Merge pull request #86 from PaddlePaddle/dev_0.1

merge Dev 0.1 into Main

Author: yangs16

README_en.md

@@ -49,15 +49,17 @@ In future, more advanced features will be coming, including:
 
 Specifically, PaddleTS consists of the following modules:
 
-| Module                                                                                                     | Description                                                                                                                     |
-|------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|
-| [**paddlets.datasets**](https://paddlets.readthedocs.io/en/latest/source/modules/datasets/overview.html)   | Unified time series representation (TSDataset) and data repository with pre-built TSDatasets.                                   |
-| [**paddlets.transform**](https://paddlets.readthedocs.io/en/latest/source/modules/transform/overview.html) | Data preprocessing and data transformations.                                                                                    |
-| [**paddlets.models**](https://paddlets.readthedocs.io/en/latest/source/modules/models/overview.html)       | PaddlePaddle-based deep nueral network models for time series modeling.                                                         |
-| [**paddlets.pipeline**](https://paddlets.readthedocs.io/en/latest/source/modules/pipeline/overview.html)   | Pipeline for building time sereis analysis and modeling workflows.                                                             |
-| [**paddlets.metrics**](https://paddlets.readthedocs.io/en/latest/source/modules/metrics/overview.html)     | Metrics for measuring the performance of a model.                                                                               |
-| [**paddlets.analysis**](https://paddlets.readthedocs.io/en/latest/source/modules/analysis/overview.html)   | Quick data exploration and advanced data analysis.                                                                              |
-| [**paddlets.utils**](https://paddlets.readthedocs.io/en/latest/source/modules/backtest/overview.html)      | Utility functions.                                                                                                              |
+
+| Module                                                                                                     | Description                                                                                   |
+|------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------|
+| [**paddlets.datasets**](https://paddlets.readthedocs.io/en/latest/source/modules/datasets/overview.html)   | Unified time series representation (TSDataset) and data repository with pre-built TSDatasets. |
+| [**paddlets.transform**](https://paddlets.readthedocs.io/en/latest/source/modules/transform/overview.html) | Data preprocessing and data transformations.                                                  |
+| [**paddlets.models**](https://paddlets.readthedocs.io/en/latest/source/modules/models/overview.html)       | PaddlePaddle-based deep neural network models for time series modeling.                       |
+| [**paddlets.pipeline**](https://paddlets.readthedocs.io/en/latest/source/modules/pipeline/overview.html)   | Pipeline for building time series analysis and modeling workflows.                            |
+| [**paddlets.metrics**](https://paddlets.readthedocs.io/en/latest/source/modules/metrics/overview.html)     | Metrics for measuring the performance of a model.                                             |
+| [**paddlets.analysis**](https://paddlets.readthedocs.io/en/latest/source/modules/analysis/overview.html)   | Quick data exploration and advanced data analysis.                                            |
+| [**paddlets.utils**](https://paddlets.readthedocs.io/en/latest/source/modules/backtest/overview.html)      | Utility functions.                                                                            |
+
 
 ## Installation
 

docs/locale/zh_CN/LC_MESSAGES/source/api/paddlets.datasets.tsdataset.po

@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: PaddleTS \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2022-07-22 10:50+0800\n"
+"POT-Creation-Date: 2022-07-26 10:46+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <[email protected]>\n"
@@ -18,120 +18,124 @@ msgstr ""
 "Generated-By: Babel 2.10.3\n"
 
 #: ../../source/api/paddlets.models.dl.paddlepaddle.nbeats.rst:2
-#: c4f9192486994290bf24f900b61923ff
+#: ad9b37ca78ba497e9993542067ec8e0c
 msgid "paddlets.models.dl.paddlepaddle.nbeats"
 msgstr "paddlets.models.dl.paddlepaddle.nbeats"
 
