Python PreloadedKernelMatrixSvdAdapter 예제들

예제 #1

 def loadResources(self):
     #THE GREAT MONOLITH!!!
     if self.resource_pool.has_key(data_sources.KMATRIX):
         self.svdad = PreloadedKernelMatrixSvdAdapter.createAdapter(
             **self.resource_pool)
     else:
         if not self.resource_pool.has_key(data_sources.KERNEL_OBJ):
             if not self.resource_pool.has_key("kernel"):
                 self.resource_pool["kernel"] = "LinearKernel"
             self.resource_pool[
                 data_sources.
                 KERNEL_OBJ] = creators.createKernelByModuleName(
                     **self.resource_pool)
         if isinstance(self.resource_pool[data_sources.KERNEL_OBJ],
                       LinearKernel):
             self.svdad = LinearSvdAdapter.createAdapter(
                 **self.resource_pool)
         else:
             self.svdad = SvdAdapter.createAdapter(**self.resource_pool)
     self.svals = self.svdad.svals
     self.svecs = self.svdad.rsvecs
     if not self.resource_pool.has_key(
             data_sources.TIKHONOV_REGULARIZATION_PARAMETER):
         self.resource_pool[
             data_sources.TIKHONOV_REGULARIZATION_PARAMETER] = 1.

예제 #2

파일: creators.py 프로젝트: disc5/RLScore

def createSVDAdapter(X, kernel="LinearKernel", **kwargs):
        kwargs[KERNEL_NAME] = kernel
        if kernel == "PrecomputedKernel":
            kwargs["kernel_matrix"] = X
            svdad = PreloadedKernelMatrixSvdAdapter.createAdapter(**kwargs)        
        else:
            kwargs['X'] = X
            kwargs['kernel_obj'] = createKernelByModuleName(**kwargs)
            if isinstance(kwargs['kernel_obj'], LinearKernel):
                svdad = LinearSvdAdapter.createAdapter(**kwargs)
            else:
                svdad = SvdAdapter.createAdapter(**kwargs)
        return svdad

예제 #3

파일: creators.py 프로젝트: peknau/RLScore

def createSVDAdapter(**kwargs):
    if kwargs.has_key(KERNEL_NAME):
        kernel = createKernelByModuleName(**kwargs)
        kwargs[data_sources.KERNEL_OBJ] = kernel
    if kwargs.has_key(data_sources.KMATRIX):
        svdad = PreloadedKernelMatrixSvdAdapter.createAdapter(**kwargs)
    else:
        if not kwargs.has_key(data_sources.KERNEL_OBJ):
            if not kwargs.has_key("kernel"):
                kwargs["kernel"] = "LinearKernel"
            kwargs[data_sources.KERNEL_OBJ] = createKernelByModuleName(**kwargs)
        if isinstance(kwargs[data_sources.KERNEL_OBJ], LinearKernel):
            svdad = LinearSvdAdapter.createAdapter(**kwargs)
        else:
            svdad = SvdAdapter.createAdapter(**kwargs)   
    return svdad

예제 #4

파일: creators.py 프로젝트: StevenLOL/RLScore

def createSVDAdapter(**kwargs):
    if kwargs.has_key(KERNEL_NAME):
        kernel = createKernelByModuleName(**kwargs)
        kwargs['kernel_obj'] = kernel
    if kwargs.has_key('kernel_matrix'):
        svdad = PreloadedKernelMatrixSvdAdapter.createAdapter(**kwargs)
    else:
        if not kwargs.has_key('kernel_obj'):
            if not kwargs.has_key("kernel"):
                kwargs["kernel"] = "LinearKernel"
            kwargs['kernel_obj'] = createKernelByModuleName(**kwargs)
        if isinstance(kwargs['kernel_obj'], LinearKernel):
            svdad = LinearSvdAdapter.createAdapter(**kwargs)
        else:
            svdad = SvdAdapter.createAdapter(**kwargs)   
    return svdad

예제 #5

def createSVDAdapter(**kwargs):
    if kwargs.has_key(KERNEL_NAME):
        kernel = createKernelByModuleName(**kwargs)
        kwargs['kernel_obj'] = kernel
    if kwargs.has_key('kernel_matrix'):
        svdad = PreloadedKernelMatrixSvdAdapter.createAdapter(**kwargs)
    else:
        if not kwargs.has_key('kernel_obj'):
            if not kwargs.has_key("kernel"):
                kwargs["kernel"] = "LinearKernel"
            kwargs['kernel_obj'] = createKernelByModuleName(**kwargs)
        if isinstance(kwargs['kernel_obj'], LinearKernel):
            svdad = LinearSvdAdapter.createAdapter(**kwargs)
        else:
            svdad = SvdAdapter.createAdapter(**kwargs)
    return svdad

