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https://files.pythonhosted.org/packages/18/c8/9c95db9448228055864c140f20fc086dba15851c04cec3ba1055d8688661/decanter-ai-core-sdk-1.1.9.tar.gz#sha256=7c7166cdd3cc04919113a036f69a6f96a0285e62e3dfbbf342544d04e8b026d6 to build tracker '/tmp/pip-req-tracker-o07ks40j' 2022-03-07T03:06:36,857 Running setup.py (path:/tmp/pip-wheel-jbvjek1b/decanter-ai-core-sdk_d945a4f83b564fc58070724de6b97c91/setup.py) egg_info for package decanter-ai-core-sdk 2022-03-07T03:06:36,858 Created temporary directory: /tmp/pip-pip-egg-info-1bdh0sdj 2022-03-07T03:06:36,859 Preparing metadata (setup.py): started 2022-03-07T03:06:36,861 Running command python setup.py egg_info 2022-03-07T03:06:38,860 # MoBagel Decanter AI Core SDK 2022-03-07T03:06:38,861 [![PyPI version](https://badge.fury.io/py/decanter-ai-core-sdk.svg)](https://pypi.org/project/decanter-ai-core-sdk/) 2022-03-07T03:06:38,862 [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/MoBagel/decanter-ai-core-sdk) 2022-03-07T03:06:38,862 [![GitHub Super-Linter](https://github.com/MoBagel/decanter-ai-core-sdk/workflows/Lint%20Code%20Base/badge.svg)](https://github.com/marketplace/actions/super-linter) 2022-03-07T03:06:38,863 Decanter AI is a powerful AutoML tool which enables everyone to build ML models and make predictions without data science background. With Decanter AI Core SDK, you can integrate Decanter AI into your application more easily with Python. 2022-03-07T03:06:38,863 It supports actions such as data uploading, model training, and prediction to run in a more efficient way and access results more easily. You can also use Decanter AI Core SDK in Jupyter Notebook for better visualization. 2022-03-07T03:06:38,864 To know more about Decanter AI and how you can be benefited with AutoML, visit [MoBagel website](https://mobagel.com/product/) and contact us to try it out! 2022-03-07T03:06:38,865 ## System Requirement 2022-03-07T03:06:38,865 * python3.7 2022-03-07T03:06:38,866 ## Install 2022-03-07T03:06:38,866 Install and update using pip: 2022-03-07T03:06:38,867 ```bash 2022-03-07T03:06:38,867 pip install decanter-ai-core-sdk 2022-03-07T03:06:38,867 ``` 2022-03-07T03:06:38,869 ## Basic Example: Upload Data 2022-03-07T03:06:38,869 ```python 2022-03-07T03:06:38,869 from decanter import core 2022-03-07T03:06:38,870 core.enable_default_logger() 2022-03-07T03:06:38,870 client = core.CoreClient(username=???, password=???, host=???) 2022-03-07T03:06:38,871 train_file = open(train_file_path, 'rb') 2022-03-07T03:06:38,871 train_data = client.upload(file=train_file, name="train") 2022-03-07T03:06:38,872 # in jupyter notebook just run the block 2022-03-07T03:06:38,872 # no need to call context.run() 2022-03-07T03:06:38,873 client.run() 2022-03-07T03:06:38,873 train_data.show() 2022-03-07T03:06:38,874 ``` 2022-03-07T03:06:38,874 ```bash 2022-03-07T03:06:38,874 $ python -m example.file 2022-03-07T03:06:38,875 15:50:09 [ INFO] [Context] no event loop to close 2022-03-07T03:06:38,875 15:50:09 [ INFO] [Context] connect healthy :) 2022-03-07T03:06:38,875 Progress UploadTask_train: 55%|█████████████████████████████████████████ 2022-03-07T03:06:38,876 ``` 2022-03-07T03:06:38,876 ## Example Dataset Path 2022-03-07T03:06:38,877 * `examples/data/` - store the