build_widgets removed

qcpanel/util.py

@@ -106,109 +106,6 @@ def create_avg_plots(
     )
 
 
-def build_widgets(datasets: Dict[str, DatasetReport]):
-    available_datasets = list(datasets.keys())
-    dataset_widget = pn.widgets.Select(
-        name="dataset",
-        options=available_datasets,
-        align="center",
-    )
-
-    _dr = datasets[dataset_widget.value]
-    _data = _dr.data()
-    _metrics = _data.columns.unique(0)
-    _estimators = _data.columns.unique(1)
-
-    valid_metrics = [m for m in _metrics if not m.endswith("_score")]
-    metric_widget = pn.widgets.Select(
-        name="metric",
-        value="acc",
-        options=valid_metrics,
-        align="center",
-    )
-
-    valid_estimators = [e for e in _estimators if e != "ref"]
-    estimators_widget = pn.widgets.CheckButtonGroup(
-        name="estimators",
-        options=valid_estimators,
-        value=valid_estimators,
-        button_style="outline",
-        button_type="primary",
-        align="center",
-        orientation="vertical",
-        sizing_mode="scale_width",
-    )
-
-    valid_views = [str(round(cr.train_prev[1] * 100)) for cr in _dr.crs]
-    view_widget = pn.widgets.RadioButtonGroup(
-        name="view",
-        options=valid_views + ["avg"],
-        value="avg",
-        button_style="outline",
-        button_type="primary",
-        align="center",
-        orientation="vertical",
-    )
-
-    @pn.depends(dataset_widget.param.value, watch=True)
-    def _update_from_dataset(_dataset):
-        l_dr = datasets[dataset_widget.value]
-        l_data = l_dr.data()
-        l_metrics = l_data.columns.unique(0)
-        l_estimators = l_data.columns.unique(1)
-
-        l_valid_estimators = [e for e in l_estimators if e != "ref"]
-        l_valid_metrics = [m for m in l_metrics if not m.endswith("_score")]
-        l_valid_views = [str(round(cr.train_prev[1] * 100)) for cr in l_dr.crs]
-
-        metric_widget.options = l_valid_metrics
-        metric_widget.value = l_valid_metrics[0]
-
-        estimators_widget.options = l_valid_estimators
-        estimators_widget.value = l_valid_estimators
-
-        view_widget.options = l_valid_views + ["avg"]
-        view_widget.value = "avg"
-
-    plot_mode_widget = pn.widgets.RadioButtonGroup(
-        name="mode",
-        value=valid_plot_modes["avg"][0],
-        options=valid_plot_modes["avg"],
-        button_style="outline",
-        button_type="primary",
-        align="center",
-        orientation="vertical",
-        sizing_mode="scale_width",
-    )
-
-    @pn.depends(view_widget.param.value, watch=True)
-    def _update_from_view(_view):
-        _modes = valid_plot_modes[_view]
-        plot_mode_widget.options = _modes
-        plot_mode_widget.value = _modes[0]
-
-    widget_pane = pn.Column(
-        dataset_widget,
-        metric_widget,
-        pn.Row(
-            view_widget,
-            plot_mode_widget,
-        ),
-        estimators_widget,
-    )
-
-    return (
-        widget_pane,
-        {
-            "dataset": dataset_widget,
-            "metric": metric_widget,
-            "view": view_widget,
-            "plot_mode": plot_mode_widget,
-            "estimators": estimators_widget,
-        },
-    )
-
-
 def build_plot(
     datasets: Dict[str, DatasetReport],
     dst: str,