasting <https://arxiv.org/abs/1809.02105>`__.
For the detailed algorithm description, please refer to `here <https://github.com/intel-analytics/BigDL/blob/main/docs/docs/Chronos/Algorithm/MTNetAlgorithm.md>`__. For the detailed algorithm description, please refer to `here <https://github.com/intel-analytics/BigDL/blob/main/docs/docs/Chronos/Algorithm/MTNetAlgorithm.md>`__.
.. automodule:: bigdl.chronos.forecaster.mtnet_forecaster .. automodule:: bigdl.chronos.forecaster.tf.mtnet_forecaster
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