general dataset 2022-03-07T03:06:38,877 * `examples/data/ts_data` - store the time series dataset 2022-03-07T03:06:38,878 ## Example Code 2022-03-07T03:06:38,878 * General Data 2022-03-07T03:06:38,879 * Python Script: [example.py](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/example.py) 2022-03-07T03:06:38,879 * Jupyter: [jupyter_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_example.ipynb) 2022-03-07T03:06:38,879 * Time Series Data 2022-03-07T03:06:38,880 * Python Script: [auto_time_series_example.py](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/auto_time_series_example.py) 2022-03-07T03:06:38,880 Note: 2022-03-07T03:06:38,881 Since Jupyter already have an event loop (asyncio), SDK will just use the current event loop. See more in [here](https://www.notion.so/API-615d2fba4e7f45c4b5fe63cc192e481f#bb4f0a4b2847450abc4f80b025469170). 2022-03-07T03:06:38,881 More details about asyncio in [learn asyncio](https://docs.python.org/3/library/asyncio.html) 2022-03-07T03:06:38,881 ```python 2022-03-07T03:06:38,882 import asyncio 2022-03-07T03:06:38,882 loop = asyncio.get_running_loop() 2022-03-07T03:06:38,882 loop.is_running() 2022-03-07T03:06:38,883 ``` 2022-03-07T03:06:38,883 ## Tutorial for Jupyter Notebook 2022-03-07T03:06:38,884 1. first you need to install jupyter lab: `pip install jupyterlab` 2022-03-07T03:06:38,884 2. this is required for progress bar to display correctly: `pip install ipywidgets` 2022-03-07T03:06:38,884 3. (optional, conda venv for jupyter notebook) `conda install nb_conda` 2022-03-07T03:06:38,884 4. `jupyter lab` 2022-03-07T03:06:38,885 * this should open your browser to jupyter lab page. 2022-03-07T03:06:38,885 * If you want to learn how to build ML models with Decanter AI, visit our [jupyter_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_example.ipynb) for step by step tutorial. 2022-03-07T03:06:38,885 * If you need to handle running tasks well, refer to our [jupyter_jobs_handle_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_jobs_handle_example.ipynb). 2022-03-07T03:06:38,886 ## Development Guide and Flow 2022-03-07T03:06:38,887 * If you are curious about why Decanter AI Core SDK does certain things the way it does and not differently, visit our [Development Guide](https://mobagel.github.io/decanter-ai-core-sdk/notes/design.html) 2022-03-07T03:06:38,888 ## Documentation 2022-03-07T03:06:38,888 To understand how we design Decanter AI Core SDK, `doc/` contains the complete documentation, including the design system, the use of each API, and the required dependencies to install. Refer to our [document page](https://mobagel.github.io/decanter-ai-core-sdk/index.html) to navigate the complete information. 2022-03-07T03:06:38,889 ## Contributing 2022-03-07T03:06:38,889 For guidance on setting up a development environment and how to make a contribution to Decanter AI Core SDK, see the [contributing guidelines](https://mobagel.github.io/decanter-ai-core-sdk/notes/contributing.html). 2022-03-07T03:06:38,890 ## Links 2022-03-07T03:06:38,890 For more details on design, guidance on setting up a development environment, and SDK usage. 