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Reviewed-by: Goncharov, Artem <artem.goncharov@t-systems.com>
Co-authored-by: proposalbot <proposalbot@otc-service.com>
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umn/source/audit_logs/index.rst
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:original_name: modelarts_23_0249.html
.. _modelarts_23_0249:
==========
Audit Logs
==========
- :ref:`Key Operations Recorded by CTS <modelarts_23_0250>`
- :ref:`Viewing Audit Logs <modelarts_23_0251>`
.. toctree::
:maxdepth: 1
:hidden:
key_operations_recorded_by_cts
viewing_audit_logs

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umn/source/custom_images/for_importing_models/index.rst
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:original_name: modelarts_23_0218.html
.. _modelarts_23_0218:
====================
For Importing Models
====================
- :ref:`Specifications for Custom Images Used for Importing Models <modelarts_23_0219>`
- :ref:`Importing a Model Using a Custom Image <modelarts_23_0086>`
.. toctree::
:maxdepth: 1
:hidden:
specifications_for_custom_images_used_for_importing_models
importing_a_model_using_a_custom_image

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umn/source/custom_images/for_training_models/index.rst
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:original_name: modelarts_23_0216.html
.. _modelarts_23_0216:
===================
For Training Models
===================
- :ref:`Specifications for Custom Images Used for Training Jobs <modelarts_23_0217>`
- :ref:`Creating a Training Job Using a Custom Image (GPU) <modelarts_23_0087>`
.. toctree::
:maxdepth: 1
:hidden:
specifications_for_custom_images_used_for_training_jobs
creating_a_training_job_using_a_custom_image_gpu

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umn/source/custom_images/index.rst
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:original_name: modelarts_23_0083.html
.. _modelarts_23_0083:
=============
Custom Images
=============
- :ref:`Introduction to Custom Images <modelarts_23_0084>`
- :ref:`Creating and Uploading a Custom Image <modelarts_23_0085>`
- :ref:`For Training Models <modelarts_23_0216>`
- :ref:`For Importing Models <modelarts_23_0218>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_custom_images
creating_and_uploading_a_custom_image

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umn/source/data_management/importing_data/index.rst
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:original_name: modelarts_23_0005.html
.. _modelarts_23_0005:
==============
Importing Data
==============
- :ref:`Import Operation <modelarts_23_0006>`
- :ref:`Specifications for Importing Data from an OBS Directory <modelarts_23_0008>`
- :ref:`Specifications for Importing the Manifest File <modelarts_23_0009>`
.. toctree::
:maxdepth: 1
:hidden:
import_operation
specifications_for_importing_data_from_an_obs_directory

