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dvc_render_html_report_from_metrics_dictionary.py
pythonThis quickstart demonstrates how to use dvc-render to create an HTML report c
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dvc_render_html_report_from_metrics_dictionary.py
1from dvc_render import Renderer
2
3# Define some dummy data for visualization
4data = [
5 {"loss": 0.9, "accuracy": 0.1, "step": 0},
6 {"loss": 0.5, "accuracy": 0.5, "step": 1},
7 {"loss": 0.2, "accuracy": 0.9, "step": 2},
8]
9
10# Create a renderer for the data
11# Note: In a typical DVC workflow, this is used to generate HTML reports
12# for plots stored in JSON/CSV/TSV formats.
13renderer = Renderer(data, "metrics.json")
14
15# Generate the HTML plot
16html_content = renderer.generate_html()
17
18# Save or display the HTML content
19with open("report.html", "w") as f:
20 f.write(html_content)
21
22print("Report generated: report.html")