Esempio n. 1
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def plot_labels(axes):
    core.plot_labels(axes,
                     labels_to_plot=[
                         "mnistExample",
                         "fashionExample",

                         "mnistIterError",
                         "fashionIterError",

                         "mseMnist",
                         "mseFashion",

                         "errorMnist",
                         "errorFashion",

                         "mnistOrigSandP",
                         "compPics",
                     ],
                     label_ypos={'mnistExample': .95,
                                 'fashionExample': .95,
                                 "mnistOrigSandP": .95,
                                 "compPics": .95},
                     label_xpos={'mnistExample': -.15,
                                 'fashionExample': -.25,
                                 "mnistOrigSandP": -.45,
                                 "compPics": -.08}
                     )
Esempio n. 2
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def plot_labels(axes):
    core.plot_labels(axes,
        labels_to_plot=[
            "jointDklsP",
            "inferenceDklsP",
            "jointDklsS",
            "inferenceDklsS",
        ],
    #    label_ypos = {'delays_all': 0.95},
        label_xpos = {}
        )
Esempio n. 3
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def plot_labels(axes):
    core.plot_labels(axes,
                     labels_to_plot=["mnistTsne", "fashionTsne"],
                     label_ypos={
                         'fashionTsne': 1.,
                         'mnistTsne': 1.
                     },
                     label_xpos={
                         'fashionTsne': -0.03,
                         "mnistTsne": -0.03
                     })
Esempio n. 4
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def plot_labels(axes):
    core.plot_labels(axes,
                     labels_to_plot=["mnist", "fashion"],
                     label_ypos={
                         'fashion': 1.,
                         'mnist': 1.
                     },
                     label_xpos={
                         'fashion': -0.15,
                         "mnist": -0.15
                     })
Esempio n. 5
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def plot_labels(axes):
    core.plot_labels(axes,
                     labels_to_plot=[
                         "waferPhoto",
                         "waferTopView",
                         "reticle",
                         "pspPreCalib",
                         "pspPostCalib"
                     ],
                     label_ypos = {},
                     label_xpos={},
                     )
Esempio n. 6
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def plot_labels(axes):
    core.plot_labels(
        axes,
        labels_to_plot=[
            "dklPoisson", "dklSon", "jointPoisson", "jointSon",
            "marginalPoisson", "marginalSon"
        ],
        #    label_ypos = {'delays_all': 0.95},
        label_xpos={
            'dummy2': 0.02,
            "dummy1": 0.02
        })
Esempio n. 7
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def plot_labels(axes):
    core.plot_labels(axes,
                     labels_to_plot=[
                         "strucPoisson",
                         "strucSon",
                         "actFunc",
                         "histMiddle",
                         "histSigma"
                     ],
                     label_ypos = {},
                     label_xpos={},
                     )
Esempio n. 8
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def plot_labels(axes):
    core.plot_labels(
        axes,
        labels_to_plot=[
            "dummy1",
            "dummy2",
        ],
        #    label_ypos = {'delays_all': 0.95},
        label_xpos={
            'dummy2': 0.02,
            "dummy1": 0.02
        })
Esempio n. 9
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def plot_labels(axes):
    core.plot_labels(
        axes,
        labels_to_plot=[
            "privatePoisson",
            "sonInput",
            "rbmStructure",
        ],
        #    label_ypos = {'delays_all': 0.95},
        label_xpos={
            'dummy2': 0.02,
            "dummy1": 0.02
        })
Esempio n. 10
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def plot_labels(axes):
    core.plot_labels(axes,
                     labels_to_plot=[
                         'moduleSketch',
                         'modulePhoto',
                     ],
                     label_ypos={
                         'moduleSketch': 1.,
                         'modulePhoto': 1.
                     },
                     label_xpos={
                         'moduleSketch': -0.05,
                         'modulePhoto': -0.05
                     })
Esempio n. 11
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def plot_labels(axes):
    core.plot_labels(
        axes,
        labels_to_plot=[
            "bmStructure",
            "tracesToStates",
            "distr",
            "rbmSketch",
        ],
        label_ypos={},
        label_xpos={
            'tracesToStates': -.2,
            'rbmSketch': 0.02
        },
    )
Esempio n. 12
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def plot_labels(axes):
    core.plot_labels(axes,
                     labels_to_plot=[
                         "tracesToStates",
                         "structure",
                         "dklTime",
                         "pspShapes"
                     ],
                     label_ypos = {'pspShapes': 1.,
                                   'dklTime':1.},
                     label_xpos={'dummy2': 0.02,
                                 "dummy1": 0.02,
                                 'pspShapes':0.02,
                                 'structure':-0.05,
                                 }
                     )
Esempio n. 13
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def plot_labels(axes):
    """Naming of gridspecs plus placement"""
    core.plot_labels(
        axes,
        labels_to_plot=[
            "psp_shapes",
            "membrane_schematic_0",
            "arch",
            "coding",
        ],
        label_ypos={
            "arch": 0.87,
            "coding": 0.87,
            "psp_shapes": 0.95,
        },
        label_xpos={},
    )
Esempio n. 14
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def plot_labels(axes):
    core.plot_labels(
        axes,
        labels_to_plot=[
            "trainingPoisson",
            "trainingSon",
            "dklPoisson",
            "dklSon",
            "jointPoisson",
            "jointSon",
            "marginalPoisson",
            "marginalSon",
        ],
        #    label_ypos = {'delays_all': 0.95},
        label_xpos={
            'dklPoisson': 0.1,
            'dklSon': 0.1
        })
Esempio n. 15
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def plot_labels(axes):
    core.plot_labels(axes,
                     labels_to_plot=[
                         "mnistTraining", "fashionTraining",
                         "mnistMixtureMatrix", "fashionMixtureMatrix"
                     ],
                     label_ypos={
                         'mnistTraining': 1.,
                         'mnistMixtureMatrix': 1.,
                         'fashionTraining': 1.,
                         'fashionMixtureMatrix': 1.
                     },
                     label_xpos={
                         'mnistTraining': -.15,
                         'mnistMixtureMatrix': -.2,
                         'fashionTraining': -.15,
                         'fashionMixtureMatrix': -.2
                     })
Esempio n. 16
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def plot_labels(axes):
    core.plot_labels(axes,
                     labels_to_plot=[
                         "classRatio",
                         "mseTime",
                         "orig",
                         "mnistOrig1",
                     ],
                     label_ypos={
                         'classRatio': 1.1,
                         'mseTime': 1.1,
                         'orig': 1.1,
                         'mnistOrig1': 1.1
                     },
                     label_xpos={
                         'classRatio': -.2,
                         'mseTime': -.2,
                         'orig': -.45,
                         'mnistOrig1': -.6
                     })
Esempio n. 17
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def plot_labels(axes):
    core.plot_labels(
        axes,
        labels_to_plot=[
            "trainingDKL",
            "singleDKL",
            "probDist",
            "marginal",
            "boxAndWhiskers",
            "otherDistr1",
            "infSingleDKL",
            "infProbDist",
            "infMarginal",
        ],
        label_ypos={},
        label_xpos={
            "singleDKL": 0.1,
            "otherDistr1": 0.05
        },
    )