1108 lines
53 KiB
HTML
1108 lines
53 KiB
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<h1 id="index">Index</h1>
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<div class="genindex-jumpbox">
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<a href="#A"><strong>A</strong></a>
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| <a href="#B"><strong>B</strong></a>
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| <a href="#C"><strong>C</strong></a>
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| <a href="#D"><strong>D</strong></a>
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| <a href="#E"><strong>E</strong></a>
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| <a href="#F"><strong>F</strong></a>
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| <a href="#G"><strong>G</strong></a>
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| <a href="#H"><strong>H</strong></a>
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| <a href="#T"><strong>T</strong></a>
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| <a href="#V"><strong>V</strong></a>
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| <a href="#W"><strong>W</strong></a>
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| <a href="#X"><strong>X</strong></a>
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</div>
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<h2 id="A">A</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.html#quapy.error.absolute_error">absolute_error() (in module quapy.error)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.ACC">ACC (class in quapy.method.aggregative)</a>
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</li>
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<li><a href="quapy.html#quapy.error.acc_error">acc_error() (in module quapy.error)</a>
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</li>
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<li><a href="quapy.html#quapy.error.acce">acce() (in module quapy.error)</a>
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</li>
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<li><a href="quapy.data.html#quapy.data.preprocessing.IndexTransformer.add_word">add_word() (quapy.data.preprocessing.IndexTransformer method)</a>
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</li>
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<li><a href="quapy.html#quapy.functional.adjusted_quantification">adjusted_quantification() (in module quapy.functional)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.AdjustedClassifyAndCount">AdjustedClassifyAndCount (in module quapy.method.aggregative)</a>
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</li>
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<li><a href="quapy.html#quapy.error.ae">ae() (in module quapy.error)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.ACC.aggregate">aggregate() (quapy.method.aggregative.ACC method)</a>
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<ul>
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<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeQuantifier.aggregate">(quapy.method.aggregative.AggregativeQuantifier method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.CC.aggregate">(quapy.method.aggregative.CC method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.ELM.aggregate">(quapy.method.aggregative.ELM method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.EMQ.aggregate">(quapy.method.aggregative.EMQ method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.HDy.aggregate">(quapy.method.aggregative.HDy method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.OneVsAll.aggregate">(quapy.method.aggregative.OneVsAll method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.PACC.aggregate">(quapy.method.aggregative.PACC method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.PCC.aggregate">(quapy.method.aggregative.PCC method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.ThresholdOptimization.aggregate">(quapy.method.aggregative.ThresholdOptimization method)</a>
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</li>
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</ul></li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeQuantifier.aggregative">aggregative (quapy.method.aggregative.AggregativeQuantifier property)</a>
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<ul>
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<li><a href="quapy.method.html#quapy.method.base.BaseQuantifier.aggregative">(quapy.method.base.BaseQuantifier property)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.meta.Ensemble.aggregative">(quapy.method.meta.Ensemble property)</a>
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</li>
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</ul></li>
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<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeProbabilisticQuantifier">AggregativeProbabilisticQuantifier (class in quapy.method.aggregative)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeQuantifier">AggregativeQuantifier (class in quapy.method.aggregative)</a>
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</li>
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<li><a href="quapy.html#quapy.evaluation.artificial_prevalence_prediction">artificial_prevalence_prediction() (in module quapy.evaluation)</a>
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</li>
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<li><a href="quapy.html#quapy.evaluation.artificial_prevalence_protocol">artificial_prevalence_protocol() (in module quapy.evaluation)</a>
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</li>
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<li><a href="quapy.html#quapy.evaluation.artificial_prevalence_report">artificial_prevalence_report() (in module quapy.evaluation)</a>
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</li>
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<li><a href="quapy.html#quapy.functional.artificial_prevalence_sampling">artificial_prevalence_sampling() (in module quapy.functional)</a>
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</li>
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<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.artificial_sampling_generator">artificial_sampling_generator() (quapy.data.base.LabelledCollection method)</a>
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</li>
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<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.artificial_sampling_index_generator">artificial_sampling_index_generator() (quapy.data.base.LabelledCollection method)</a>
