revise Chronos api doc (#4993)
This commit is contained in:
Shane Huang
GitHub
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4 changed files with 143 additions and 112 deletions
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@ -5,35 +5,52 @@ AutoTCN
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-------------------------------------------
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AutoTCN is a TCN forecasting model with Auto tuning.
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Other API follows its base class(BaseAutomodel).
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.. automodule:: bigdl.chronos.autots.model.auto_tcn
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:members:
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:undoc-members:
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:show-inheritance:
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.. tabs::
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.. tab:: PyTorch
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.. automodule:: bigdl.chronos.autots.model.auto_tcn
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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AutoLSTM
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----------------------------------------
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AutoLSTM is an LSTM forecasting model with Auto tuning.
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Other API follows its base class(BaseAutomodel).
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.. automodule:: bigdl.chronos.autots.model.auto_lstm
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:members:
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:undoc-members:
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:show-inheritance:
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.. tabs::
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.. tab:: PyTorch
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.. automodule:: bigdl.chronos.autots.model.auto_lstm
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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AutoSeq2Seq
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----------------------------------------
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AutoSeq2Seq is an Seq2Seq forecasting model with Auto tuning.
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Other API follows its base class(BaseAutomodel).
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.. automodule:: bigdl.chronos.autots.model.auto_seq2seq
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:members:
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:undoc-members:
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:show-inheritance:
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.. tabs::
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.. tab:: PyTorch
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.. automodule:: bigdl.chronos.autots.model.auto_seq2seq
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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AutoARIMA
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----------------------------------------
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@ -44,6 +61,8 @@ AutoARIMA is an ARIMA forecasting model with Auto tuning.
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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AutoProphet
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----------------------------------------
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@ -54,11 +73,4 @@ AutoProphet is a Prophet forecasting model with Auto tuning.
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:members:
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:undoc-members:
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:show-inheritance:
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BaseAutomodel
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------------------------------------------------------------
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AutoLSTM, AutoSeq2Seq and AutoTCN all follow the same API as stated below.
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.. autoclass:: bigdl.chronos.autots.model.base_automodel.BaseAutomodel
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:members:
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:show-inheritance:
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:inherited-members:
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@ -7,10 +7,14 @@ AutoTSEstimator
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Automated TimeSeries Estimator for time series forecasting task.
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AutoTSEstimator will replace AutoTSTrainer in later version.
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.. automodule:: bigdl.chronos.autots.autotsestimator
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:members:
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:undoc-members:
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:show-inheritance:
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.. tabs::
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.. tab:: PyTorch
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.. automodule:: bigdl.chronos.autots.autotsestimator
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:members:
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:undoc-members:
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:show-inheritance:
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TSPipeline
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@ -19,7 +23,12 @@ TSPipeline
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TSPipeline is an E2E solution for time series forecasting task.
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AutoTSEstimator will replace original TSPipeline returned by AutoTSTrainer in later version.
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.. automodule:: bigdl.chronos.autots.tspipeline
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:members:
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:undoc-members:
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:show-inheritance:
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.. tabs::
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.. tab:: PyTorch
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.. automodule:: bigdl.chronos.autots.tspipeline
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:members:
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:undoc-members:
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:show-inheritance:
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@ -8,23 +8,27 @@ Long short-term memory(LSTM) is a special type of recurrent neural network(RNN).
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For the detailed algorithm description, please refer to `here <https://github.com/intel-analytics/BigDL/blob/main/docs/docs/Chronos/Algorithm/LSTMAlgorithm.md>`__.
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`version:pytorch`
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:strong:`Please refer to` `BasePytorchForecaster <https://bigdl.readthedocs.io/en/latest/doc/PythonAPI/Chronos/forecasters.html#basepytorchforecaster>`__ :strong:`for other methods other than initialization`.
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.. automodule:: bigdl.chronos.forecaster.lstm_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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.. tabs::
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`version:tensorflow`
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.. tab:: PyTorch
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:strong:`Please refer to` `BaseTF2Forecaster <https://qp-bigdl.readthedocs.io/en/latest/doc/PythonAPI/Chronos/forecasters.html#module-bigdl.chronos.forecaster.tf.base_forecaster>`__ :strong:`for other methods other than initialization`.
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.. automodule:: bigdl.chronos.forecaster.lstm_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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.. tab:: Tensorflow
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.. automodule:: bigdl.chronos.forecaster.tf.lstm_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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.. automodule:: bigdl.chronos.forecaster.tf.lstm_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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Seq2SeqForecaster
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@ -32,23 +36,23 @@ Seq2SeqForecaster
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Seq2SeqForecaster wraps a sequence to sequence model based on LSTM, and is suitable for multivariant & multistep time series forecasting.
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`version:pytorch`
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.. tabs::
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:strong:`Please refer to` `BasePytorchForecaster <https://bigdl.readthedocs.io/en/latest/doc/PythonAPI/Chronos/forecasters.html#basepytorchforecaster>`__ :strong:`for other methods other than initialization`.
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.. tab:: PyTorch
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.. automodule:: bigdl.chronos.forecaster.seq2seq_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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.. automodule:: bigdl.chronos.forecaster.seq2seq_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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`version:tensorflow`
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.. tab:: Tensorflow
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:strong:`Please refer to` `BaseTF2Forecaster <https://qp-bigdl.readthedocs.io/en/latest/doc/PythonAPI/Chronos/forecasters.html#module-bigdl.chronos.forecaster.tf.base_forecaster>`__ :strong:`for other methods other than initialization`.