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:original_name: modelarts_23_0002.html
.. _modelarts_23_0002:
===============
Data Management
===============
ModelArts is easy to use for users with different experience.
- For service developers without AI development experience, you can use ExeML of ModelArts to build AI models without coding.
- For developers who are familiar with code compilation, debugging, and common AI engines, ModelArts provides online code compiling environments as well as AI development lifecycle that covers data preparation, model training, model management, and service deployment, helping the developers build models efficiently and quickly.
ExeML
-----
ExeML is a customized code-free model development tool that helps users start AI application development from scratch with high flexibility. ExeML automates model design, parameter tuning and training, and model compression and deployment with the labeled data. Developers do not need to develop basic and encoding capabilities, but only to upload data and complete model training and deployment as prompted by ExeML.
For details about how to use ExeML, see :ref:`Introduction to ExeML <modelarts_21_0001>`.
AI Development Lifecycle
------------------------
The AI development lifecycle on ModelArts takes developers' habits into consideration and provides a variety of engines and scenarios for developers to choose. The following describes the entire process from data preparation to service development using ModelArts.
.. _modelarts_23_0002__en-us_topic_0171857760_fig6769203518431:
.. figure:: /_static/images/en-us_image_0000001278130605.png
:alt: **Figure 1** Process of using ModelArts
**Figure 1** Process of using ModelArts
.. table:: **Table 1** Process description
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
| Task | Sub Task | Description | Reference |
+==================+==================================================+==========================================================================================================================================================================================================================+==========================================================================================+
| Data preparation | Creating a dataset | Create a dataset in ModelArts to manage and preprocess your business data. | :ref:`Creating a Dataset <modelarts_23_0004>` |
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
| | Labeling data | Label and preprocess the data in your dataset based on the business logic to facilitate subsequent training. Data labeling affects the model training performance. | :ref:`Labeling Data <modelarts_23_0010>` |
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
| | Publishing a dataset | After labeling data, publish the database to generate a dataset version that can be used for model training. | :ref:`Publishing a Dataset <modelarts_23_0018>` |
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
| Development | Creating a notebook instance | Create a notebook instance as the development environment. | :ref:`Creating a Notebook Instance <modelarts_23_0034>` |
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
| | Compiling code | Compile code in an existing notebook to directly build a model. | :ref:`Opening a Notebook Instance <modelarts_23_0325>` |
| | | | |
| | | | :ref:`Common Operations on Jupyter Notebook <modelarts_23_0120>` |
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
| | Exporting the **.py** file | Export the compiled training script as a **.py** file for subsequent operations, such as model training and management. | :ref:`Using the Convert to Python File Function <modelarts_23_0037>` |
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
| Model training | Creating a training job | Create a training job, upload and use the compiled training script. After the training is complete, a model is generated and stored in OBS. | :ref:`Introduction to Training Jobs <modelarts_23_0046>` |
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
| | (Optional) Creating a visualization job | Create a visualization job (TensorBoard type) to view the model training process, learn about the model, and adjust and optimize the model. Currently, visualization jobs only support the MXNet and TensorFlow engines. | :ref:`Managing Visualization Jobs <modelarts_23_0050>` |
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
| Model management | Compiling inference code and configuration files | Following the model package specifications provided by ModelArts, compile inference code and configuration files for your model, and save the inference code and configuration files to the training output location. | :ref:`Model Package Specifications <modelarts_23_0090>` |
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
| | Importing a model | Import the training model to ModelArts to facilitate service deployment. | :ref:`Introduction to Model Management <modelarts_23_0052>` |
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
| Model deployment | Deploying a model as a service | Deploy a model as a real-time or batch service. | - :ref:`Deploying a Model as a Real-Time Service <modelarts_23_0060>` |
| | | | - :ref:`Deploying a Model as a Batch Service <modelarts_23_0066>` |
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
| | Accessing the service | After the service is deployed, access the real-time service, or view the prediction result of the batch service. | - :ref:`Accessing a Real-Time Service (Token-based Authentication) <modelarts_23_0063>` |
| | | | - :ref:`Viewing the Batch Service Prediction Result <modelarts_23_0067>` |
+------------------+--------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------+
- :ref:`Introduction to Data Management <modelarts_23_0003>`
- :ref:`Creating a Dataset <modelarts_23_0004>`
- :ref:`Labeling Data <modelarts_23_0010>`
- :ref:`Importing Data <modelarts_23_0005>`
- :ref:`Exporting Data <modelarts_23_0214>`
- :ref:`Modifying a Dataset <modelarts_23_0020>`
- :ref:`Publishing a Dataset <modelarts_23_0018>`
- :ref:`Deleting a Dataset <modelarts_23_0021>`
- :ref:`Managing Dataset Versions <modelarts_23_0019>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_data_management
creating_a_dataset

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umn/source/data_management/labeling_data/index.rst
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:original_name: modelarts_23_0010.html
.. _modelarts_23_0010:
=============
Labeling Data
=============
- :ref:`Image Classification <modelarts_23_0011>`
- :ref:`Object Detection <modelarts_23_0012>`
- :ref:`Image Segmentation <modelarts_23_0345>`
- :ref:`Text Classification <modelarts_23_0013>`
- :ref:`Named Entity Recognition <modelarts_23_0014>`
- :ref:`Text Triplet <modelarts_23_0211>`
- :ref:`Sound Classification <modelarts_23_0015>`
- :ref:`Speech Labeling <modelarts_23_0016>`
- :ref:`Speech Paragraph Labeling <modelarts_23_0017>`
- :ref:`Video Labeling <modelarts_23_0282>`
.. toctree::
:maxdepth: 1
:hidden:
image_classification
object_detection

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umn/source/devenviron_notebook/index.rst
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:original_name: modelarts_23_0032.html
.. _modelarts_23_0032:
=====================
DevEnviron (Notebook)
=====================
- :ref:`Introduction to Notebook <modelarts_23_0033>`
- :ref:`Managing Notebook Instances <modelarts_23_0111>`
- :ref:`Using Jupyter Notebook <modelarts_23_0035>`
- :ref:`Using JupyterLab <modelarts_23_0330>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_notebook
managing_notebook_instances/index

