Python plot_xy_bootstrapped Examples

Example #1

File: plots.py Project: bigsnarfdude/data-engineering-101

def precision_recall_curve(cached_data, ax=None, label=None):
    thresholds = cached_data[0]['thresholds']
    precision = [x['precisions'] for x in cached_data]
    recall = [x['recalls'] for x in cached_data]

    image_data = plot_helpers.plot_xy_bootstrapped(
        precision, recall, thresholds, 'precision', 'recall', ax=ax, label=label)
    return utf8_decode(image_data)

Example #2

File: plots.py Project: bigsnarfdude/data-engineering-101

def roc_curve(cached_data, ax=None, label=None):
    thresholds = cached_data[0]['thresholds']
    fpr = [x['fprs'] for x in cached_data]
    tpr = [x['recalls'] for x in cached_data]

    image_data = plot_helpers.plot_xy_bootstrapped(
        fpr, tpr, thresholds, 'false positive', 'true positive', ax=ax, label=label)
    return utf8_decode(image_data)

Example #3

File: plots.py Project: udibr/topmodel

def support_precision_curve(cached_data, ax=None, label=None):
    thresholds = cached_data[0]['thresholds']
    precision = [x['precisions'] for x in cached_data]
    support = [x['support'] for x in cached_data]

    image_data = plot_helpers.plot_xy_bootstrapped(
        support, precision, thresholds, 'support', 'precision', ax=ax, label=label)
    return utf8_decode(image_data)

Example #4

File: plots.py Project: viphuangwei/topmodel

def roc_curve(cached_data, ax=None, label=None):
    thresholds = cached_data[0]['thresholds']
    fpr = [x['fprs'] for x in cached_data]
    tpr = [x['recalls'] for x in cached_data]

    image_data = plot_helpers.plot_xy_bootstrapped(fpr,
                                                   tpr,
                                                   thresholds,
                                                   'false positive',
                                                   'true positive',
                                                   ax=ax,
                                                   label=label)
    return utf8_decode(image_data)

Example #5

File: plots.py Project: viphuangwei/topmodel

def precision_recall_curve(cached_data, ax=None, label=None):
    thresholds = cached_data[0]['thresholds']
    precision = [x['precisions'] for x in cached_data]
    recall = [x['recalls'] for x in cached_data]

    image_data = plot_helpers.plot_xy_bootstrapped(precision,
                                                   recall,
                                                   thresholds,
                                                   'precision',
                                                   'recall',
                                                   ax=ax,
                                                   label=label)
    return utf8_decode(image_data)