예제 #6

파일: abstract_learner.py 프로젝트: peknau/RLScore

 def loadResources(self):
     # THE GREAT MONOLITH!!!
     if self.resource_pool.has_key(data_sources.KMATRIX):
         self.svdad = PreloadedKernelMatrixSvdAdapter.createAdapter(**self.resource_pool)
     else:
         if not self.resource_pool.has_key(data_sources.KERNEL_OBJ):
             if not self.resource_pool.has_key("kernel"):
                 self.resource_pool["kernel"] = "LinearKernel"
             self.resource_pool[data_sources.KERNEL_OBJ] = creators.createKernelByModuleName(**self.resource_pool)
         if isinstance(self.resource_pool[data_sources.KERNEL_OBJ], LinearKernel):
             self.svdad = LinearSvdAdapter.createAdapter(**self.resource_pool)
         else:
             self.svdad = SvdAdapter.createAdapter(**self.resource_pool)
     self.svals = self.svdad.svals
     self.svecs = self.svdad.rsvecs
     if not self.resource_pool.has_key(data_sources.TIKHONOV_REGULARIZATION_PARAMETER):
         self.resource_pool[data_sources.TIKHONOV_REGULARIZATION_PARAMETER] = 1.0

예제 #7

파일: creators.py 프로젝트: peknau/RLScore

def createSVDAdapter(**kwargs):
    if kwargs.has_key(KERNEL_NAME):
        kernel = createKernelByModuleName(**kwargs)
        kwargs[data_sources.KERNEL_OBJ] = kernel
    if kwargs.has_key(data_sources.KMATRIX):
        svdad = PreloadedKernelMatrixSvdAdapter.createAdapter(**kwargs)
    else:
        if not kwargs.has_key(data_sources.KERNEL_OBJ):
            if not kwargs.has_key("kernel"):
                kwargs["kernel"] = "LinearKernel"
            kwargs[data_sources.KERNEL_OBJ] = createKernelByModuleName(
                **kwargs)
        if isinstance(kwargs[data_sources.KERNEL_OBJ], LinearKernel):
            svdad = LinearSvdAdapter.createAdapter(**kwargs)
        else:
            svdad = SvdAdapter.createAdapter(**kwargs)
    return svdad

예제 #8

파일: abstract_learner.py 프로젝트: StevenLOL/RLScore

 def __init__(self, **kwargs):
     super(AbstractSvdLearner, self).__init__(**kwargs)
     #THE GREAT SVD MONOLITH!!!
     if kwargs.has_key('kernel_matrix'):
         self.svdad = PreloadedKernelMatrixSvdAdapter.createAdapter(**kwargs)
     else:
         if not kwargs.has_key('kernel_obj'):
             if not kwargs.has_key("kernel"):
                 kwargs["kernel"] = "LinearKernel"
             kwargs['kernel_obj'] = creators.createKernelByModuleName(**kwargs)
         if isinstance(kwargs['kernel_obj'], LinearKernel):
             self.svdad = LinearSvdAdapter.createAdapter(**kwargs)
         else:
             self.svdad = SvdAdapter.createAdapter(**kwargs)
     self.svals = self.svdad.svals
     self.svecs = self.svdad.rsvecs
     #if not kwargs.has_key('regparam'):
     #    kwargs['regparam'] = 1.
     self.size = self.svecs.shape[0]

예제 #9

 def __init__(self, **kwargs):
     super(AbstractSvdLearner, self).__init__(**kwargs)
     #THE GREAT SVD MONOLITH!!!
     if kwargs.has_key('kernel_matrix'):
         self.svdad = PreloadedKernelMatrixSvdAdapter.createAdapter(
             **kwargs)
     else:
         if not kwargs.has_key('kernel_obj'):
             if not kwargs.has_key("kernel"):
                 kwargs["kernel"] = "LinearKernel"
             kwargs['kernel_obj'] = creators.createKernelByModuleName(
                 **kwargs)
         if isinstance(kwargs['kernel_obj'], LinearKernel):
             self.svdad = LinearSvdAdapter.createAdapter(**kwargs)
         else:
             self.svdad = SvdAdapter.createAdapter(**kwargs)
     self.svals = self.svdad.svals
     self.svecs = self.svdad.rsvecs
     #if not kwargs.has_key('regparam'):
     #    kwargs['regparam'] = 1.
     self.size = self.svecs.shape[0]