2022-03-07T03:06:38,891 * Decanter AI Introduction: 2022-03-07T03:06:38,891 * Decanter AI SDK Introduction: 2022-03-07T03:06:38,892 * Code: 2022-03-07T03:06:38,892 * Installation: 2022-03-07T03:06:38,892 * API interface: 2022-03-07T03:06:38,893 running egg_info 2022-03-07T03:06:38,893 creating /tmp/pip-pip-egg-info-1bdh0sdj/decanter_ai_core_sdk.egg-info 2022-03-07T03:06:38,894 writing manifest file '/tmp/pip-pip-egg-info-1bdh0sdj/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2022-03-07T03:06:38,918 writing manifest file '/tmp/pip-pip-egg-info-1bdh0sdj/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2022-03-07T03:06:39,045 Preparing metadata (setup.py): finished with status 'done' 2022-03-07T03:06:39,056 Source in /tmp/pip-wheel-jbvjek1b/decanter-ai-core-sdk_d945a4f83b564fc58070724de6b97c91 has version 1.1.9, which satisfies requirement decanter-ai-core-sdk==1.1.9 from https://files.pythonhosted.org/packages/18/c8/9c95db9448228055864c140f20fc086dba15851c04cec3ba1055d8688661/decanter-ai-core-sdk-1.1.9.tar.gz#sha256=7c7166cdd3cc04919113a036f69a6f96a0285e62e3dfbbf342544d04e8b026d6 2022-03-07T03:06:39,058 Removed decanter-ai-core-sdk==1.1.9 from https://files.pythonhosted.org/packages/18/c8/9c95db9448228055864c140f20fc086dba15851c04cec3ba1055d8688661/decanter-ai-core-sdk-1.1.9.tar.gz#sha256=7c7166cdd3cc04919113a036f69a6f96a0285e62e3dfbbf342544d04e8b026d6 from build tracker '/tmp/pip-req-tracker-o07ks40j' 2022-03-07T03:06:39,073 Created temporary directory: /tmp/pip-unpack-h_v5iydn 2022-03-07T03:06:39,074 Building wheels for collected packages: decanter-ai-core-sdk 2022-03-07T03:06:39,082 Created temporary directory: /tmp/pip-wheel-3gyyvef4 2022-03-07T03:06:39,083 Building wheel for decanter-ai-core-sdk (setup.py): started 2022-03-07T03:06:39,085 Destination directory: /tmp/pip-wheel-3gyyvef4 2022-03-07T03:06:39,085 Running command python setup.py bdist_wheel 2022-03-07T03:06:40,536 # MoBagel Decanter AI Core SDK 2022-03-07T03:06:40,538 [![PyPI version](https://badge.fury.io/py/decanter-ai-core-sdk.svg)](https://pypi.org/project/decanter-ai-core-sdk/) 2022-03-07T03:06:40,538 [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/MoBagel/decanter-ai-core-sdk) 2022-03-07T03:06:40,539 [![GitHub Super-Linter](https://github.com/MoBagel/decanter-ai-core-sdk/workflows/Lint%20Code%20Base/badge.svg)](https://github.com/marketplace/actions/super-linter) 2022-03-07T03:06:40,539 Decanter AI is a powerful AutoML tool which enables everyone to build ML models and make predictions without data science background. With Decanter AI Core SDK, you can integrate Decanter AI into your application more easily with Python. 2022-03-07T03:06:40,540 It supports actions such as data uploading, model training, and prediction to run in a more efficient way and access results more easily. You can also use Decanter AI Core SDK in Jupyter Notebook for better visualization. 2022-03-07T03:06:40,541 To know more about Decanter AI and how you can be benefited with AutoML, visit [MoBagel website](https://mobagel.com/product/) and contact us to try it out! 2022-03-07T03:06:40,541 ## System Requirement 2022-03-07T03:06:40,542 * python3.7 2022-03-07T03:06:40,543 ## Install 2022-03-07T03:06:40,543 Install and update using pip: 2022-03-07T03:06:40,543 ```bash 2022-03-07T03:06:40,544 pip install decanter-ai-core-sdk 2022-03-07T03:06:40,544 ``` 2022-03-07T03:06:40,545 ## Basic Example: Upload Data 2022-03-07T03:06:40,545 ```python 2022-03-07T03:06:40,545 from decanter import core 2022-03-07T03:06:40,546 core.enable_default_logger() 2022-03-07T03:06:40,546 client = core.CoreClient(username=???, password=???, host=???) 