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</li>
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<li><a href="quapy.classification.html#quapy.classification.neural.TorchDataset.asDataloader">asDataloader() (quapy.classification.neural.TorchDataset method)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="B">B</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.method.html#quapy.method.base.BaseQuantifier">BaseQuantifier (class in quapy.method.base)</a>
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</li>
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<li><a href="quapy.html#quapy.model_selection.GridSearchQ.best_model">best_model() (quapy.model_selection.GridSearchQ method)</a>
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</li>
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<li><a href="quapy.data.html#quapy.data.reader.binarize">binarize() (in module quapy.data.reader)</a>
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</li>
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<li><a href="quapy.data.html#quapy.data.base.Dataset.binary">binary (quapy.data.base.Dataset property)</a>
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<ul>
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<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.binary">(quapy.data.base.LabelledCollection property)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.OneVsAll.binary">(quapy.method.aggregative.OneVsAll property)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.base.BaseQuantifier.binary">(quapy.method.base.BaseQuantifier property)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.base.BinaryQuantifier.binary">(quapy.method.base.BinaryQuantifier property)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.meta.Ensemble.binary">(quapy.method.meta.Ensemble property)</a>
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</li>
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</ul></li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.html#quapy.plot.binary_bias_bins">binary_bias_bins() (in module quapy.plot)</a>
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</li>
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<li><a href="quapy.html#quapy.plot.binary_bias_global">binary_bias_global() (in module quapy.plot)</a>
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</li>
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<li><a href="quapy.html#quapy.plot.binary_diagonal">binary_diagonal() (in module quapy.plot)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.base.BinaryQuantifier">BinaryQuantifier (class in quapy.method.base)</a>
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</li>
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<li><a href="quapy.html#quapy.plot.brokenbar_supremacy_by_drift">brokenbar_supremacy_by_drift() (in module quapy.plot)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="C">C</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.method.html#quapy.method.aggregative.CC">CC (class in quapy.method.aggregative)</a>
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</li>
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<li><a href="quapy.data.html#quapy.data.base.Dataset.classes_">classes_ (quapy.data.base.Dataset property)</a>
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<ul>
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<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeQuantifier.classes_">(quapy.method.aggregative.AggregativeQuantifier property)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.OneVsAll.classes_">(quapy.method.aggregative.OneVsAll property)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.base.BaseQuantifier.classes_">(quapy.method.base.BaseQuantifier property)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.meta.Ensemble.classes_">(quapy.method.meta.Ensemble property)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.neural.QuaNetTrainer.classes_">(quapy.method.neural.QuaNetTrainer property)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.classes_">(quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation property)</a>
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</li>
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<li><a href="quapy.html#quapy.model_selection.GridSearchQ.classes_">(quapy.model_selection.GridSearchQ property)</a>
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</li>
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</ul></li>
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<li><a href="quapy.method.html#quapy.method.aggregative.ACC.classify">classify() (quapy.method.aggregative.ACC method)</a>
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<ul>
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<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeQuantifier.classify">(quapy.method.aggregative.AggregativeQuantifier method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.ELM.classify">(quapy.method.aggregative.ELM method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.OneVsAll.classify">(quapy.method.aggregative.OneVsAll method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.PACC.classify">(quapy.method.aggregative.PACC method)</a>
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</li>
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</ul></li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.method.html#quapy.method.aggregative.ClassifyAndCount">ClassifyAndCount (in module quapy.method.aggregative)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.neural.QuaNetTrainer.clean_checkpoint">clean_checkpoint() (quapy.method.neural.QuaNetTrainer method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.neural.QuaNetTrainer.clean_checkpoint_dir">clean_checkpoint_dir() (quapy.method.neural.QuaNetTrainer method)</a>
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</li>
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<li><a href="quapy.classification.html#quapy.classification.neural.CNNnet">CNNnet (class in quapy.classification.neural)</a>
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</li>
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<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.counts">counts() (quapy.data.base.LabelledCollection method)</a>
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</li>
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<li><a href="quapy.html#quapy.util.create_if_not_exist">create_if_not_exist() (in module quapy.util)</a>
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</li>