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umn/source/devenviron_notebook/managing_notebook_instances/index.rst
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:original_name: modelarts_23_0111.html
.. _modelarts_23_0111:
===========================
Managing Notebook Instances
===========================
- :ref:`Creating a Notebook Instance <modelarts_23_0034>`
- :ref:`Opening a Notebook Instance <modelarts_23_0325>`
- :ref:`Starting or Stopping a Notebook Instance <modelarts_23_0041>`
- :ref:`Deleting a Notebook Instance <modelarts_23_0042>`
.. toctree::
:maxdepth: 1
:hidden:
creating_a_notebook_instance
opening_a_notebook_instance

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umn/source/devenviron_notebook/using_jupyter_notebook/configuring_the_jupyter_notebook_environment/index.rst
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:original_name: modelarts_23_0327.html
.. _modelarts_23_0327:
============================================
Configuring the Jupyter Notebook Environment
============================================
- :ref:`Using the Notebook Terminal Function <modelarts_23_0117>`
- :ref:`Switching the CUDA Version on the Terminal Page of a GPU-based Notebook Instance <modelarts_23_0280>`
- :ref:`Installing External Libraries and Kernels in Notebook Instances <modelarts_23_0040>`
.. toctree::
:maxdepth: 1
:hidden:
using_the_notebook_terminal_function
switching_the_cuda_version_on_the_terminal_page_of_a_gpu-based_notebook_instance

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umn/source/devenviron_notebook/using_jupyter_notebook/index.rst
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:original_name: modelarts_23_0035.html
.. _modelarts_23_0035:
======================
Using Jupyter Notebook
======================
- :ref:`Introduction to Jupyter Notebook <modelarts_23_0326>`
- :ref:`Common Operations on Jupyter Notebook <modelarts_23_0120>`
- :ref:`Configuring the Jupyter Notebook Environment <modelarts_23_0327>`
- :ref:`Using ModelArts SDKs <modelarts_23_0039>`
- :ref:`Synchronizing Files with OBS <modelarts_23_0038>`
- :ref:`Using the Convert to Python File Function <modelarts_23_0037>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_jupyter_notebook
common_operations_on_jupyter_notebook

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umn/source/devenviron_notebook/using_jupyterlab/index.rst
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:original_name: modelarts_23_0330.html
.. _modelarts_23_0330:
================
Using JupyterLab
================
- :ref:`Introduction to JupyterLab and Common Operations <modelarts_23_0209>`
- :ref:`Uploading and Downloading Data <modelarts_23_0331>`
- :ref:`Using ModelArts SDKs <modelarts_23_0335>`
- :ref:`Synchronizing Files with OBS <modelarts_23_0336>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_jupyterlab_and_common_operations
uploading_and_downloading_data/index

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umn/source/devenviron_notebook/using_jupyterlab/uploading_and_downloading_data/index.rst
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:original_name: modelarts_23_0331.html
.. _modelarts_23_0331:
==============================
Uploading and Downloading Data
==============================
- :ref:`Uploading Data to JupyterLab <modelarts_23_0332>`
- :ref:`Downloading a File from JupyterLab <modelarts_23_0333>`
.. toctree::
:maxdepth: 1
:hidden:
uploading_data_to_jupyterlab
downloading_a_file_from_jupyterlab

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umn/source/examples_of_custom_scripts/index.rst
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:original_name: modelarts_23_0172.html
.. _modelarts_23_0172:
==========================
Examples of Custom Scripts
==========================
- :ref:`TensorFlow <modelarts_23_0173>`
- :ref:`PyTorch <modelarts_23_0175>`
- :ref:`Caffe <modelarts_23_0176>`
- :ref:`XGBoost <modelarts_23_0177>`
- :ref:`PySpark <modelarts_23_0178>`
- :ref:`Scikit Learn <modelarts_23_0179>`
.. toctree::
:maxdepth: 1
:hidden:
tensorflow
pytorch

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umn/source/exeml/image_classification/index.rst
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:original_name: modelarts_21_0002.html
.. _modelarts_21_0002:
====================
Image Classification
====================
- :ref:`Preparing Data <modelarts_21_0003>`
- :ref:`Creating a Project <modelarts_21_0004>`
- :ref:`Labeling Data <modelarts_21_0005>`
- :ref:`Training a Model <modelarts_21_0006>`
- :ref:`Deploying a Model as a Service <modelarts_21_0007>`
.. toctree::
:maxdepth: 1
:hidden:
preparing_data
creating_a_project

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umn/source/exeml/index.rst
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:original_name: modelarts_21_0000.html
.. _modelarts_21_0000:
=====
ExeML
=====
- :ref:`Introduction to ExeML <modelarts_21_0001>`
- :ref:`Image Classification <modelarts_21_0002>`
- :ref:`Object Detection <modelarts_21_0008>`
- :ref:`Predictive Analytics <en-us_topic_0000001297767637>`
- :ref:`Tips <modelarts_21_0030>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_exeml
image_classification/index

