def __init__(self): OWDataProjectionWidget.__init__(self) ConcurrentWidgetMixin.__init__(self) self.pca_projection = None # type: Optional[Table] self.initialization = None # type: Optional[np.ndarray] self.affinities = None # type: Optional[openTSNE.affinity.Affinities] self.tsne_embedding = None # type: Optional[manifold.TSNEModel] self.iterations_done = 0 # type: int
def __init__(self): self.dbscan_box: QWidget = None self.gmm_box: QWidget = None self.var_box: QWidget = None OWDataProjectionWidget.__init__(self) ConcurrentWidgetMixin.__init__(self) self.clusters: Optional[_Clusters] = None self.enable_controls() self._invalidate_clusters()
def __init__(self): OWDataProjectionWidget.__init__(self) ConcurrentWidgetMixin.__init__(self) # inputs self.reference_data = None # type: Optional[Table] self.secondary_data = None # type: Optional[Table] self.genes = None # type: Optional[Table] # annotations self.scores = None # type: OWAnnotateProjection.Scores self.clusters = None # type: OWAnnotateProjection.Clusters self.__invalidate_scores() self.__invalidate_clusters()
def __init__(self): OWDataProjectionWidget.__init__(self) ConcurrentWidgetMixin.__init__(self) #: Input dissimilarity matrix self.matrix = None # type: Optional[DistMatrix] #: Data table from the `self.matrix.row_items` (if present) self.matrix_data = None # type: Optional[Table] #: Input data table self.signal_data = None self.embedding = None # type: Optional[np.ndarray] self.effective_matrix = None # type: Optional[DistMatrix] self.graph.pause_drawing_pairs() self.size_model = self.gui.points_models[2] self.size_model.order = \ self.gui.points_models[2].order[:1] \ + ("Stress", ) + \ self.gui.points_models[2].order[1:]
def __init__(self): OWDataProjectionWidget.__init__(self) ConcurrentWidgetMixin.__init__(self) self.embedding = None # type: Optional[np.ndarray]