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<li><a href="quapy.html#quapy.util.create_parent_dir">create_parent_dir() (in module quapy.util)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="D">D</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.data.html#quapy.data.base.Dataset">Dataset (class in quapy.data.base)</a>
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</li>
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<li><a href="quapy.classification.html#quapy.classification.svmperf.SVMperf.decision_function">decision_function() (quapy.classification.svmperf.SVMperf method)</a>
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</li>
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<li><a href="quapy.classification.html#quapy.classification.neural.NeuralClassifierTrainer.device">device (quapy.classification.neural.NeuralClassifierTrainer property)</a>
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<ul>
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<li><a href="quapy.method.html#quapy.method.neural.QuaNetModule.device">(quapy.method.neural.QuaNetModule property)</a>
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</li>
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</ul></li>
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<li><a href="quapy.classification.html#quapy.classification.neural.TextClassifierNet.dimensions">dimensions() (quapy.classification.neural.TextClassifierNet method)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.classification.html#quapy.classification.neural.CNNnet.document_embedding">document_embedding() (quapy.classification.neural.CNNnet method)</a>
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<ul>
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<li><a href="quapy.classification.html#quapy.classification.neural.LSTMnet.document_embedding">(quapy.classification.neural.LSTMnet method)</a>
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</li>
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<li><a href="quapy.classification.html#quapy.classification.neural.TextClassifierNet.document_embedding">(quapy.classification.neural.TextClassifierNet method)</a>
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</li>
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</ul></li>
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<li><a href="quapy.html#quapy.util.download_file">download_file() (in module quapy.util)</a>
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</li>
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<li><a href="quapy.html#quapy.util.download_file_if_not_exists">download_file_if_not_exists() (in module quapy.util)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="E">E</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.method.html#quapy.method.meta.EACC">EACC() (in module quapy.method.meta)</a>
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</li>
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<li><a href="quapy.html#quapy.util.EarlyStop">EarlyStop (class in quapy.util)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.meta.ECC">ECC() (in module quapy.method.meta)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.meta.EEMQ">EEMQ() (in module quapy.method.meta)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.meta.EHDy">EHDy() (in module quapy.method.meta)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.ELM">ELM (class in quapy.method.aggregative)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.EMQ.EM">EM() (quapy.method.aggregative.EMQ class method)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.EMQ">EMQ (class in quapy.method.aggregative)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.method.html#quapy.method.meta.Ensemble">Ensemble (class in quapy.method.meta)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.meta.ensembleFactory">ensembleFactory() (in module quapy.method.meta)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.meta.EPACC">EPACC() (in module quapy.method.meta)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.EMQ.EPSILON">EPSILON (quapy.method.aggregative.EMQ attribute)</a>
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</li>
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<li><a href="quapy.html#quapy.plot.error_by_drift">error_by_drift() (in module quapy.plot)</a>
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</li>
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<li><a href="quapy.html#quapy.evaluation.evaluate">evaluate() (in module quapy.evaluation)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.ExpectationMaximizationQuantifier">ExpectationMaximizationQuantifier (in module quapy.method.aggregative)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.ExplicitLossMinimisation">ExplicitLossMinimisation (in module quapy.method.aggregative)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="F">F</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.html#quapy.error.f1_error">f1_error() (in module quapy.error)</a>
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|
</li>
|
|
<li><a href="quapy.html#quapy.error.f1e">f1e() (in module quapy.error)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.datasets.fetch_reviews">fetch_reviews() (in module quapy.data.datasets)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.datasets.fetch_twitter">fetch_twitter() (in module quapy.data.datasets)</a>
|
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</li>
|
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<li><a href="quapy.data.html#quapy.data.datasets.fetch_UCIDataset">fetch_UCIDataset() (in module quapy.data.datasets)</a>
|
|
</li>
|
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<li><a href="quapy.data.html#quapy.data.datasets.fetch_UCILabelledCollection">fetch_UCILabelledCollection() (in module quapy.data.datasets)</a>
|
|
</li>
|
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<li><a href="quapy.classification.html#quapy.classification.methods.LowRankLogisticRegression.fit">fit() (quapy.classification.methods.LowRankLogisticRegression method)</a>
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|
|
|
<ul>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.NeuralClassifierTrainer.fit">(quapy.classification.neural.NeuralClassifierTrainer method)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.svmperf.SVMperf.fit">(quapy.classification.svmperf.SVMperf method)</a>
|
|
</li>
|
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<li><a href="quapy.data.html#quapy.data.preprocessing.IndexTransformer.fit">(quapy.data.preprocessing.IndexTransformer method)</a>