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umn/source/exeml/object_detection/index.rst
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:original_name: modelarts_21_0008.html
.. _modelarts_21_0008:
================
Object Detection
================
- :ref:`Preparing Data <modelarts_21_0009>`
- :ref:`Creating a Project <modelarts_21_0010>`
- :ref:`Labeling Data <modelarts_21_0011>`
- :ref:`Training a Model <modelarts_21_0012>`
- :ref:`Deploying a Model as a Service <modelarts_21_0013>`
.. toctree::
:maxdepth: 1
:hidden:
preparing_data
creating_a_project

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umn/source/exeml/predictive_analytics/index.rst
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:original_name: en-us_topic_0000001297767637.html
.. _en-us_topic_0000001297767637:
====================
Predictive Analytics
====================
- :ref:`Preparing Data <modelarts_21_0015>`
- :ref:`Creating a Project <modelarts_21_0016>`
- :ref:`Selecting a Label Column <modelarts_21_0017>`
- :ref:`Training a Model <modelarts_21_0018>`
- :ref:`Deploying a Model as a Service <modelarts_21_0019>`
.. toctree::
:maxdepth: 1
:hidden:
preparing_data
creating_a_project

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umn/source/exeml/tips/index.rst
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:original_name: modelarts_21_0030.html
.. _modelarts_21_0030:
====
Tips
====
- :ref:`How Do I Quickly Create an OBS Bucket and a Folder When Creating a Project? <modelarts_21_0031>`
- :ref:`How Do I View the Added Data in an ExeML Project? <modelarts_21_0032>`
- :ref:`How Do I Perform Incremental Training in an ExeML Project? <modelarts_21_0033>`
- :ref:`Where Are Models Generated by ExeML Stored? What Other Operations Are Supported? <modelarts_21_0034>`
.. toctree::
:maxdepth: 1
:hidden:
how_do_i_quickly_create_an_obs_bucket_and_a_folder_when_creating_a_project
how_do_i_view_the_added_data_in_an_exeml_project

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umn/source/faqs/data_management/index.rst
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:original_name: modelarts_05_0101.html
.. _modelarts_05_0101:
===============
Data Management
===============
- :ref:`Are There Size Limits for Images to be Uploaded? <modelarts_21_0063>`
- :ref:`Why Does Data Fail to Be Imported Using the Manifest File? <modelarts_05_0103>`
.. toctree::
:maxdepth: 1
:hidden:
are_there_size_limits_for_images_to_be_uploaded
why_does_data_fail_to_be_imported_using_the_manifest_file

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umn/source/faqs/exeml/index.rst
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:original_name: modelarts_05_0015.html
.. _modelarts_05_0015:
=====
ExeML
=====
- :ref:`What Is ExeML? <modelarts_05_0002>`
- :ref:`What Are Image Classification and Object Detection? <modelarts_05_0018>`
- :ref:`What Should I Do When the Train Button Is Unavailable After I Create an Image Classification Project and Label the Images? <modelarts_05_0005>`
- :ref:`Can I Add Multiple Labels to an Image for an Object Detection Project? <modelarts_05_0006>`
- :ref:`What Type of Service Is Deployed in ExeML? <modelarts_05_0008>`
- :ref:`What Formats of Images Are Supported by Object Detection or Image Classification Projects? <modelarts_05_0010>`
- :ref:`What Are the Requirements for Training Data When You Create a Predictive Analytics Project in ExeML? <modelarts_21_0062>`
- :ref:`Can I Download a Model After It Is Automatically Trained? <modelarts_21_0061>`
- :ref:`How Do I Perform Incremental Training in an ExeML Project? <modelarts_21_0060>`
.. toctree::
:maxdepth: 1
:hidden:
what_is_exeml
what_are_image_classification_and_object_detection

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umn/source/faqs/general_issues/index.rst
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:original_name: modelarts_05_0014.html
.. _modelarts_05_0014:
==============
General Issues
==============
- :ref:`What Is ModelArts? <modelarts_05_0001>`
- :ref:`What Are the Relationships Between ModelArts and Other Services <modelarts_05_0003>`
- :ref:`How Do I Obtain Access Keys? <modelarts_05_0004>`
- :ref:`How Do I Upload Data to OBS? <modelarts_05_0013>`
- :ref:`Which AI Frameworks Does ModelArts Support? <modelarts_05_0128>`
- :ref:`How Do I Use ModelArts to Train Models Based on Structured Data? <modelarts_21_0055>`
- :ref:`Why Cannot I Find the OBS Bucket on ModelArts After Uploading Data to OBS? <modelarts_21_0056>`
- :ref:`Does ModelArts Support Multiple Projects? <modelarts_21_0057>`
- :ref:`How Do I View All Files in an OBS Directory on ModelArts? <modelarts_21_0058>`
- :ref:`Does ModelArts Support Encrypted Files Stored in OBS? <modelarts_21_0059>`
.. toctree::
:maxdepth: 1
:hidden:
what_is_modelarts
what_are_the_relationships_between_modelarts_and_other_services