-#: 086bf27e1a4f4917a9cd5a612268f423 paddlets.models.dl.paddlepaddle.nbeats:1 of
+#: a96353ad675a4b06ac87804f0d45ed5f of paddlets.models.dl.paddlepaddle.nbeats:1
+#, fuzzy
 msgid ""
 "This implementation is based on the article `N-BEATS: Neural basis "
-"expansion analysis for interpretable time series "
-"forecasting<https://arxiv.org/pdf/1905.10437.pdf>`."
+"expansion analysis for interpretable time series forecasting "
+"<https://arxiv.org/pdf/1905.10437.pdf>`_ ."
 msgstr ""
-"基于论文：`N-BEATS: Neural basis expansion analysis for interpretable time "
-"series forecasting` 实现，<https://arxiv.org/pdf/1905.10437.pdf>"
+"N-BEATS模型实现，基于论文：`N-BEATS: Neural basis expansion analysis for interpretable time "
+"series forecasting <https://arxiv.org/pdf/1905.10437.pdf>`_ 。"
 
-#: paddlets.models.dl.paddlepaddle.nbeats:8 c01b622942c0410ead85ff267c54a98e of
+#: a569a4c46627471e9b7223c534625f18 of paddlets.models.dl.paddlepaddle.nbeats:8
 msgid "Base model features"
 msgstr "原模型特性"
 
-#: paddlets.models.dl.paddlepaddle.nbeats:4 c579f0c95ac146a894ec684ae685d5b4 of
+#: c24c509b459e4b178c86e73887c7f776 of paddlets.models.dl.paddlepaddle.nbeats:4
 msgid ""
 "Basic architecture: A network with hierarchical stacking, bi-directional "
 "residual connection and interpretable generator."
 msgstr "基础架构：多层堆栈，双向残差连接，并具有可解释性生成器的网络结构。"
 
-#: paddlets.models.dl.paddlepaddle.nbeats:6 ff3c21e3e26e4c789d5185a640c79c72 of
+#: cf968bbaa52a4103b6718f584010785e of paddlets.models.dl.paddlepaddle.nbeats:6
 msgid ""
 "Hierarchical stacking: The Design of multi-stacks with multi-blocks in "
 "each is for different kinds of information extraction, ie, trend, "
 "seasonality, etc.."
 msgstr "多层堆栈：多栈与多模块循环堆叠，各栈用来提取不同的可解释特性，比如趋势性与季节性。"
 
-#: 11d7e4765e364a0f8cde00d22447a494 paddlets.models.dl.paddlepaddle.nbeats:8 of
+#: d83d48964c3542d6bcbad014183ce36a of paddlets.models.dl.paddlepaddle.nbeats:8
 msgid ""
 "Bi-directional residual cascade: The backward residual connection is for "
 "computing of the residual signal, and pass the residual to the next "
 "layer; the forward residual connection is for accumulating  all layers' "
 "forecasts to the final output."
 msgstr "双向残差串联结构：向后残差连接用来计算历史残差信号，并传递至下一层网络；向前差残连接累加计算得到最终模型预测。"
 
-#: 15c1996521bf46b19fcd23a398c4ca29 paddlets.models.dl.paddlepaddle.nbeats:14 of
+#: 61140c81f44f44ae8b0f3a5b2ce9b288 of
+#: paddlets.models.dl.paddlepaddle.nbeats:14
 msgid "Updated features"
 msgstr "升级模型特性"
 
-#: 622dc1ce4f954da083635cdd2c43526b paddlets.models.dl.paddlepaddle.nbeats:11 of
+#: b17ba92766d64a6aa392bbe294225a2f of
+#: paddlets.models.dl.paddlepaddle.nbeats:11
 msgid "Multi-target: support multi-target modelling."
 msgstr "多目标变量：支持多目标建模。"
 
-#: 7268801fadfd4760ad0a70f716e74227 paddlets.models.dl.paddlepaddle.nbeats:13 of
+#: ec595bf44f77480a9b0b1a17d59e10ba of
+#: paddlets.models.dl.paddlepaddle.nbeats:13
 msgid ""
 "Covariates: support known covariates(future known covariates) and "
 "observed covariates(future unknown covariates)."
 msgstr "协变量：支持可预知协变量特征与观测协变量特征。"
 
