From bff3a2250e38e994e3c021b6f9f2f77cf1b800b4 Mon Sep 17 00:00:00 2001 From: Junwei Deng <35031544+TheaperDeng@users.noreply.github.com> Date: Thu, 4 Nov 2021 15:09:10 +0800 Subject: [PATCH] Chronos: link updates for api docs (#3395) * add link updates * add changes --- .../source/doc/PythonAPI/Chronos/forecasters.rst | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/readthedocs/source/doc/PythonAPI/Chronos/forecasters.rst b/docs/readthedocs/source/doc/PythonAPI/Chronos/forecasters.rst index f1684869..93951d43 100644 --- a/docs/readthedocs/source/doc/PythonAPI/Chronos/forecasters.rst +++ b/docs/readthedocs/source/doc/PythonAPI/Chronos/forecasters.rst @@ -8,7 +8,7 @@ Please refer to BasePytorchForecaster for other methods other than initializatio Long short-term memory(LSTM) is a special type of recurrent neural network(RNN). We implement the basic version of LSTM - VanillaLSTM for this forecaster for time-series forecasting task. It has two LSTM layers, two dropout layer and a dense layer. -For the detailed algorithm description, please refer to `here `__. +For the detailed algorithm description, please refer to `here `__. .. automodule:: bigdl.chronos.forecaster.lstm_forecaster :members: @@ -45,7 +45,7 @@ Temporal Convolutional Networks (TCN) is a neural network that use convolutional TCMFForecaster ---------------------------------------- -Analytics Zoo Chronos TCMFForecaster provides an efficient way to forecast high dimensional time series. +Chronos TCMFForecaster provides an efficient way to forecast high dimensional time series. TCMFForecaster is based on DeepGLO algorithm, which is a deep forecasting model which thinks globally and acts locally. You can refer to `the deepglo paper `__ for more details. @@ -54,7 +54,7 @@ TCMFForecaster supports distributed training and inference. It is based on Orca **Remarks**: -* You can refer to `TCMFForecaster installation `__ to install required packages. +* You can refer to `TCMFForecaster installation `__ to install required packages. * 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**. .. automodule:: bigdl.chronos.forecaster.tcmf_forecaster @@ -68,9 +68,9 @@ 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 proposed by paper `A Memory-Network Based Solution for Multivariate Time-Series Forecasting `__. MTNetForecaster is derived from tfpark.KerasMode, and can use all methods of KerasModel. Refer to `tfpark.KerasModel API Doc `__ for details. +MTNet is proposed by paper `A Memory-Network Based Solution for Multivariate Time-Series Forecasting `__. MTNetForecaster is derived from tfpark.KerasMode, and can use all methods of KerasModel. Refer to `tfpark.KerasModel API Doc `__ for details. -For the detailed algorithm description, please refer to `here `__. +For the detailed algorithm description, please refer to `here `__. .. automodule:: bigdl.chronos.forecaster.mtnet_forecaster :members: