https://github.com/oracle-samples/heatwave-ml
https://github.com/oracle-samples/heatwave-ml
Last synced: 8 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/oracle-samples/heatwave-ml
- Owner: oracle-samples
- License: upl-1.0
- Created: 2022-02-08T18:22:56.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-07-19T23:14:27.000Z (over 2 years ago)
- Last Synced: 2023-07-20T00:25:55.641Z (over 2 years ago)
- Language: Python
- Size: 57.6 KB
- Stars: 21
- Watchers: 6
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
- Security: SECURITY.md
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README
# HeatWave AutoML examples and performance benchmarks
[HeatWave](https://www.oracle.com/heatwave/) is an integrated, massively parallel, high-performance, in-memory query accelerator for MySQL Database Service that accelerates performance of MySQL by orders of magnitude for analytics and mixed workloads. It is the only service that enables you to run OLTP and OLAP workloads simultaneously and directly from your MySQL database, without any changes to your applications. This eliminates the need for complex, time-consuming, and expensive data movement and integration with a separate analytics database. Your applications connect to the HeatWave cluster through standard MySQL protocols.
HeatWave users currently do not have an easy way of creating machine-learning models for their data in the database, or generating predictions and explanations for it. Such users, while being database experts, frequently are relatively new to Machine Learning and can benefit from products that streamline the creation and usage of machine learning models. HeatWave AutoML is the product that addresses this need.
## Required Services:
1. [Oracle Cloud Infrastructure][3]
2. [MySQL Database Service][4] and [HeatWave][5]
## Getting started
1. Provision MySQL Database Service instance and add a HeatWave cluster.
2. Clone this repository and change directories
```
git clone https://github.com/oracle-samples/heatwave-ml.git
```
3. Create a Python virtual environment and activate it as follows
```
python3.8 -m venv py_heatwaveml
source py_heatwaveml/bin/activate
```
3. Install the necessary Python packages
```
pip install pandas numpy unlzw3 scikit-learn pyreadr --user
```
## Python Notebooks
To help customers get started with Heatwave ML and showcase its capabilities, we have prepared a set of Jupyter notebooks. Each notebook focuses on a simple application of Heatwave ML components in practice and walks you through a solution. Here is the list of existing notebooks and a screenshot of the rendered HTML.
Description
Link
Training a model to predict whether a bank customer will subscribe to a term deposit
Bank marketing
Training a model to predict the price of a diamond
Diamonds
## SQL examples
SQL Code to run training, predictions and scoring on a variety of common Machine Learning classification and regression datasets.
Example
Description
#Rows (Training Set)
#Features
airlines
Predict Flight Delays
377568
8
bank_marketing
Direct marketing – Banking Products
31648
17
cnae-9
Documents with free text business descriptions of Brazilian companies
757
857
connect-4
8-ply positions in the game of connect-4 in which neither player has won yet – predict win/loss
47290
161
fashion_mnist
Clothing classification problem
60000
785
nomao
Active learning is used to efficiently detect data that refer to a same place based on Nomao browser
24126
119
numerai
Data is cleaned, regularized and encrypted global equity data
67425
22
higgs
Monte Carlo Simulations
10500000
29
census
Determine if a person makes > $50k
32561
15
titanic
Survival Status of individuals
917
14
creditcard
Identify fraudulent transactions
199364
30
appetency
Predict the propensity of customers to buy new products
35000
230
black_friday
Customer purchases on Black Friday
116774
10
diamonds
Predict price of a diamond
37758
10
mercedes
Time the car took to pass testing
2946
377
news_popularity
Predict the number of shares of article in social networks (popularity)
27750
60
nyc_taxi
Predict tip amount for NYC taxi cab
407284
15
twitter
The popularity of a topic on social media
408275
78
## Contributing
This project welcomes contributions from the community. Before submitting a pull request, please [review our contribution guide](./CONTRIBUTING.md)
## Security
Please consult the [security guide](./SECURITY.md) for our responsible security vulnerability disclosure process
## License
Copyright (c) 2025 Oracle and/or its affiliates.
Released under the Universal Permissive License v1.0 as shown at
.
[1]: https://www.python.org/downloads/release/python-3813/
[2]: https://dev.mysql.com/doc/mysql-shell/8.0/en/
[3]: https://docs.cloud.oracle.com/en-us/iaas/Content/home.htm
[4]: https://docs.oracle.com/en-us/iaas/mysql-database/
[5]: https://dev.mysql.com/doc/heatwave/en/