-#: 5d0c3e55bba24f28ba99d0a3ce805aed
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:1 of
+#: 13680e427e9746c79adfb0d3ed76b300 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:1
 msgid ""
 "Bases: "
 ":py:class:`~paddlets.models.dl.paddlepaddle.paddle_base_impl.PaddleBaseModelImpl`"
 msgstr ""
 
-#: a4acab65a8034a60a0f88cda6e66ceb3
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:1 of
+#: 37d188791b084f6e903b916284af8b1a of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:1
 msgid "Implementation of NBeats model."
 msgstr "NBeats模型实现。"
 
-#: 326ac95c2b054a7288ca96805ad7b6eb
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel of
+#: 6f69547d09b9461fb8b9e489f2d582b2 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel
 msgid "Parameters"
 msgstr "参数"
 
-#: 5c83ea112c5e405eaaa52e4c0ce7202b
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:3 of
+#: cd23287a290442a99064ecda7c185e89 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:3
 msgid ""
 "The size of the loopback window, i.e., the number of time steps feed to "
 "the model."
 msgstr "模型输入的时间序列长度。"
 
-#: a8d9b105c4a34041881b0479fcb59498
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:5 of
+#: bd1a52c5226241f19160a23f33920278 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:5
 msgid ""
 "The size of the forecasting horizon, i.e., the number of time steps "
 "output by the model."
 msgstr "模型输出的序列长度。"
 
-#: 67fbed58d7dd48c6a8f267b30f3eb359
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:7 of
+#: 29dc741038b24e1181d9e32088370c95 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:7
 msgid ""
 "Boolean value indicating whether the generic architecture of N-BEATS is "
 "used. If not, the interpretable architecture outlined in the paper "
 "(consisting of one trend and one seasonality stack with appropriate "
 "waveform generator functions)."
 msgstr "布尔类型变量，指示是否使用普通网络结构，如不使用则使用可解释性网络结构。"
 
+#: 4849828549804a4ca9bf9f8810087a4a of
 #: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:9
-#: c9635c5df28e4875bf6742653d64f4fc of
 msgid ""
 "The number of stacks that make up the whole model. Only used if "
 "`generic_architecture` is set to `True`."
 msgstr "stack数量，当generic_architecture为True时生效。"
 
-#: aecd14853ad74dbc8bd38a3cea4b3902
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:11 of
+#: 4c410cde220943fd91bbe82c861e7101 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:11
 msgid "The number of blocks making up every stack."
 msgstr "构成每个stack的block数量。"
 
+#: be326b9ccee441ceae8af7fc7ca80261 of
 #: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:13
-#: e55d7e6249f94aba87a42a133665c27d of
 msgid ""
 "The number of fully connected layers preceding the final forking layers "
 "in each block of every stack. Only used if `generic_architecture` is set "
 "to `True`."
 msgstr "每个block中分叉结构前的全连接层数量，仅当generic_architecture为True时生效。"
 
-#: 3273a90fb4fe4af59a919834ac7262d9
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:15 of
+#: ac41880856ae4f65ae3b3d13f8c8cc23 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:15
 msgid ""
 "Determines the number of neurons that make up each fully connected layer "
 "in each block of every stack. If a list is passed, it must have a length "
@@ -140,84 +144,84 @@ msgid ""
 "stack will have blocks with FC layers of the same width."
 msgstr "每个block中全连接层的神经元数量，如果传入list，则list长度必须等于num_stacks，且list中每个元素对应于当前层的神经元数量。如果传入整数，则每个stack中的block中具有相同的神经元数量。"
 
-#: 163048088ddf47d1a880c5f7b9e2251b
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:17 of
+#: 41a82550d84a4b6d8f6af95267f9a4c3 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:17
 msgid ""
 "The dimensionality of the waveform generator parameters, also known as "
 "expansion coefficients. Only used if `generic_architecture` is set to "
 "`True`."
 msgstr "波形生成器参数个数，仅当generic_architecture为True时生效。"
 