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umn/source/faqs/index.rst
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:original_name: modelarts_05_0000.html
.. _modelarts_05_0000:
====
FAQs
====
- :ref:`General Issues <modelarts_05_0014>`
- :ref:`ExeML <modelarts_05_0015>`
- :ref:`Data Management <modelarts_05_0101>`
- :ref:`Notebook <modelarts_05_0067>`
- :ref:`Training Jobs <modelarts_05_0030>`
- :ref:`Model Management <modelarts_05_0016>`
- :ref:`Service Deployment <modelarts_05_0017>`
.. toctree::
:maxdepth: 1
:hidden:
general_issues/index
exeml/index

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umn/source/faqs/model_management/index.rst
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:original_name: modelarts_05_0016.html
.. _modelarts_05_0016:
================
Model Management
================
- :ref:`How Do I Import the .h5 Model of Keras to ModelArts? <modelarts_21_0086>`
- :ref:`How Do I Import a Model Downloaded from OBS to ModelArts? <modelarts_05_0124>`
.. toctree::
:maxdepth: 1
:hidden:
how_do_i_import_the_.h5_model_of_keras_to_modelarts
how_do_i_import_a_model_downloaded_from_obs_to_modelarts

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umn/source/faqs/notebook/index.rst
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:original_name: modelarts_05_0067.html
.. _modelarts_05_0067:
========
Notebook
========
- :ref:`How Do I Enable the Terminal Function in DevEnviron of ModelArts? <modelarts_05_0071>`
- :ref:`How Do I Install External Libraries in a Notebook Instance? <modelarts_21_0064>`
- :ref:`Is the Keras Engine Supported? <modelarts_21_0065>`
- :ref:`How Do I Use Training Code in Training Jobs After Debugging the Code in a Notebook Instance? <modelarts_21_0066>`
- :ref:`What Should I Do When the System Displays an Error Message Indicating that No Space Left After I Run the pip install Command? <modelarts_21_0067>`
- :ref:`How Do I Upload Local Files to a Notebook Instance? <modelarts_21_0068>`
- :ref:`Where Will the Data Be Uploaded to? <modelarts_05_0045>`
- :ref:`Should I Access the Python Environment Same as the Notebook Kernel of the Current Instance in the Terminal? <modelarts_21_0069>`
- :ref:`What Do I Do If a Notebook Instance Fails to Execute Code? <modelarts_21_0070>`
- :ref:`Does ModelArts DevEnviron Support apt-get? <modelarts_21_0071>`
- :ref:`Do Files in /cache Still Exist After a Notebook Instance is Stopped or Restarted? How Do I Avoid a Restart? <modelarts_05_0080>`
- :ref:`Where Is Data Stored After the Sync OBS Function Is Used? <modelarts_05_0081>`
- :ref:`How Do I View GPU Usage on the Notebook? <modelarts_21_0072>`
- :ref:`What Python Development Environments Does Notebook Support? <modelarts_21_0073>`
- :ref:`Does ModelArts Support the Caffe Engine? <modelarts_21_0074>`
- :ref:`Is sudo Privilege Escalation Supported? <modelarts_21_0075>`
.. toctree::
:maxdepth: 1
:hidden:
how_do_i_enable_the_terminal_function_in_devenviron_of_modelarts
how_do_i_install_external_libraries_in_a_notebook_instance

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umn/source/faqs/service_deployment/index.rst
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:original_name: modelarts_05_0017.html
.. _modelarts_05_0017:
==================
Service Deployment
==================
- :ref:`What Types of Services Can Models Be Deployed as on ModelArts? <modelarts_05_0012>`
- :ref:`What Should I Do If a Conflict Occurs When Deploying a Model As a Real-Time Service? <modelarts_05_0100>`
.. toctree::
:maxdepth: 1
:hidden:
what_types_of_services_can_models_be_deployed_as_on_modelarts
what_should_i_do_if_a_conflict_occurs_when_deploying_a_model_as_a_real-time_service

