def visualize_spe(features, labels):
from modshogun import StochasticProximityEmbedding, SPE_GLOBAL
converter = StochasticProximityEmbedding()
converter.set_strategy(SPE_GLOBAL)
converter.set_k(10)
converter.set_target_dim(2)
converter.set_nupdates(40)
embedding = converter.embed(features)
plot_data(embedding.get_feature_matrix(), labels.get_labels())
pyplot.show()
def visualize_spe(features,labels): from modshogun import StochasticProximityEmbedding, SPE_GLOBAL converter = StochasticProximityEmbedding() converter.set_strategy(SPE_GLOBAL) converter.set_k(10) converter.set_target_dim(2) converter.set_nupdates(40); embedding = converter.embed(features) plot_data(embedding.get_feature_matrix(),labels.get_labels()) pyplot.show()
def converter_stochasticproximityembedding_modular (data_fname, k):
try:
from modshogun import RealFeatures,StochasticProximityEmbedding, SPE_GLOBAL, SPE_LOCAL, CSVFile
features = RealFeatures(CSVFile(data_fname))
converter = StochasticProximityEmbedding()
converter.set_target_dim(1)
converter.set_nupdates(40)
# Embed with local strategy
converter.set_k(k)
converter.set_strategy(SPE_LOCAL)
converter.embed(features)
# Embed with global strategy
converter.set_strategy(SPE_GLOBAL)
converter.embed(features)
return features
except ImportError:
print('No Eigen3 available')
def converter_stochasticproximityembedding_modular (data_fname, k):
try:
from modshogun import RealFeatures,StochasticProximityEmbedding, SPE_GLOBAL, SPE_LOCAL, CSVFile
features = RealFeatures(CSVFile(data_fname))
converter = StochasticProximityEmbedding()
converter.set_target_dim(1)
converter.set_nupdates(40)
# Embed with local strategy
converter.set_k(k)
converter.set_strategy(SPE_LOCAL)
converter.embed(features)
# Embed with global strategy
converter.set_strategy(SPE_GLOBAL)
converter.embed(features)
return features
except ImportError:
print('No Eigen3 available')