+#: 4cde0d31b9ac4d93bfa92107894bbb4f of
 #: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:19
-#: e7f0c4f025e545f8aa9983c27146f760 of
 msgid ""
 "The degree of the polynomial used as waveform generator in trend stacks. "
 "Only used if `generic_architecture` is set to `False`."
 msgstr "季节性波形生成器的多项式次数，仅当generic_architecture为False时生效。"
 
-#: b098c5d1e1d04daf89703af5a513c017
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:21 of
+#: cfcb3d70bce54118b4163e1954bfd94e of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:21
 msgid ""
 "Optional, the number of time steps between in_chunk and out_chunk for a "
 "single sample. The skip chunk is neither used as a feature (i.e. X) nor a"
 " label (i.e. Y) for a single sample. By default it will NOT skip any time"
 " steps."
 msgstr "可选变量， 输入序列与输出序列之间跳过的序列长度，既不作为特征也不作为预测目标使用，默认值为0。"
 
-#: 30aa61de5f6e4b53b72beb03c4d87f95
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:23 of
+#: beef2797eb724c81b8ac2de5c499bc00 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:23
 msgid "sampling intervals between two adjacent samples."
 msgstr "相邻两个样本的采样间隔。"
 
+#: 2ea43a29330344e7a059b9abe1e3748c of
 #: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:25
-#: c63bd2dad68341a2856e7278c591915d of
 msgid "loss function."
 msgstr "损失函数。"
 
-#: b9dfb4fa39c742f081d826076372cba8
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:27 of
+#: 4cb72b40319a4ebd9844bba606651067 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:27
 msgid "optimizer algorithm."
 msgstr "优化器算法。"
 
-#: 67b102c54197480aaf0e5c3e974b854b
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:29 of
+#: fb2a2110dc31491d978f984c9ef4dd1e of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:29
 msgid "optimizer parameters."
 msgstr "优化器参数。"
 
-#: 3ab284af2a614e96a3317e5c930d9b4b
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:31 of
+#: 3ff572fca9a24b218b1ac4b4a1dbf7d1 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:31
 msgid "evaluation metrics of model."
 msgstr "模型评估指标。"
 
-#: 0c6bf9e60101441290d45eae5ccf3af5
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:33 of
+#: 03c21cae9d8140a58dc1d28bfff8aab3 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:33
 msgid "customized callback functions."
 msgstr "自定义的callback函数。"
 
-#: 849e53ac7a484b508a614dd37ed63fe9
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:35 of
+#: 583b4b8e43b341fda4619c3ca738d2bd of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:35
 msgid "number of samples per batch."
 msgstr "每个batch中的样本数量。"
 
-#: 85450b55fa8d4eddb3ae0ad21ed61576
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:37 of
+#: 84de3655af1c4741976a4043719315e3 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:37
 msgid "max epochs during training."
 msgstr "训练过程中最大迭代轮数。"
 
-#: 9e52415a42ab4342a839227b8769bf4d
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:39 of
+#: 2d2b3082525d429a8f0fe92e9bb83c09 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:39
 msgid "verbosity mode."
 msgstr "模型日志模式。"
 
-#: 513dfef408d74aa09af1e102f27b70f8
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:41 of
+#: 536be7c4db804269913e310dbcf0e3ef of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:41
 msgid ""
 "number of epochs with no improvement after which learning rate wil be "
 "reduced."
 msgstr "训练过程中学习率降低所需的效果不再提升的轮数。"
 
-#: 70e0539da99542ba93bc4f1e89efa464
-#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:43 of
+#: 6cebfb7142044c069c46fcbafdb9e6a9 of
+#: paddlets.models.dl.paddlepaddle.nbeats.NBEATSModel:43
 msgid "global random seed."
 msgstr "全局随机种子。"