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umn/source/faqs/training_jobs/index.rst
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:original_name: modelarts_05_0030.html
.. _modelarts_05_0030:
=============
Training Jobs
=============
- :ref:`What Can I Do If the Message "Object directory size/quantity exceeds the limit" Is Displayed When I Create a Training Job? <modelarts_05_0031>`
- :ref:`What Can I Do If "No such file or directory" Is Displayed In the Training Job Log? <modelarts_05_0032>`
- :ref:`How Do I Create a Training Job When a Dependency Package Is Referenced in a Model? <modelarts_05_0063>`
- :ref:`What Should I Know When Setting Training Parameters? <modelarts_21_0077>`
- :ref:`How Do I Check Resource Usage of a Training Job? <modelarts_21_0078>`
- :ref:`What Are Sizes of the /cache Directories for Different Resource Specifications in the Training Environment? <modelarts_05_0090>`
- :ref:`How Do I Check Whether Folder Copy Is Complete During Job Training? <modelarts_21_0079>`
- :ref:`How Do I Obtain Training Job Parameters from the Boot File of the Training Job? <modelarts_21_0080>`
- :ref:`How Do I Access the Background of a Training Job? <modelarts_21_0081>`
- :ref:`Is There Any Conflict When Models of Two Training Jobs Are Saved in the Same Directory of a Container? <modelarts_21_0082>`
- :ref:`Only Three Valid Digits Are Retained in a Training Output Log. Can the Value of loss Be Changed? <modelarts_21_0083>`
- :ref:`Why Can't I Use os.system ('cd xxx') to Access the Corresponding Folder During Job Training? <modelarts_21_0084>`
- :ref:`How Do I Invoke a Shell Script in a Training Job to Execute the .sh File? <modelarts_21_0085>`
.. toctree::
:maxdepth: 1
:hidden:
what_can_i_do_if_the_message_object_directory_size_quantity_exceeds_the_limit_is_displayed_when_i_create_a_training_job
what_can_i_do_if_no_such_file_or_directory_is_displayed_in_the_training_job_log

7
umn/source/model_deployment/batch_services/index.rst
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:original_name: modelarts_23_0065.html
.. _modelarts_23_0065:
==============
Batch Services
==============
- :ref:`Deploying a Model as a Batch Service <modelarts_23_0066>`
- :ref:`Viewing the Batch Service Prediction Result <modelarts_23_0067>`
.. toctree::
:maxdepth: 1
:hidden:
deploying_a_model_as_a_batch_service
viewing_the_batch_service_prediction_result

11
umn/source/model_deployment/index.rst
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:original_name: modelarts_23_0057.html
.. _modelarts_23_0057:
================
Model Deployment
================
- :ref:`Introduction to Model Deployment <modelarts_23_0058>`
- :ref:`Real-Time Services <modelarts_23_0059>`
- :ref:`Batch Services <modelarts_23_0065>`
- :ref:`Modifying a Service <modelarts_23_0071>`
- :ref:`Starting or Stopping a Service <modelarts_23_0072>`
- :ref:`Deleting a Service <modelarts_23_0073>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_model_deployment
real-time_services/index

9
umn/source/model_deployment/real-time_services/index.rst
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:original_name: modelarts_23_0059.html
.. _modelarts_23_0059:
==================
Real-Time Services
==================
- :ref:`Deploying a Model as a Real-Time Service <modelarts_23_0060>`
- :ref:`Viewing Service Details <modelarts_23_0061>`
- :ref:`Testing a Service <modelarts_23_0062>`
- :ref:`Accessing a Real-Time Service (Token-based Authentication) <modelarts_23_0063>`
.. toctree::
:maxdepth: 1
:hidden:
deploying_a_model_as_a_real-time_service
viewing_service_details

9
umn/source/model_management/importing_a_model/index.rst
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:original_name: modelarts_23_0204.html
.. _modelarts_23_0204:
=================
Importing a Model
=================
- :ref:`Importing a Meta Model from a Training Job <modelarts_23_0054>`
- :ref:`Importing a Meta Model from a Template <modelarts_23_0205>`
- :ref:`Importing a Meta Model from a Container Image <modelarts_23_0206>`
- :ref:`Importing a Meta Model from OBS <modelarts_23_0207>`
.. toctree::
:maxdepth: 1
:hidden:
importing_a_meta_model_from_a_training_job
importing_a_meta_model_from_a_template