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.. automodule:: bigdl.chronos.forecaster.tf.seq2seq_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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.. automodule:: bigdl.chronos.forecaster.tf.seq2seq_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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TCNForecaster
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@ -56,49 +60,55 @@ TCNForecaster
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Temporal Convolutional Networks (TCN) is a neural network that use convolutional architecture rather than recurrent networks. It supports multi-step and multi-variant cases. Causal Convolutions enables large scale parallel computing which makes TCN has less inference time than RNN based model such as LSTM.
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`version:pytorch`
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.. tabs::
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:strong:`Please refer to` `BasePytorchForecaster <https://bigdl.readthedocs.io/en/latest/doc/PythonAPI/Chronos/forecasters.html#basepytorchforecaster>`__ :strong:`for other methods other than initialization`.
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.. tab:: PyTorch
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.. automodule:: bigdl.chronos.forecaster.tcn_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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.. automodule:: bigdl.chronos.forecaster.tcn_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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`version:tensorflow`
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:strong:`Please refer to` `BaseTF2Forecaster <https://qp-bigdl.readthedocs.io/en/latest/doc/PythonAPI/Chronos/forecasters.html#module-bigdl.chronos.forecaster.tf.base_forecaster>`__ :strong:`for other methods other than initialization`.
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.. automodule:: bigdl.chronos.forecaster.tf.tcn_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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.. tab:: Tensorflow
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.. automodule:: bigdl.chronos.forecaster.tf.tcn_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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AutoformerForecaster
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----------------------------------------
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Autoformer is a neural network that use transformer architecture with autocorrelation. It supports multi-step and multi-variant cases. It shows significant accuracy improvement while longer training/inference time than TCN.
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`version:pytorch`
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.. tabs::
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.. automodule:: bigdl.chronos.forecaster.autoformer_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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.. tab:: PyTorch
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.. automodule:: bigdl.chronos.forecaster.autoformer_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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NBeatsForecaster
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----------------------------------------
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:strong:`Please refer to` `BasePytorchForecaster <https://bigdl.readthedocs.io/en/latest/doc/PythonAPI/Chronos/forecasters.html#basepytorchforecaster>`__ :strong:`for other methods other than initialization`.
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Neural basis expansion analysis for interpretable time series forecasting (`N-BEATS <https://arxiv.org/abs/1905.10437>`__) is a deep neural architecture based on backward and forward residual links and a very deep stack of fully-connected layers. Nbeats can solve univariate time series point forecasting problems, being interpretable, and fast to train.
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.. tabs::
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.. automodule:: bigdl.chronos.forecaster.nbeats_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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.. tab:: PyTorch
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Neural basis expansion analysis for interpretable time series forecasting (`N-BEATS <https://arxiv.org/abs/1905.10437>`__) is a deep neural architecture based on backward and forward residual links and a very deep stack of fully-connected layers. Nbeats can solve univariate time series point forecasting problems, being interpretable, and fast to train.
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.. automodule:: bigdl.chronos.forecaster.nbeats_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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TCMFForecaster
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@ -116,10 +126,16 @@ TCMFForecaster supports distributed training and inference. It is based on Orca
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* You can refer to `TCMFForecaster installation <https://github.com/intel-analytics/BigDL/blob/main/docs/docs/Chronos/tutorials/TCMFForecaster.md#step-0-prepare-environment>`__ to install required packages.
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* Your operating system (OS) is required to be one of the following 64-bit systems: **Ubuntu 16.04 or later** and **macOS 10.12.6 or later**.
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.. automodule:: bigdl.chronos.forecaster.tcmf_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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.. tabs::
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.. tab:: PyTorch
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.. automodule:: bigdl.chronos.forecaster.tcmf_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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MTNetForecaster
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----------------------------------------
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@ -130,10 +146,15 @@ MTNet is proposed by paper `A Memory-Network Based Solution for Multivariate Tim
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For the detailed algorithm description, please refer to `here <https://github.com/intel-analytics/BigDL/blob/main/docs/docs/Chronos/Algorithm/MTNetAlgorithm.md>`__.
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.. automodule:: bigdl.chronos.forecaster.tf.mtnet_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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.. tabs::
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.. tab:: Tensorflow
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.. automodule:: bigdl.chronos.forecaster.tf.mtnet_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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ARIMAForecaster
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@ -145,7 +166,7 @@ AutoRegressive Integrated Moving Average (ARIMA) is a class of statistical model
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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ProphetForecaster
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----------------------------------------
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@ -158,20 +179,4 @@ For the detailed algorithm description, please refer to `here <https://github.co
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:members:
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:undoc-members:
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:show-inheritance:
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BasePytorchForecaster
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----------------------------------------
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.. autoclass:: bigdl.chronos.forecaster.base_forecaster.BasePytorchForecaster
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:members:
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:show-inheritance:
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BaseTF2Forecaster
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----------------------------------------
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.. automodule:: bigdl.chronos.forecaster.tf.base_forecaster
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:members:
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:undoc-members:
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:show-inheritance:
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:inherited-members:
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@ -4,7 +4,12 @@ Simulator
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DPGANSimulator
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------------------------------------
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.. automodule:: bigdl.chronos.simulator.doppelganger_simulator
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:members:
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:undoc-members:
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:show-inheritance:
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.. tabs::
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.. tab:: PyTorch
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.. automodule:: bigdl.chronos.simulator.doppelganger_simulator
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:members:
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:undoc-members:
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:show-inheritance:
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