文件列表:

Photos (0, 2020-08-23)
Photos\ABTesting_1_API Root Interfaces.png (90123, 2020-08-23)
Photos\ABTesting_2_AB Testing Page.png (82251, 2020-08-23)
Photos\ABTesting_3_AB Testing Page Filled.png (96915, 2020-08-23)
Photos\ABTesting_4_AB Testing Page Success.png (83791, 2020-08-23)
Photos\ABTesting_6_Python Code 2.png (129730, 2020-08-23)
Photos\ABTesting_6_Python Code.png (113488, 2020-08-23)
Photos\ABTesting_7_AB Testing Stop Page.png (82939, 2020-08-23)
Photos\ABTesting_8_AB Testing Result.png (43218, 2020-08-23)
Photos\ABTesting_9_ML Status Changed.png (123418, 2020-08-23)
Photos\Create ML Models.png (103130, 2020-08-23)
Photos\ML Testing.png (31839, 2020-08-23)
Photos\Predict Inputs_1_Predict Page.png (79363, 2020-08-23)
Photos\Predict Inputs_2_Predict Page Filled.png (88695, 2020-08-23)
Photos\Predict Inputs_3_Result Page.jpg (544166, 2020-08-23)
Photos\Set Up_1_Django Server Set Up.png (84714, 2020-08-23)
Photos\Set Up_2_API Root Started.png (83080, 2020-08-23)
Photos\Set Up_3_Endpoint Page.png (78057, 2020-08-23)
Photos\Set Up_4_ML List Page.png (88652, 2020-08-23)
backend (0, 2020-08-23)
backend\server (0, 2020-08-23)
backend\server\apps (0, 2020-08-23)
backend\server\apps\endpoints (0, 2020-08-23)
backend\server\apps\endpoints\__init__.py (0, 2020-08-23)
backend\server\apps\endpoints\admin.py (63, 2020-08-23)
backend\server\apps\endpoints\apps.py (93, 2020-08-23)
backend\server\apps\endpoints\migrations (0, 2020-08-23)
backend\server\apps\endpoints\migrations\0001_initial.py (2756, 2020-08-23)
backend\server\apps\endpoints\migrations\__init__.py (0, 2020-08-23)
backend\server\apps\endpoints\models.py (4086, 2020-08-23)
backend\server\apps\endpoints\serializers.py (2496, 2020-08-23)
backend\server\apps\endpoints\tests.py (60, 2020-08-23)
backend\server\apps\endpoints\urls.py (1144, 2020-08-23)
backend\server\apps\endpoints\views.py (8285, 2020-08-23)
backend\server\apps\ml (0, 2020-08-23)
backend\server\apps\ml\__init__.py (0, 2020-08-23)
backend\server\apps\ml\income_classifier (0, 2020-08-23)
... ...

# ML- Based Web App --- This is **Dockerized- ML - Based Web App** Created by Christofel Goenawan where the features are : 1. **Machine Learning Model Created in Python in the Web** 2. **REST API to Use the Machine Learning Model** 3. **Contain Vary Machine Learning Models and Its Versions** 4. **A/B Testing Features for Models Development** 5. **Containerized Application in Docker** 6. **Simple Automatic Testing for Machine Learning Model and Pages** To create this Web- App User used [Piotr Plonski's Paper](https://www.deploymachinelearning.com/#fig:2) as references. The Web App is build using **Python , Django , and Flask Programming Languages**. The Machine Learning Models contained here are: - Random Forest Classifier - XGBoost Classifier - K - Neighbors Classifier In this Project Writer used [Adult Income's Dataset](https://archive.ics.uci.edu/ml/datasets/adult) as dataset. --- ## Requirements: 1. ( Optional ) Git Platform in Local PC to Pull and Update the Codes ( for Windows's User Git Must be Installed First ) 2. Python Version 3.6 ( Don't Use Python 3.7 ) 3. Docker Engine Installed ( for Windows's User Docker Must be Installed First ) 4. Python Packages as Written in ***requirements.txt*** ## Some Notes: - The Web App Can be seen in ***Photos*** Folder. - For more information kindly reach me through : ***christofel04@gmail.com***

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：