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|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.ACC.fit">(quapy.method.aggregative.ACC method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeQuantifier.fit">(quapy.method.aggregative.AggregativeQuantifier method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.CC.fit">(quapy.method.aggregative.CC method)</a>
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|
</li>
|
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<li><a href="quapy.method.html#quapy.method.aggregative.ELM.fit">(quapy.method.aggregative.ELM method)</a>
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|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.EMQ.fit">(quapy.method.aggregative.EMQ method)</a>
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|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.HDy.fit">(quapy.method.aggregative.HDy method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.OneVsAll.fit">(quapy.method.aggregative.OneVsAll method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.PACC.fit">(quapy.method.aggregative.PACC method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.PCC.fit">(quapy.method.aggregative.PCC method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.ThresholdOptimization.fit">(quapy.method.aggregative.ThresholdOptimization method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.base.BaseQuantifier.fit">(quapy.method.base.BaseQuantifier method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.meta.Ensemble.fit">(quapy.method.meta.Ensemble method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.neural.QuaNetTrainer.fit">(quapy.method.neural.QuaNetTrainer method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.fit">(quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation method)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.model_selection.GridSearchQ.fit">(quapy.model_selection.GridSearchQ method)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.data.html#quapy.data.preprocessing.IndexTransformer.fit_transform">fit_transform() (quapy.data.preprocessing.IndexTransformer method)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.TextClassifierNet.forward">forward() (quapy.classification.neural.TextClassifierNet method)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.method.html#quapy.method.neural.QuaNetModule.forward">(quapy.method.neural.QuaNetModule method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="quapy.data.html#quapy.data.reader.from_csv">from_csv() (in module quapy.data.reader)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.error.from_name">from_name() (in module quapy.error)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.reader.from_sparse">from_sparse() (in module quapy.data.reader)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.reader.from_text">from_text() (in module quapy.data.reader)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="G">G</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.html#quapy.evaluation.gen_prevalence_prediction">gen_prevalence_prediction() (in module quapy.evaluation)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.evaluation.gen_prevalence_report">gen_prevalence_report() (in module quapy.evaluation)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.functional.get_nprevpoints_approximation">get_nprevpoints_approximation() (in module quapy.functional)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.methods.LowRankLogisticRegression.get_params">get_params() (quapy.classification.methods.LowRankLogisticRegression method)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.CNNnet.get_params">(quapy.classification.neural.CNNnet method)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.LSTMnet.get_params">(quapy.classification.neural.LSTMnet method)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.NeuralClassifierTrainer.get_params">(quapy.classification.neural.NeuralClassifierTrainer method)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.TextClassifierNet.get_params">(quapy.classification.neural.TextClassifierNet method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeQuantifier.get_params">(quapy.method.aggregative.AggregativeQuantifier method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.OneVsAll.get_params">(quapy.method.aggregative.OneVsAll method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.base.BaseQuantifier.get_params">(quapy.method.base.BaseQuantifier method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.meta.Ensemble.get_params">(quapy.method.meta.Ensemble method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.neural.QuaNetTrainer.get_params">(quapy.method.neural.QuaNetTrainer method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.get_params">(quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation method)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.model_selection.GridSearchQ.get_params">(quapy.model_selection.GridSearchQ method)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.method.html#quapy.method.meta.get_probability_distribution">get_probability_distribution() (in module quapy.method.meta)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.util.get_quapy_home">get_quapy_home() (in module quapy.util)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.model_selection.GridSearchQ">GridSearchQ (class in quapy.model_selection)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="H">H</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.HDy">HDy (class in quapy.method.aggregative)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.html#quapy.functional.HellingerDistance">HellingerDistance() (in module quapy.functional)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.HellingerDistanceY">HellingerDistanceY (in module quapy.method.aggregative)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="I">I</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.data.html#quapy.data.preprocessing.index">index() (in module quapy.data.preprocessing)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.preprocessing.IndexTransformer">IndexTransformer (class in quapy.data.preprocessing)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.base.isaggregative">isaggregative() (in module quapy.method.base)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.html#quapy.isbinary">isbinary() (in module quapy)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.data.html#quapy.data.base.isbinary">(in module quapy.data.base)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.base.isbinary">(in module quapy.method.base)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="quapy.method.html#quapy.method.base.isprobabilistic">isprobabilistic() (in