feat(highcharts): implement pdp-basic

[github-actions]

Implementation: pdp-basic - highcharts

Implements the highcharts version of pdp-basic.

File: plots/pdp-basic/implementations/highcharts.py

Parent Issue: #2922

---

🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

The plot displays a Partial Dependence Plot with a blue line (#306998) showing the relationship between Feature 0 Value (x-axis, ranging from approximately -1.5 to 1.5) and Partial Dependence centered (y-axis, ranging from approximately -14 to 17). A light blue shaded area represents the 90% Confidence Interval around the main PDP line. Vertical blue lines along the x-axis serve as a rug plot showing the distribution of training data values. The title "pdp-basic · highcharts · pyplots.ai" is at the top with a subtitle "Partial Dependence of Feature 0 on Model Predictions". A dashed horizontal line at y=0 provides a reference. The legend is positioned in the top-right corner. The overall layout is clean with subtle grid lines.

Quality Score: 91/100

Criteria Checklist

Visual Quality (36/40 pts)

• VQ-01: Text Legibility (10/10) - Title, subtitle, axis labels, and tick marks are all clearly readable at appropriate sizes
• VQ-02: No Overlap (8/8) - No overlapping text elements anywhere in the plot
• VQ-03: Element Visibility (7/8) - Line is clearly visible with good thickness; confidence band is appropriately transparent; rug plot lines are visible but could be slightly more prominent
• VQ-04: Color Accessibility (5/5) - Uses blue color scheme throughout, colorblind-safe
• VQ-05: Layout Balance (4/5) - Good overall layout, though the plot could use slightly more of the vertical canvas space
• VQ-06: Axis Labels (2/2) - Y-axis labeled "Partial Dependence (centered)" and X-axis labeled "Feature 0 Value" - descriptive labels
• VQ-07: Grid & Legend (0/2) - Grid is subtle, but the legend is positioned far from the data in the upper right corner with significant empty space

Spec Compliance (25/25 pts)

• SC-01: Plot Type (8/8) - Correct line plot showing partial dependence
• SC-02: Data Mapping (5/5) - Feature values correctly on X-axis, partial dependence on Y-axis
• SC-03: Required Features (5/5) - Includes PDP line, confidence interval band, rug plot, centered at zero
• SC-04: Data Range (3/3) - All data visible within axes
• SC-05: Legend Accuracy (2/2) - Legend correctly labels "90% Confidence Interval" and "Partial Dependence"
• SC-06: Title Format (2/2) - Correctly uses "pdp-basic · highcharts · pyplots.ai"

Data Quality (18/20 pts)

• DQ-01: Feature Coverage (7/8) - Shows the PDP curve with variance across the feature range, demonstrates both positive and negative partial dependence effects; could show more dramatic/interpretable patterns
• DQ-02: Realistic Context (6/7) - Uses sklearn GradientBoostingRegressor which is plausible; feature labeling is generic ("Feature 0")
• DQ-03: Appropriate Scale (5/5) - Values are sensible for centered partial dependence

Code Quality (9/10 pts)

• CQ-01: KISS Structure (3/3) - Linear script structure, no functions or classes
• CQ-02: Reproducibility (3/3) - Uses np.random.seed(42) and random_state=42
• CQ-03: Clean Imports (2/2) - All imports are used
• CQ-04: No Deprecated API (1/1) - Using current sklearn and highcharts APIs
• CQ-05: Output Correct (0/1) - Saves as plot.png correctly, but also saves plot.html (minor: extra output)

Library Features (3/5 pts)

• LF-01: Uses Highcharts features (3/5) - Uses AreaRangeSeries for confidence bands, plotLines for rug plot and zero reference line; could leverage more interactive features or tooltip customization

Strengths

• Correct implementation of PDP with confidence intervals computed from individual conditional expectations
• Includes rug plot using plotLines to show training data distribution
• Centers partial dependence at zero for easier interpretation as recommended in spec
• Clean colorblind-safe color scheme using Python Blue (#306998)
• Proper use of AreaRangeSeries for the confidence band

Weaknesses

• Legend is positioned in top-right corner with significant empty space between it and the data area
• Rug plot lines could be slightly thicker or more prominent at the bottom of the plot rather than spanning full height
• Could add more descriptive tooltip content showing exact values

Verdict: APPROVED