comparison html_structure.py @ 17:db9be962dc13 draft default tip

planemo upload for repository https://github.com/goeckslab/gleam.git commit 9db874612b0c3e4f53d639459fe789b762660cd6

16:8729f69e9207

import base64
import json
from typing import Any, Dict, Optional

from constants import METRIC_DISPLAY_NAMES
from utils import detect_output_type, extract_metrics_from_json

    training_progress: dict = None,
    output_type: Optional[str] = None,
) -> str:
    display_keys = [
        "architecture",
        "pretrained",
        "trainable",
        "target_column",
        "task_type",
        "validation_metric",

            if val == 0.5:
                val_str += " (default)"
        else:
            if key == "task_type":
                val_str = val.title() if isinstance(val, str) else "N/A"
            elif key == "batch_size":
                if isinstance(val, (int, float)):
                    val_str = int(val)
                else:
                    val = "auto"

                            "See <a href='https://ludwig.ai/latest/configuration/trainer/"
                            "#trainer-parameters' target='_blank'>"
                            "Ludwig Trainer Parameters</a> for details."
                            "</span>"
                        )
            elif key == "epochs":
                if val is None:
                    val_str = "N/A"
                else:
                    if (

        "});"
        "</script>"
    )
    return modal_html + modal_js

# -----------------------------------------
# MODEL PERFORMANCE (Train/Val/Test) TABLE
# -----------------------------------------

17:db9be962dc13

import base64
import json
from typing import Any, Dict, List, Optional

from constants import METRIC_DISPLAY_NAMES
from utils import detect_output_type, extract_metrics_from_json

    training_progress: dict = None,
    output_type: Optional[str] = None,
) -> str:
    display_keys = [
        "architecture",
        "image_size",
        "pretrained",
        "trainable",
        "target_column",
        "task_type",
        "validation_metric",

            if val == 0.5:
                val_str += " (default)"
        else:
            if key == "task_type":
                val_str = val.title() if isinstance(val, str) else "N/A"
            elif key == "image_size":
                if val is None:
                    val_str = "N/A"
                elif isinstance(val, (list, tuple)) and len(val) == 2:
                    val_str = f"{val[0]}x{val[1]}"
                elif isinstance(val, str) and val.lower() == "original":
                    val_str = "Original (no resize)"
                else:
                    val_str = str(val)
            elif key == "batch_size":
                if isinstance(val, (int, float)):
                    val_str = int(val)
                else:
                    val = "auto"

                            "See <a href='https://ludwig.ai/latest/configuration/trainer/"
                            "#trainer-parameters' target='_blank'>"
                            "Ludwig Trainer Parameters</a> for details."
                            "</span>"
                        )
            elif key == "validation_metric":
                if val is not None:
                    val_str = METRIC_DISPLAY_NAMES.get(str(val), str(val))
                else:
                    val_str = "N/A"
            elif key == "epochs":
                if val is None:
                    val_str = "N/A"
                else:
                    if (

        "});"
        "</script>"
    )
    return modal_html + modal_js


def format_dataset_overview_table(rows: List[Dict[str, Any]], regression_mode: bool = False) -> str:
    """Render a dataset overview table.

    - Classification: per-label distribution across train/val/test.
    - Regression: split counts (train/val/test).
    """
    heading = "<h2 style='text-align: center;'>Dataset Overview</h2>"
    if not rows:
        return heading + "<p style='text-align: center; color: #666;'>Dataset overview unavailable.</p><br>"

    if regression_mode:
        headers = ["Split", "Count"]
        html = (
            heading
            + "<div style='display: flex; justify-content: center;'>"
            + "<table class='performance-summary' style='border-collapse: collapse; table-layout: fixed;'>"
            + "<thead><tr>"
            + "".join(
                f"<th style='padding: 10px; border: 1px solid #ccc; text-align: center; white-space: nowrap;'>{h}</th>"
                for h in headers
            )
            + "</tr></thead><tbody>"
        )
        for row in rows:
            html += generate_table_row(
                [
                    row.get("split", "N/A"),
                    row.get("count", 0),
                ],
                "padding: 10px; border: 1px solid #ccc; text-align: center; white-space: nowrap;",
            )
        html += "</tbody></table></div><br>"
    else:
        html = (
            heading
            + "<div style='display: flex; justify-content: center;'>"
            + "<table class='performance-summary' style='border-collapse: collapse; table-layout: fixed;'>"
            + "<thead><tr>"
            + "<th style='padding: 10px; border: 1px solid #ccc; text-align: left; white-space: nowrap;'>Label</th>"
            + "<th style='padding: 10px; border: 1px solid #ccc; text-align: center; white-space: nowrap;'>Train</th>"
            + "<th style='padding: 10px; border: 1px solid #ccc; text-align: center; white-space: nowrap;'>Validation</th>"
            + "<th style='padding: 10px; border: 1px solid #ccc; text-align: center; white-space: nowrap;'>Test</th>"
            + "</tr></thead><tbody>"
        )
        for row in rows:
            html += generate_table_row(
                [
                    row.get("label", "N/A"),
                    row.get("train", 0),
                    row.get("validation", 0),
                    row.get("test", 0),
                ],
                "padding: 10px; border: 1px solid #ccc; text-align: center; white-space: nowrap;",
            )
        html += "</tbody></table></div><br>"
    return html

# -----------------------------------------
# MODEL PERFORMANCE (Train/Val/Test) TABLE
# -----------------------------------------