module quapy.method.base)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="K">K</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.data.html#quapy.data.base.Dataset.kFCV">kFCV() (quapy.data.base.Dataset class method)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.kFCV">(quapy.data.base.LabelledCollection method)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.html#quapy.error.kld">kld() (in module quapy.error)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="L">L</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.data.html#quapy.data.base.LabelledCollection">LabelledCollection (class in quapy.data.base)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeQuantifier.learner">learner (quapy.method.aggregative.AggregativeQuantifier property)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.base.Dataset.load">load() (quapy.data.base.Dataset class method)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.load">(quapy.data.base.LabelledCollection class method)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.classification.html#quapy.classification.methods.LowRankLogisticRegression">LowRankLogisticRegression (class in quapy.classification.methods)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.LSTMnet">LSTMnet (class in quapy.classification.neural)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="M">M</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.html#quapy.error.mae">mae() (in module quapy.error)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.neural.mae_loss">mae_loss() (in module quapy.method.neural)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.util.map_parallel">map_parallel() (in module quapy.util)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.MAX">MAX (class in quapy.method.aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.EMQ.MAX_ITER">MAX_ITER (quapy.method.aggregative.EMQ attribute)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation">MaximumLikelihoodPrevalenceEstimation (class in quapy.method.non_aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.error.mean_absolute_error">mean_absolute_error() (in module quapy.error)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.error.mean_relative_absolute_error">mean_relative_absolute_error() (in module quapy.error)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.MedianSweep">MedianSweep (in module quapy.method.aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.MedianSweep2">MedianSweep2 (in module quapy.method.aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.error.mkld">mkld() (in module quapy.error)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.error.mnkld">mnkld() (in module quapy.error)</a>
|
|
</li>
|
|
<li>
|
|
module
|
|
|
|
<ul>
|
|
<li><a href="quapy.html#module-quapy">quapy</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#module-quapy.classification">quapy.classification</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#module-quapy.classification.methods">quapy.classification.methods</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#module-quapy.classification.neural">quapy.classification.neural</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#module-quapy.classification.svmperf">quapy.classification.svmperf</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#module-quapy.data">quapy.data</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#module-quapy.data.base">quapy.data.base</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#module-quapy.data.datasets">quapy.data.datasets</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#module-quapy.data.preprocessing">quapy.data.preprocessing</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#module-quapy.data.reader">quapy.data.reader</a>
|
|
</li>
|
|
<li><a href="quapy.html#module-quapy.error">quapy.error</a>
|
|
</li>
|
|
<li><a href="quapy.html#module-quapy.evaluation">quapy.evaluation</a>
|
|
</li>
|
|
<li><a href="quapy.html#module-quapy.functional">quapy.functional</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#module-quapy.method">quapy.method</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#module-quapy.method.aggregative">quapy.method.aggregative</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#module-quapy.method.base">quapy.method.base</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#module-quapy.method.meta">quapy.method.meta</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#module-quapy.method.neural">quapy.method.neural</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#module-quapy.method.non_aggregative">quapy.method.non_aggregative</a>
|
|
</li>
|
|
<li><a href="quapy.html#module-quapy.model_selection">quapy.model_selection</a>
|
|
</li>
|
|
<li><a href="quapy.html#module-quapy.plot">quapy.plot</a>
|
|
</li>
|
|
<li><a href="quapy.html#module-quapy.util">quapy.util</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.html#quapy.error.mrae">mrae() (in module quapy.error)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.MS">MS (class in quapy.method.aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.MS2">MS2 (class in quapy.method.aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.error.mse">mse() (in module quapy.error)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="N">N</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.data.html#quapy.data.base.Dataset.n_classes">n_classes (quapy.data.base.Dataset property)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.n_classes">(quapy.data.base.LabelledCollection property)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.base.BaseQuantifier.n_classes">(quapy.method.base.BaseQuantifier property)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="quapy.html#quapy.evaluation.natural_prevalence_prediction">natural_prevalence_prediction() (in module quapy.evaluation)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.evaluation.natural_prevalence_protocol">natural_prevalence_protocol() (in module quapy.evaluation)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.evaluation.natural_prevalence_report">natural_prevalence_report() (in module quapy.evaluation)</a>
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|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
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|