9
umn/source/model_management/index.rst
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:original_name: modelarts_23_0051.html
.. _modelarts_23_0051:
================
Model Management
================
- :ref:`Introduction to Model Management <modelarts_23_0052>`
- :ref:`Importing a Model <modelarts_23_0204>`
- :ref:`Managing Model Versions <modelarts_23_0055>`
- :ref:`Model Compression and Conversion <modelarts_23_0106>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_model_management
importing_a_model/index

9
umn/source/model_management/model_compression_and_conversion/index.rst
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:original_name: modelarts_23_0106.html
.. _modelarts_23_0106:
================================
Model Compression and Conversion
================================
- :ref:`Compressing and Converting Models <modelarts_23_0107>`
- :ref:`Model Input Path Specifications <modelarts_23_0108>`
- :ref:`Model Output Path Description <modelarts_23_0109>`
- :ref:`Conversion Templates <modelarts_23_0110>`
.. toctree::
:maxdepth: 1
:hidden:
compressing_and_converting_models
model_input_path_specifications

8
umn/source/model_package_specifications/index.rst
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:original_name: modelarts_23_0090.html
.. _modelarts_23_0090:
============================
Model Package Specifications
============================
- :ref:`Model Package Specifications <modelarts_23_0091>`
- :ref:`Specifications for Compiling the Model Configuration File <modelarts_23_0092>`
- :ref:`Specifications for Compiling Model Inference Code <modelarts_23_0093>`
.. toctree::
:maxdepth: 1
:hidden:
model_package_specifications
specifications_for_compiling_the_model_configuration_file

8
umn/source/model_templates/index.rst
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:original_name: modelarts_23_0097.html
.. _modelarts_23_0097:
===============
Model Templates
===============
- :ref:`Introduction to Model Templates <modelarts_23_0098>`
- :ref:`Template Description <modelarts_23_0118>`
- :ref:`Input and Output Modes <modelarts_23_0099>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_model_templates
template_description/index

9
umn/source/model_templates/input_and_output_modes/index.rst
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:original_name: modelarts_23_0099.html
.. _modelarts_23_0099:
======================
Input and Output Modes
======================
- :ref:`Built-in Object Detection Mode <modelarts_23_0100>`
- :ref:`Built-in Image Processing Mode <modelarts_23_0101>`
- :ref:`Built-in Predictive Analytics Mode <modelarts_23_0102>`
- :ref:`Undefined Mode <modelarts_23_0103>`
.. toctree::
:maxdepth: 1
:hidden:
built-in_object_detection_mode
built-in_image_processing_mode

15
umn/source/model_templates/template_description/index.rst
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:original_name: modelarts_23_0118.html
.. _modelarts_23_0118:
====================
Template Description
====================
- :ref:`TensorFlow-py27 General Template <modelarts_23_0161>`
- :ref:`TensorFlow-py36 General Template <modelarts_23_0162>`
- :ref:`MXNet-py27 General Template <modelarts_23_0163>`
- :ref:`MXNet-py37 General Template <modelarts_23_0164>`
- :ref:`PyTorch-py27 General Template <modelarts_23_0165>`
- :ref:`PyTorch-py37 General Template <modelarts_23_0166>`
- :ref:`Caffe-CPU-py27 General Template <modelarts_23_0167>`
- :ref:`Caffe-GPU-py27 General Template <modelarts_23_0168>`
- :ref:`Caffe-CPU-py37 General Template <modelarts_23_0169>`
- :ref:`Caffe-GPU-py37 General Template <modelarts_23_0170>`
.. toctree::
:maxdepth: 1
:hidden:
tensorflow-py27_general_template
tensorflow-py36_general_template

8
umn/source/monitoring/index.rst
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:original_name: modelarts_23_0186.html
.. _modelarts_23_0186:
==========
Monitoring
==========
- :ref:`ModelArts Metrics <modelarts_23_0187>`
- :ref:`Setting Alarm Rules <modelarts_23_0188>`
- :ref:`Viewing Monitoring Metrics <modelarts_23_0189>`
.. toctree::
:maxdepth: 1
:hidden:
modelarts_metrics
setting_alarm_rules

8
umn/source/permissions_management/index.rst
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:original_name: modelarts_23_0077.html
.. _modelarts_23_0077:
======================
Permissions Management
======================
- :ref:`Basic Concepts <modelarts_23_0078>`
- :ref:`Creating a User and Granting Permissions <modelarts_23_0079>`
- :ref:`Creating a Custom Policy <modelarts_23_0080>`
.. toctree::
:maxdepth: 1
:hidden:
basic_concepts
creating_a_user_and_granting_permissions

