ludwig/visualize.py [193:211]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        probabilities,
        ground_truth,
        ground_truth_split,
        output_feature_name,
        **kwargs
):
    """Load model data from files to be shown by compare_classifiers_from_prob.

    :param probabilities: Path to experiment probabilities file
    :param ground_truth: Path to ground truth file
    :param ground_truth_split: Type of ground truth split - train, val, test
    :param output_feature_name: Name of the output feature to visualize
    :param kwargs: model configuration arguments
    :return None:
    """
    gt = load_from_file(ground_truth, output_feature_name, ground_truth_split)
    probabilities_per_model = load_data_for_viz(
        'load_from_file', probabilities, dtype=float
    )
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ludwig/visualize.py [249:267]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        probabilities,
        ground_truth,
        ground_truth_split,
        output_feature_name,
        **kwargs
):
    """Load model data from files to be shown by compare_classifiers_subset.

    :param probabilities: Path to experiment probabilities file
    :param ground_truth: Path to ground truth file
    :param ground_truth_split: Type of ground truth split - train, val, test
    :param output_feature_name: Name of the output feature to visualize
    :param kwargs: model configuration arguments
    :return None:
    """
    gt = load_from_file(ground_truth, output_feature_name, ground_truth_split)
    probabilities_per_model = load_data_for_viz(
        'load_from_file', probabilities, dtype=float
    )
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ludwig/visualize.py [274:292]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        probabilities,
        ground_truth,
        ground_truth_split,
        output_feature_name,
        **kwargs
):
    """Load model data from files to be shown by compare_classifiers_changing_k.

    :param probabilities: Path to experiment probabilities file
    :param ground_truth: Path to ground truth file
    :param ground_truth_split: Type of ground truth split - train, val, test
    :param output_feature_name: Name of the output feature to visualize
    :param kwargs: model configuration arguments
    :return None:
    """
    gt = load_from_file(ground_truth, output_feature_name, ground_truth_split)
    probabilities_per_model = load_data_for_viz(
        'load_from_file', probabilities, dtype=float
    )
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ludwig/visualize.py [366:384]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        probabilities,
        ground_truth,
        ground_truth_split,
        output_feature_name,
        **kwargs
):
    """Load model data from files to be shown by confidence_thresholding.

    :param probabilities: Path to experiment probabilities file
    :param ground_truth: Path to ground truth file
    :param ground_truth_split: Type of ground truth split - train, val, test
    :param output_feature_name: Name of the output feature to visualize
    :param kwargs: model configuration arguments
    :return None:
    """
    gt = load_from_file(ground_truth, output_feature_name, ground_truth_split)
    probabilities_per_model = load_data_for_viz(
        'load_from_file', probabilities, dtype=float
    )
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/visualize.py [391:410]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        probabilities,
        ground_truth,
        ground_truth_split,
        output_feature_name,
        **kwargs
):
    """Load model data from files to be shown by
    confidence_thresholding_data_vs_acc_cli.

    :param probabilities: Path to experiment probabilities file
    :param ground_truth: Path to ground truth file
    :param ground_truth_split: Type of ground truth split - train, val, test
    :param output_feature_name: Name of the output feature to visualize
    :param kwargs: model configuration arguments
    :return None:
    """
    gt = load_from_file(ground_truth, output_feature_name, ground_truth_split)
    probabilities_per_model = load_data_for_viz(
        'load_from_file', probabilities, dtype=float
    )
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/visualize.py [417:436]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        probabilities,
        ground_truth,
        ground_truth_split,
        output_feature_name,
        **kwargs
):
    """Load model data from files to be shown by
    confidence_thresholding_data_vs_acc_subset.

    :param probabilities: Path to experiment probabilities file
    :param ground_truth: Path to ground truth file
    :param ground_truth_split: Type of ground truth split - train, val, test
    :param output_feature_name: Name of the output feature to visualize
    :param kwargs: model configuration arguments
    :return None:
    """
    gt = load_from_file(ground_truth, output_feature_name, ground_truth_split)
    probabilities_per_model = load_data_for_viz(
        'load_from_file', probabilities, dtype=float
    )
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/visualize.py [543:561]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        probabilities,
        ground_truth,
        ground_truth_split,
        output_feature_name,
        **kwargs
):
    """Load model data from files to be shown by binary_threshold_vs_metric_cli.

    :param probabilities: Path to experiment probabilities file
    :param ground_truth: Path to ground truth file
    :param ground_truth_split: Type of ground truth split - train, val, test
    :param output_feature_name: Name of the output feature to visualize
    :param kwargs: model configuration arguments
    :return None:
    """
    gt = load_from_file(ground_truth, output_feature_name, ground_truth_split)
    probabilities_per_model = load_data_for_viz(
        'load_from_file', probabilities, dtype=float
    )
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/visualize.py [568:586]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        probabilities,
        ground_truth,
        ground_truth_split,
        output_feature_name,
        **kwargs
):
    """Load model data from files to be shown by roc_curves_cli.

    :param probabilities: Path to experiment probabilities file
    :param ground_truth: Path to ground truth file
    :param ground_truth_split: Type of ground truth split - train, val, test
    :param output_feature_name: Name of the output feature to visualize
    :param kwargs: model configuration arguments
    :return None:
    """
    gt = load_from_file(ground_truth, output_feature_name, ground_truth_split)
    probabilities_per_model = load_data_for_viz(
        'load_from_file', probabilities, dtype=float
    )
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/visualize.py [605:623]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        probabilities,
        ground_truth,
        ground_truth_split,
        output_feature_name,
        **kwargs
):
    """Load model data from files to be shown by calibration_1_vs_all_cli.

    :param probabilities: Path to experiment probabilities file
    :param ground_truth: Path to ground truth file
    :param ground_truth_split: Type of ground truth split - train, val, test
    :param output_feature_name: Name of the output feature to visualize
    :param kwargs: model configuration arguments
    :return None:
    """
    gt = load_from_file(ground_truth, output_feature_name, ground_truth_split)
    probabilities_per_model = load_data_for_viz(
        'load_from_file', probabilities, dtype=float
    )
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/visualize.py [628:646]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        probabilities,
        ground_truth,
        ground_truth_split,
        output_feature_name,
        **kwargs
):
    """Load model data from files to be shown by calibration_multiclass_cli.

    :param probabilities: Path to experiment probabilities file
    :param ground_truth: Path to ground truth file
    :param ground_truth_split: Type of ground truth split - train, val, test
    :param output_feature_name: Name of the output feature to visualize
    :param kwargs: model configuration arguments
    :return None:
    """
    gt = load_from_file(ground_truth, output_feature_name, ground_truth_split)
    probabilities_per_model = load_data_for_viz(
        'load_from_file', probabilities, dtype=float
    )
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