def exportTransform(self, experiment, instances, projected_instances):
UnsupervisedProjection.exportTransform(self, experiment, instances,
projected_instances)
self.exportReconstructionErrors(experiment, instances,
projected_instances)
def transform(self, instances):
projected_instances = UnsupervisedProjection.transform(self, instances)
return projected_instances
def exportFit(self, experiment, instances):
UnsupervisedProjection.exportFit(self, experiment, instances)
self.exportExplainedVariance(experiment)
self.exportCumuledExplainedVariance(experiment)
def fit(self, instances):
UnsupervisedProjection.fit(self, instances)
def __init__(self, conf):
UnsupervisedProjection.__init__(self, conf)
self.projection = decomposition.PCA(n_components=conf.num_components)
def transform(self, instances, visu=True, performance=False):
projected_instances = UnsupervisedProjection.transform(
self, instances, visu=visu, performance=performance)
if visu:
self.printReconstructionErrorsCSV(instances, projected_instances)
return projected_instances
def fit(self, instances, visu=True):
UnsupervisedProjection.fit(self, instances, visu=visu)
if visu:
self.printExplainedVarianceCSV()
self.printCumuledExplainedVarianceCSV()
def __init__(self, experiment):
UnsupervisedProjection.__init__(self, experiment)
self.projection = decomposition.PCA(n_components=self.num_components)