comparison html_structure.py @ 15:d17e3a1b8659 draft default tip

planemo upload for repository https://github.com/goeckslab/gleam.git commit bc50fef8acb44aca15d0a1746e6c0c967da5bb17

14:94cd9ac4a9b1

    split_info: Optional[str] = None,
    training_progress: dict = None,
    output_type: Optional[str] = None,
) -> str:
    display_keys = [
        "task_type",
        "model_name",
        "epochs",
        "batch_size",
        "fine_tune",
        "use_pretrained",
        "learning_rate",
        "random_seed",
        "early_stop",
        "threshold",
    ]

    rows = []

    for key in display_keys:
        val = config.get(key, None)
        if key == "threshold":
            if output_type != "binary":
                continue
            val = val if val is not None else 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 val is not None:
                    val_str = int(val)
                else:
                    val = "auto"
                    val_str = "auto"
            resolved_val = None

                            f"Because of early stopping: the training "
                            f"stopped at epoch {training_progress['epoch']}"
                        )
                    else:
                        val_str = val
            else:
                val_str = val if val is not None else "N/A"
            if val_str == "N/A" and key not in ["task_type"]:
                continue
        rows.append(

            f"<td style='padding: 6px 12px; border: 1px solid #ccc; text-align: center; "
            f"white-space: normal; word-break: break-word; overflow-wrap: anywhere;'>{split_info}</td></tr>"
        )

    html = f"""
        <h2 style="text-align: center;">Model and Training Summary</h2>
        <div style="display: flex; justify-content: center;">
          <table style="border-collapse: collapse; width: 100%; table-layout: fixed;">
            <thead><tr>
              <th style="padding: 10px; border: 1px solid #ccc; text-align: left; white-space: nowrap; overflow: hidden; text-overflow: ellipsis;">Parameter</th>
              <th style="padding: 10px; border: 1px solid #ccc; text-align: center; white-space: nowrap; overflow: hidden; text-overflow: ellipsis;">Value</th>

def build_tabbed_html(metrics_html: str, train_val_html: str, test_html: str) -> str:
    """
    Build a 3-tab interface:
      - Config and Results Summary
      - Train/Validation Results
      - Test Results
    Includes a persistent "Help" button that toggles the metrics modal.
    """
    return f"""
<div class="tabs">
  <div class="tab active" onclick="showTab('metrics')">Config and Results Summary</div>
  <div class="tab" onclick="showTab('trainval')">Train/Validation Results</div>
  <div class="tab" onclick="showTab('test')">Test Results</div>
  <button id="openMetricsHelp" class="help-btn" title="Open metrics help">Help</button>
</div>

<div id="metrics" class="tab-content active">

15:d17e3a1b8659

    split_info: Optional[str] = None,
    training_progress: dict = None,
    output_type: Optional[str] = None,
) -> str:
    display_keys = [
        "architecture",
        "pretrained",
        "trainable",
        "target_column",
        "task_type",
        "validation_metric",
        "loss_function",
        "threshold",
        "epochs",
        "total_epochs",
        "batch_size",
        "fine_tune",
        "use_pretrained",
        "learning_rate",
        "optimizer",
        "random_seed",
        "early_stop",
        "use_mixed_precision",
        "gradient_clipping",
    ]

    rows = []

    for key in display_keys:
        val_str = "N/A"
        val = config.get(key, None)
        if key == "threshold":
            if output_type != "binary":
                continue
            val = val if val is not None else 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"
                    val_str = "auto"
            resolved_val = None

                            f"Because of early stopping: the training "
                            f"stopped at epoch {training_progress['epoch']}"
                        )
                    else:
                        val_str = val
            elif key == "pretrained":
                if isinstance(val, bool):
                    val_str = "Yes (ImageNet)" if val else "No"
                else:
                    val_str = val if val is not None else "N/A"
            elif key == "trainable":
                if isinstance(val, bool):
                    val_str = "Trainable" if val else "Frozen"
                else:
                    val_str = val if val is not None else "N/A"
            elif key == "use_mixed_precision":
                if isinstance(val, bool):
                    val_str = "Yes" if val else "No"
                else:
                    val_str = val if val is not None else "N/A"
            else:
                val_str = val if val is not None else "N/A"
            if val_str == "N/A" and key not in ["task_type"]:
                continue
        rows.append(

            f"<td style='padding: 6px 12px; border: 1px solid #ccc; text-align: center; "
            f"white-space: normal; word-break: break-word; overflow-wrap: anywhere;'>{split_info}</td></tr>"
        )

    html = f"""
        <h2 style="text-align: center;">Training Configuration (Model, Data, Metrics)</h2>
        <div style="display: flex; justify-content: center;">
          <table style="border-collapse: collapse; width: 100%; table-layout: fixed;">
            <thead><tr>
              <th style="padding: 10px; border: 1px solid #ccc; text-align: left; white-space: nowrap; overflow: hidden; text-overflow: ellipsis;">Parameter</th>
              <th style="padding: 10px; border: 1px solid #ccc; text-align: center; white-space: nowrap; overflow: hidden; text-overflow: ellipsis;">Value</th>

def build_tabbed_html(metrics_html: str, train_val_html: str, test_html: str) -> str:
    """
    Build a 3-tab interface:
      - Config and Overall Performance Summary
      - Train/Validation Results
      - Test Results
    Includes a persistent "Help" button that toggles the metrics modal.
    """
    return f"""
<div class="tabs">
  <div class="tab active" onclick="showTab('metrics')">Config and Overall Performance Summary</div>
  <div class="tab" onclick="showTab('trainval')">Training and Validation Results</div>
  <div class="tab" onclick="showTab('test')">Test Results</div>
  <button id="openMetricsHelp" class="help-btn" title="Open metrics help">Help</button>
</div>

<div id="metrics" class="tab-content active">