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Improve the style of documentation (#1132)
This commit improves the documentation (rst files) only in the following three ways: * Aligned section headers with their underline/overline punctuation characters * Deleted all trailling whitespaces in rst files * Deleted a few trailling newlines at the end of the rst files Co-authored-by: Bingyao Liu <Bingyao.Liu@sofund.com>
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@@ -1,13 +1,13 @@
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.. _task_management:
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=================================
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===============
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Task Management
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=================================
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===============
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.. currentmodule:: qlib
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Introduction
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=============
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============
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The `Workflow <../component/introduction.html>`_ part introduces how to run research workflow in a loosely-coupled way. But it can only execute one ``task`` when you use ``qrun``.
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To automatically generate and execute different tasks, ``Task Management`` provides a whole process including `Task Generating`_, `Task Storing`_, `Task Training`_ and `Task Collecting`_.
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@@ -36,7 +36,7 @@ Here is the base class of ``TaskGen``:
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This class allows users to verify the effect of data from different periods on the model in one experiment. More information is `here <../reference/api.html#TaskGen>`_.
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Task Storing
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===============
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============
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To achieve higher efficiency and the possibility of cluster operation, ``Task Manager`` will store all tasks in `MongoDB <https://www.mongodb.com/>`_.
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``TaskManager`` can fetch undone tasks automatically and manage the lifecycle of a set of tasks with error handling.
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Users **MUST** finish the configuration of `MongoDB <https://www.mongodb.com/>`_ when using this module.
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@@ -57,7 +57,7 @@ Users need to provide the MongoDB URL and database name for using ``TaskManager`
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More information of ``Task Manager`` can be found in `here <../reference/api.html#TaskManager>`_.
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Task Training
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===============
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=============
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After generating and storing those ``task``, it's time to run the ``task`` which is in the *WAITING* status.
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``Qlib`` provides a method called ``run_task`` to run those ``task`` in task pool, however, users can also customize how tasks are executed.
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An easy way to get the ``task_func`` is using ``qlib.model.trainer.task_train`` directly.
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