8
umn/source/preparations/configuring_access_authorization_global_configuration/index.rst
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:original_name: modelarts_08_0006.html
.. _modelarts_08_0006:
=======================================================
Configuring Access Authorization (Global Configuration)
=======================================================
- :ref:`Overview <modelarts_08_0005>`
- :ref:`Configuring Agency Authorization (Recommended) <modelarts_08_0007>`
- :ref:`Configuring Access Key Authorization <modelarts_08_0002>`
.. toctree::
:maxdepth: 1
:hidden:
overview
configuring_agency_authorization_recommended

7
umn/source/preparations/index.rst
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:original_name: modelarts_08_0000.html
.. _modelarts_08_0000:
============
Preparations
============
- :ref:`Configuring Access Authorization (Global Configuration) <modelarts_08_0006>`
- :ref:`Creating an OBS Bucket <modelarts_08_0003>`
.. toctree::
:maxdepth: 1
:hidden:
configuring_access_authorization_global_configuration/index
creating_an_obs_bucket

6
umn/source/quick_start/index.rst
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:original_name: modelarts_21_0037.html
.. _modelarts_21_0037:
===========
Quick Start
===========
- :ref:`Using TensorFlow for Handwritten Digit Recognition <modelarts_21_0038>`
.. toctree::
:maxdepth: 1
:hidden:
using_tensorflow_for_handwritten_digit_recognition

13
umn/source/service_overview/basic_knowledge/index.rst
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:original_name: modelarts_01_0009.html
.. _modelarts_01_0009:
===============
Basic Knowledge
===============
- :ref:`Introduction to the AI Development Lifecycle <modelarts_01_0010>`
- :ref:`Basic Concepts of AI Development <modelarts_01_0011>`
- :ref:`Common Concepts of ModelArts <modelarts_01_0005>`
- :ref:`Data Management <modelarts_01_0012>`
- :ref:`DevEnviron <modelarts_01_0013>`
- :ref:`Model Training <modelarts_01_0014>`
- :ref:`Model Deployment <modelarts_01_0015>`
- :ref:`ExeML <modelarts_01_0016>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_the_ai_development_lifecycle
basic_concepts_of_ai_development

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umn/source/service_overview/index.rst
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:original_name: modelarts_01_0000.html
.. _modelarts_01_0000:
================
Service Overview
================
- :ref:`What Is ModelArts? <modelarts_01_0001>`
- :ref:`Functions <modelarts_01_0003>`
- :ref:`Basic Knowledge <modelarts_01_0009>`
- :ref:`Related Services <modelarts_01_0006>`
- :ref:`How Do I Access ModelArts <modelarts_21_0035>`
- :ref:`Permissions Management <modelarts_01_0017>`
.. toctree::
:maxdepth: 1
:hidden:
what_is_modelarts
functions

8
umn/source/training_management/built-in_algorithms/index.rst
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:original_name: modelarts_23_0156.html
.. _modelarts_23_0156:
===================
Built-in Algorithms
===================
- :ref:`Introduction to Built-in Algorithms <modelarts_23_0045>`
- :ref:`Requirements on Datasets <modelarts_23_0157>`
- :ref:`Algorithms and Their Running Parameters <modelarts_23_0158>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_built-in_algorithms
requirements_on_datasets

9
umn/source/training_management/creating_a_training_job/index.rst
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:original_name: modelarts_23_0235.html
.. _modelarts_23_0235:
=======================
Creating a Training Job
=======================
- :ref:`Introduction to Training Jobs <modelarts_23_0046>`
- :ref:`Using Built-in Algorithms to Train Models <modelarts_23_0237>`
- :ref:`Using Frequently-used Frameworks to Train Models <modelarts_23_0238>`
- :ref:`Using Custom Images to Train Models <modelarts_23_0239>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_training_jobs
using_built-in_algorithms_to_train_models

13
umn/source/training_management/index.rst
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:original_name: modelarts_23_0043.html
.. _modelarts_23_0043:
===================
Training Management
===================
- :ref:`Introduction to Model Training <modelarts_23_0044>`
- :ref:`Built-in Algorithms <modelarts_23_0156>`
- :ref:`Creating a Training Job <modelarts_23_0235>`
- :ref:`Stopping or Deleting a Job <modelarts_23_0159>`
- :ref:`Managing Training Job Versions <modelarts_23_0047>`
- :ref:`Viewing Job Details <modelarts_23_0048>`
- :ref:`Managing Job Parameters <modelarts_23_0049>`
- :ref:`Managing Visualization Jobs <modelarts_23_0050>`
.. toctree::
:maxdepth: 1
:hidden:
introduction_to_model_training
built-in_algorithms/index