4aecd469a1
- Add Prometheus, Grafana, and Loki monitoring stack - Include pre-configured dashboards for ML metrics and logs - Add Podman container support with security policies - Implement ML runtime environments for multiple frameworks - Add containerized ML project templates (PyTorch, TensorFlow, etc.) - Include secure runner with isolation and resource limits - Add comprehensive log aggregation and alerting
11 lines
242 B
Markdown
11 lines
242 B
Markdown
# Scikit-learn Experiment
|
|
|
|
Random Forest classification project using scikit-learn.
|
|
|
|
## Usage
|
|
```bash
|
|
python train.py --n_estimators 100 --output_dir ./results
|
|
```
|
|
|
|
## Results
|
|
Results are saved in JSON format with accuracy and model metrics.
|