2022-03-07T03:06:40,547 train_file = open(train_file_path, 'rb') 2022-03-07T03:06:40,547 train_data = client.upload(file=train_file, name="train") 2022-03-07T03:06:40,548 # in jupyter notebook just run the block 2022-03-07T03:06:40,548 # no need to call context.run() 2022-03-07T03:06:40,549 client.run() 2022-03-07T03:06:40,549 train_data.show() 2022-03-07T03:06:40,550 ``` 2022-03-07T03:06:40,550 ```bash 2022-03-07T03:06:40,550 $ python -m example.file 2022-03-07T03:06:40,551 15:50:09 [ INFO] [Context] no event loop to close 2022-03-07T03:06:40,551 15:50:09 [ INFO] [Context] connect healthy :) 2022-03-07T03:06:40,551 Progress UploadTask_train: 55%|█████████████████████████████████████████ 2022-03-07T03:06:40,552 ``` 2022-03-07T03:06:40,552 ## Example Dataset Path 2022-03-07T03:06:40,552 * `examples/data/` - store the general dataset 2022-03-07T03:06:40,553 * `examples/data/ts_data` - store the time series dataset 2022-03-07T03:06:40,554 ## Example Code 2022-03-07T03:06:40,554 * General Data 2022-03-07T03:06:40,554 * Python Script: [example.py](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/example.py) 2022-03-07T03:06:40,555 * Jupyter: [jupyter_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_example.ipynb) 2022-03-07T03:06:40,555 * Time Series Data 2022-03-07T03:06:40,555 * Python Script: [auto_time_series_example.py](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/auto_time_series_example.py) 2022-03-07T03:06:40,556 Note: 2022-03-07T03:06:40,556 Since Jupyter already have an event loop (asyncio), SDK will just use the current event loop. See more in [here](https://www.notion.so/API-615d2fba4e7f45c4b5fe63cc192e481f#bb4f0a4b2847450abc4f80b025469170). 2022-03-07T03:06:40,556 More details about asyncio in [learn asyncio](https://docs.python.org/3/library/asyncio.html) 2022-03-07T03:06:40,557 ```python 2022-03-07T03:06:40,557 import asyncio 2022-03-07T03:06:40,558 loop = asyncio.get_running_loop() 2022-03-07T03:06:40,558 loop.is_running() 2022-03-07T03:06:40,558 ``` 2022-03-07T03:06:40,559 ## Tutorial for Jupyter Notebook 2022-03-07T03:06:40,559 1. first you need to install jupyter lab: `pip install jupyterlab` 2022-03-07T03:06:40,559 2. this is required for progress bar to display correctly: `pip install ipywidgets` 2022-03-07T03:06:40,560 3. (optional, conda venv for jupyter notebook) `conda install nb_conda` 2022-03-07T03:06:40,560 4. `jupyter lab` 2022-03-07T03:06:40,560 * this should open your browser to jupyter lab page. 2022-03-07T03:06:40,561 * If you want to learn how to build ML models with Decanter AI, visit our [jupyter_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_example.ipynb) for step by step tutorial. 2022-03-07T03:06:40,561 * If you need to handle running tasks well, refer to our [jupyter_jobs_handle_example.ipynb](https://github.com/MoBagel/decanter-ai-core-sdk/blob/master/examples/jupyter_jobs_handle_example.ipynb). 2022-03-07T03:06:40,562 ## Development Guide and Flow 2022-03-07T03:06:40,562 * If you are curious about why Decanter AI Core SDK does certain things the way it does and not differently, visit our [Development Guide](https://mobagel.github.io/decanter-ai-core-sdk/notes/design.html) 2022-03-07T03:06:40,563 ## Documentation 2022-03-07T03:06:40,563 To understand how we design Decanter AI Core SDK, `doc/` contains the complete documentation, including the design system, the use of each API, and the required dependencies to install. Refer to our [document page](https://mobagel.github.io/decanter-ai-core-sdk/index.html) to navigate the complete information. 2022-03-07T03:06:40,564 ## Contributing 2022-03-07T03:06:40,565 For guidance on setting up a development environment and how to make a contribution to Decanter AI Core SDK, see the [contributing guidelines](https://mobagel.github.io/decanter-ai-core-sdk/notes/contributing.html). 2022-03-07T03:06:40,566 ## Links 2022-03-07T03:06:40,566 For more details on design, guidance on setting up a development environment, and SDK usage. 2022-03-07T03:06:40,567 * Decanter AI Introduction: 2022-03-07T03:06:40,567 * Decanter AI SDK Introduction: 2022-03-07T03:06:40,567 * Code: 2022-03-07T03:06:40,567 * Installation: 2022-03-07T03:06:40,568 * API interface: 2022-03-07T03:06:41,080 running bdist_wheel 2022-03-07T03:06:41,089 running build 2022-03-07T03:06:41,089 running build_py 2022-03-07T03:06:41,099 creating build 2022-03-07T03:06:41,099 creating build/lib 2022-03-07T03:06:41,100 creating build/lib/decanter 2022-03-07T03:06:41,103 copying src/decanter/__init__.py -> build/lib/decanter 2022-03-07T03:06:41,107 creating build/lib/decanter/core 2022-03-07T03:06:41,109 copying src/decanter/core/client.py -> build/lib/decanter/core 2022-03-07T03:06:41,113 copying src/decanter/core/context.py -> build/lib/decanter/core 2022-03-07T03:06:41,117 copying src/decanter/core/__init__.py -> build/lib/decanter/core 2022-03-07T03:06:41,121 copying src/decanter/core/plot.py -> build/lib/decanter/core 2022-03-07T03:06:41,126 creating build/lib/decanter/core/enums 2022-03-07T03:06:41,127 copying src/decanter/core/enums/time_units.py -> build/lib/decanter/core/enums 2022-03-07T03:06:41,131 copying src/decanter/core/enums/__init__.py -> build/lib/decanter/core/enums 2022-03-07T03:06:41,134 copying src/decanter/core/enums/evaluators.py -> build/lib/decanter/core/enums 2022-03-07T03:06:41,137 copying src/decanter/core/enums/numerical_group_by_methods.py -> build/lib/decanter/core/enums 2022-03-07T03:06:41,140 copying src/decanter/core/enums/algorithms.py -> build/lib/decanter/core/enums 2022-03-07T03:06:41,144 copying src/decanter/core/enums/categorical_group_by_method.py -> build/lib/decanter/core/enums 2022-03-07T03:06:41,148 creating build/lib/decanter/core/extra 2022-03-07T03:06:41,150 copying src/decanter/core/extra/const.py -> build/lib/decanter/core/extra 2022-03-07T03:06:41,153 copying src/decanter/core/extra/__init__.py -> build/lib/decanter/core/extra 2022-03-07T03:06:41,156 copying src/decanter/core/extra/utils.py -> build/lib/decanter/core/extra 2022-03-07T03:06:41,159 copying src/decanter/core/extra/decorators.py -> build/lib/decanter/core/extra 2022-03-07T03:06:41,164 creating build/lib/decanter/core/jobs 2022-03-07T03:06:41,165 copying src/decanter/core/jobs/task.py -> build/lib/decanter/core/jobs 2022-03-07T03:06:41,170 copying src/decanter/core/jobs/experiment.py -> build/lib/decanter/core/jobs 2022-03-07T03:06:41,174 copying src/decanter/core/jobs/__init__.py -> build/lib/decanter/core/jobs 2022-03-07T03:06:41,178 copying src/decanter/core/jobs/job.py -> build/lib/decanter/core/jobs 2022-03-07T03:06:41,181 copying src/decanter/core/jobs/data_setup.py -> build/lib/decanter/core/jobs 2022-03-07T03:06:41,185 copying src/decanter/core/jobs/data_upload.py -> build/lib/decanter/core/jobs 2022-03-07T03:06:41,189 copying src/decanter/core/jobs/predict_result.py -> build/lib/decanter/core/jobs 2022-03-07T03:06:41,194 creating build/lib/decanter/core/core_api 2022-03-07T03:06:41,195 copying src/decanter/core/core_api/body_obj.py -> build/lib/decanter/core/core_api 2022-03-07T03:06:41,200 copying src/decanter/core/core_api/setup_input.py -> build/lib/decanter/core/core_api 2022-03-07T03:06:41,203 copying src/decanter/core/core_api/worker.py -> build/lib/decanter/core/core_api 2022-03-07T03:06:41,206 copying src/decanter/core/core_api/api.py -> build/lib/decanter/core/core_api 2022-03-07T03:06:41,210 copying src/decanter/core/core_api/__init__.py -> build/lib/decanter/core/core_api 2022-03-07T03:06:41,213 copying src/decanter/core/core_api/predict_input.py -> build/lib/decanter/core/core_api 2022-03-07T03:06:41,216 copying src/decanter/core/core_api/train_input.py -> build/lib/decanter/core/core_api 2022-03-07T03:06:41,220 copying src/decanter/core/core_api/model.py -> build/lib/decanter/core/core_api 2022-03-07T03:06:41,242 /usr/local/lib/python3.7/dist-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-03-07T03:06:41,242 setuptools.SetuptoolsDeprecationWarning, 2022-03-07T03:06:41,246 running install 2022-03-07T03:06:41,309 running install_lib 2022-03-07T03:06:41,316 creating build/bdist.linux-armv7l 2022-03-07T03:06:41,317 creating build/bdist.linux-armv7l/wheel 2022-03-07T03:06:41,320 creating build/bdist.linux-armv7l/wheel/decanter 2022-03-07T03:06:41,323 creating build/bdist.linux-armv7l/wheel/decanter/core 2022-03-07T03:06:41,331 creating build/bdist.linux-armv7l/wheel/decanter/core/enums 2022-03-07T03:06:41,357 creating build/bdist.linux-armv7l/wheel/decanter/core/extra 2022-03-07T03:06:41,376 creating build/bdist.linux-armv7l/wheel/decanter/core/jobs 2022-03-07T03:06:41,405 creating build/bdist.linux-armv7l/wheel/decanter/core/core_api 2022-03-07T03:06:41,441 running install_egg_info 2022-03-07T03:06:41,482 running egg_info 2022-03-07T03:06:41,540 writing manifest file 'src/decanter_ai_core_sdk.egg-info/SOURCES.txt' 2022-03-07T03:06:41,543 Copying src/decanter_ai_core_sdk.egg-info to build/bdist.linux-armv7l/wheel/decanter_ai_core_sdk-1.1.9-py3.7.egg-info 2022-03-07T03:06:41,562 running install_scripts 2022-03-07T03:06:42,025 Building wheel for decanter-ai-core-sdk (setup.py): finished with status 'done' 2022-03-07T03:06:42,034 Created wheel for decanter-ai-core-sdk: filename=decanter_ai_core_sdk-1.1.9-py3-none-any.whl size=41044 sha256=2999c6d9f6223b81437133618b2e7fab7ecd080a02d75ae89710572ac2191a42 2022-03-07T03:06:42,036 Stored in directory: /tmp/pip-ephem-wheel-cache-lirroz6k/wheels/28/7f/92/7393fd327f0a07ab3fc1dd8fbd8dc98d1d831f4466b56cf4b2 2022-03-07T03:06:42,062 Successfully built decanter-ai-core-sdk 2022-03-07T03:06:42,074 Removed build tracker: '/tmp/pip-req-tracker-o07ks40j'