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feat: update the test and doc
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Makefile

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@@ -7,7 +7,7 @@ CHECK_DIRS := tfts examples tests
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style: ## Run formatters and linters (black, isort, flake8, pre-commit)
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black $(CHECK_DIRS)
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isort $(CHECK_DIRS)
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flake8 $(check_dirs)
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flake8 $(CHECK_DIRS)
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pre-commit run --all-files
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## Run all unit tests

README.md

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You could train your own data by preparing 3D data as inputs, for both inputs and targets
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- option1 `np.ndarray`
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- option2 `tf.data.Dataset`
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- option3 `tf.keras.utils.Sequence`
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Encoder only model inputs
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README_CN.md

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为方便使用,将数据转化为三维作为tfts的输入
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- 选项1 `np.ndarray`
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- 选项2 `tf.data.Dataset`
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- 选项3 `tf.keras.utils.Sequence`
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编码类模型输入
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docs/source/api.rst

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:template: custom-module-template.rst
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:recursive:
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datasets
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data
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features
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layers
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models
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losses
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trainer
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tasks

docs/source/conf.py

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html_sidebars = {
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"index": [],
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"quick-start": [],
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"installation": [],
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"tutorials": [],
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"models": [],
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"tricks": [],
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"CHANGELOG": [],
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"feature_engineering": [],
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"faq": [],
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}
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