<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.natural_sampling_generator">natural_sampling_generator() (quapy.data.base.LabelledCollection method)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.natural_sampling_index_generator">natural_sampling_index_generator() (quapy.data.base.LabelledCollection method)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.NeuralClassifierTrainer">NeuralClassifierTrainer (class in quapy.classification.neural)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.error.nkld">nkld() (in module quapy.error)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.functional.normalize_prevalence">normalize_prevalence() (in module quapy.functional)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.functional.num_prevalence_combinations">num_prevalence_combinations() (in module quapy.functional)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
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|
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<h2 id="O">O</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.OneVsAll">OneVsAll (class in quapy.method.aggregative)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="P">P</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.PACC">PACC (class in quapy.method.aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.util.parallel">parallel() (in module quapy.util)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.PCC">PCC (class in quapy.method.aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.util.pickled_resource">pickled_resource() (in module quapy.util)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeProbabilisticQuantifier.posterior_probabilities">posterior_probabilities() (quapy.method.aggregative.AggregativeProbabilisticQuantifier method)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.OneVsAll.posterior_probabilities">(quapy.method.aggregative.OneVsAll method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="quapy.classification.html#quapy.classification.methods.LowRankLogisticRegression.predict">predict() (quapy.classification.methods.LowRankLogisticRegression method)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.NeuralClassifierTrainer.predict">(quapy.classification.neural.NeuralClassifierTrainer method)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.svmperf.SVMperf.predict">(quapy.classification.svmperf.SVMperf method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="quapy.classification.html#quapy.classification.methods.LowRankLogisticRegression.predict_proba">predict_proba() (quapy.classification.methods.LowRankLogisticRegression method)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.NeuralClassifierTrainer.predict_proba">(quapy.classification.neural.NeuralClassifierTrainer method)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.TextClassifierNet.predict_proba">(quapy.classification.neural.TextClassifierNet method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeProbabilisticQuantifier.predict_proba">(quapy.method.aggregative.AggregativeProbabilisticQuantifier method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.EMQ.predict_proba">(quapy.method.aggregative.EMQ method)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.prevalence">prevalence() (quapy.data.base.LabelledCollection method)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.functional.prevalence_from_labels">prevalence_from_labels() (in module quapy.functional)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.functional.prevalence_from_probabilities">prevalence_from_probabilities() (in module quapy.functional)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.functional.prevalence_linspace">prevalence_linspace() (in module quapy.functional)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeProbabilisticQuantifier.probabilistic">probabilistic (quapy.method.aggregative.AggregativeProbabilisticQuantifier property)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.OneVsAll.probabilistic">(quapy.method.aggregative.OneVsAll property)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.base.BaseQuantifier.probabilistic">(quapy.method.base.BaseQuantifier property)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.meta.Ensemble.probabilistic">(quapy.method.meta.Ensemble property)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.ProbabilisticAdjustedClassifyAndCount">ProbabilisticAdjustedClassifyAndCount (in module quapy.method.aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.ProbabilisticClassifyAndCount">ProbabilisticClassifyAndCount (in module quapy.method.aggregative)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
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|
|
<h2 id="Q">Q</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.method.html#quapy.method.neural.QuaNetModule">QuaNetModule (class in quapy.method.neural)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.neural.QuaNetTrainer">QuaNetTrainer (class in quapy.method.neural)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeProbabilisticQuantifier.quantify">quantify() (quapy.method.aggregative.AggregativeProbabilisticQuantifier method)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeQuantifier.quantify">(quapy.method.aggregative.AggregativeQuantifier method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.OneVsAll.quantify">(quapy.method.aggregative.OneVsAll method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.base.BaseQuantifier.quantify">(quapy.method.base.BaseQuantifier method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.meta.Ensemble.quantify">(quapy.method.meta.Ensemble method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.neural.QuaNetTrainer.quantify">(quapy.method.neural.QuaNetTrainer method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.quantify">(quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation method)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.model_selection.GridSearchQ.quantify">(quapy.model_selection.GridSearchQ method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy
|
|
|
|
<ul>
|
|
<li><a href="quapy.html#module-quapy">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.classification
|
|
|
|
<ul>
|
|
<li><a href="quapy.classification.html#module-quapy.classification">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.classification.methods
|
|
|
|
<ul>
|
|
<li><a href="quapy.classification.html#module-quapy.classification.methods">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.classification.neural
|
|
|
|
<ul>
|
|
<li><a href="quapy.classification.html#module-quapy.classification.neural">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.classification.svmperf
|
|
|
|
<ul>
|
|
<li><a href="quapy.classification.html#module-quapy.classification.svmperf">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.data
|
|
|
|
<ul>
|
|
<li><a href="quapy.data.html#module-quapy.data">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.data.base
|
|
|
|
<ul>
|
|
<li><a href="quapy.data.html#module-quapy.data.base">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.data.datasets
|
|
|
|
<ul>
|
|
<li><a href="quapy.data.html#module-quapy.data.datasets">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.data.preprocessing
|
|
|
|
<ul>
|
|
<li><a href="quapy.data.html#module-quapy.data.preprocessing">module</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li>
|
|
quapy.data.reader
|
|
|
|
<ul>
|
|
<li><a href="quapy.data.html#module-quapy.data.reader">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.error
|
|
|
|
<ul>
|
|
<li><a href="quapy.html#module-quapy.error">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.evaluation
|
|
|
|
<ul>
|
|
<li><a href="quapy.html#module-quapy.evaluation">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.functional
|
|
|
|
<ul>
|
|
<li><a href="quapy.html#module-quapy.functional">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.method
|
|
|
|
<ul>
|
|
<li><a href="quapy.method.html#module-quapy.method">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.method.aggregative
|
|
|
|
<ul>
|
|
<li><a href="quapy.method.html#module-quapy.method.aggregative">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.method.base
|
|
|
|
<ul>
|
|
<li><a href="quapy.method.html#module-quapy.method.base">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.method.meta
|
|
|
|
<ul>
|
|
<li><a href="quapy.method.html#module-quapy.method.meta">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.method.neural
|
|
|
|
<ul>
|
|
<li><a href="quapy.method.html#module-quapy.method.neural">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.method.non_aggregative
|
|
|
|
<ul>
|
|
<li><a href="quapy.method.html#module-quapy.method.non_aggregative">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.model_selection
|
|
|
|
<ul>
|
|
<li><a href="quapy.html#module-quapy.model_selection">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.plot
|
|
|
|
<ul>
|
|
<li><a href="quapy.html#module-quapy.plot">module</a>
|
|
</li>
|
|
</ul></li>
|
|
<li>
|
|
quapy.util
|
|
|
|
<ul>
|
|
<li><a href="quapy.html#module-quapy.util">module</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="R">R</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.html#quapy.error.rae">rae() (in module quapy.error)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.preprocessing.reduce_columns">reduce_columns() (in module quapy.data.preprocessing)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.data.html#quapy.data.reader.reindex_labels">reindex_labels() (in module quapy.data.reader)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.error.relative_absolute_error">relative_absolute_error() (in module quapy.error)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.NeuralClassifierTrainer.reset_net_params">reset_net_params() (quapy.classification.neural.NeuralClassifierTrainer method)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
|
<h2 id="S">S</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.sampling">sampling() (quapy.data.base.LabelledCollection method)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.sampling_from_index">sampling_from_index() (quapy.data.base.LabelledCollection method)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.sampling_index">sampling_index() (quapy.data.base.LabelledCollection method)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.util.save_text_file">save_text_file() (in module quapy.util)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.error.se">se() (in module quapy.error)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.methods.LowRankLogisticRegression.set_params">set_params() (quapy.classification.methods.LowRankLogisticRegression method)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.classification.html#quapy.classification.neural.NeuralClassifierTrainer.set_params">(quapy.classification.neural.NeuralClassifierTrainer method)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.svmperf.SVMperf.set_params">(quapy.classification.svmperf.SVMperf method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeProbabilisticQuantifier.set_params">(quapy.method.aggregative.AggregativeProbabilisticQuantifier method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.AggregativeQuantifier.set_params">(quapy.method.aggregative.AggregativeQuantifier method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.OneVsAll.set_params">(quapy.method.aggregative.OneVsAll method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.base.BaseQuantifier.set_params">(quapy.method.base.BaseQuantifier method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.meta.Ensemble.set_params">(quapy.method.meta.Ensemble method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.neural.QuaNetTrainer.set_params">(quapy.method.neural.QuaNetTrainer method)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.set_params">(quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation method)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.model_selection.GridSearchQ.set_params">(quapy.model_selection.GridSearchQ method)</a>
|
|
</li>
|
|
</ul></li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.SLD">SLD (in module quapy.method.aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.html#quapy.error.smooth">smooth() (in module quapy.error)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.ACC.solve_adjustment">solve_adjustment() (quapy.method.aggregative.ACC class method)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.split_stratified">split_stratified() (quapy.data.base.LabelledCollection method)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.base.Dataset.SplitStratified">SplitStratified() (quapy.data.base.Dataset class method)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.preprocessing.standardize">standardize() (in module quapy.data.preprocessing)</a>
|
|
</li>
|
|
<li><a href="quapy.data.html#quapy.data.base.Dataset.stats">stats() (quapy.data.base.Dataset method)</a>
|
|
|
|
<ul>
|
|
<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.stats">(quapy.data.base.LabelledCollection method)</a>
|
|
</li>
|
|
</ul></li>
|
|
<li><a href="quapy.html#quapy.functional.strprev">strprev() (in module quapy.functional)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.SVMAE">SVMAE (class in quapy.method.aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.SVMKLD">SVMKLD (class in quapy.method.aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.method.html#quapy.method.aggregative.SVMNKLD">SVMNKLD (class in quapy.method.aggregative)</a>
|
|
</li>
|
|
<li><a href="quapy.classification.html#quapy.classification.svmperf.SVMperf">SVMperf (class in quapy.classification.svmperf)</a>
|
|
</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.SVMQ">SVMQ (class in quapy.method.aggregative)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.aggregative.SVMRAE">SVMRAE (class in quapy.method.aggregative)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="T">T</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.method.html#quapy.method.aggregative.T50">T50 (class in quapy.method.aggregative)</a>
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</li>
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<li><a href="quapy.html#quapy.util.temp_seed">temp_seed() (in module quapy.util)</a>
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</li>
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<li><a href="quapy.data.html#quapy.data.preprocessing.text2tfidf">text2tfidf() (in module quapy.data.preprocessing)</a>
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</li>
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<li><a href="quapy.classification.html#quapy.classification.neural.TextClassifierNet">TextClassifierNet (class in quapy.classification.neural)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.method.html#quapy.method.aggregative.ThresholdOptimization">ThresholdOptimization (class in quapy.method.aggregative)</a>
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</li>
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<li><a href="quapy.classification.html#quapy.classification.neural.TorchDataset">TorchDataset (class in quapy.classification.neural)</a>
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</li>
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<li><a href="quapy.classification.html#quapy.classification.methods.LowRankLogisticRegression.transform">transform() (quapy.classification.methods.LowRankLogisticRegression method)</a>
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<ul>
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<li><a href="quapy.classification.html#quapy.classification.neural.NeuralClassifierTrainer.transform">(quapy.classification.neural.NeuralClassifierTrainer method)</a>
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</li>
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<li><a href="quapy.data.html#quapy.data.preprocessing.IndexTransformer.transform">(quapy.data.preprocessing.IndexTransformer method)</a>
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</li>
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</ul></li>
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</ul></td>
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</tr></table>
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<h2 id="U">U</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.html#quapy.functional.uniform_prevalence_sampling">uniform_prevalence_sampling() (in module quapy.functional)</a>
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</li>
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<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.uniform_sampling">uniform_sampling() (quapy.data.base.LabelledCollection method)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.uniform_sampling_index">uniform_sampling_index() (quapy.data.base.LabelledCollection method)</a>
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</li>
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<li><a href="quapy.html#quapy.functional.uniform_simplex_sampling">uniform_simplex_sampling() (in module quapy.functional)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="V">V</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.classification.html#quapy.classification.svmperf.SVMperf.valid_losses">valid_losses (quapy.classification.svmperf.SVMperf attribute)</a>
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</li>
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<li><a href="quapy.method.html#quapy.method.meta.Ensemble.VALID_POLICIES">VALID_POLICIES (quapy.method.meta.Ensemble attribute)</a>
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</li>
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<li><a href="quapy.classification.html#quapy.classification.neural.CNNnet.vocabulary_size">vocabulary_size (quapy.classification.neural.CNNnet property)</a>
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<ul>
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<li><a href="quapy.classification.html#quapy.classification.neural.LSTMnet.vocabulary_size">(quapy.classification.neural.LSTMnet property)</a>
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</li>
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<li><a href="quapy.classification.html#quapy.classification.neural.TextClassifierNet.vocabulary_size">(quapy.classification.neural.TextClassifierNet property)</a>
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</li>
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<li><a href="quapy.data.html#quapy.data.base.Dataset.vocabulary_size">(quapy.data.base.Dataset property)</a>
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</li>
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</ul></li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.data.html#quapy.data.preprocessing.IndexTransformer.vocabulary_size">vocabulary_size() (quapy.data.preprocessing.IndexTransformer method)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="W">W</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.data.html#quapy.data.datasets.warn">warn() (in module quapy.data.datasets)</a>
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</li>
|
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</ul></td>
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</tr></table>
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|
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<h2 id="X">X</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.method.html#quapy.method.aggregative.X">X (class in quapy.method.aggregative)</a>
|
|
</li>
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</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="quapy.classification.html#quapy.classification.neural.TextClassifierNet.xavier_uniform">xavier_uniform() (quapy.classification.neural.TextClassifierNet method)</a>
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</li>
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<li><a href="quapy.data.html#quapy.data.base.LabelledCollection.Xy">Xy (quapy.data.base.LabelledCollection property)</a>
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</li>
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</ul></td>
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</tr></table>
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