def static_k_semisynthetic_test_paper_2():
console.write_header("Loading Native symbols")
symbolClasses = loader.load_native_xls()
console.write_header("Loading Foreign symbols")
foreignClasses = loader.load_foreign_xls()
util.global_variables.CLASS_NUM = len(symbolClasses)
util.global_variables.CHAR_NUM = len(symbolClasses[0].learning_set[0].characteristicsValues)
Clusterer().computeClusters(symbolClasses)
paper2.compute(symbolClasses, foreignClasses)
def real_data():
console.write_header("Loading Native symbols")
symbolClasses = loader.load_native_xls()
console.write_header("Loading Foreign symbols")
foreignClasses = loader.load_foreign_xls()
util.global_variables.CLASS_NUM = len(symbolClasses)
util.global_variables.CHAR_NUM = len(symbolClasses[0].learning_set[0].characteristicsValues)
for c in range(0, util.global_variables.CLASS_NUM):
console.write_header("Computing Cluster Evaluation")
best_k = ps.cluster_evaluation(util.global_variables.MAX_K_CLUS_EVALUATION, symbolClasses[c:c+1])
util.global_variables.K = best_k[0]
console.write_header("Computing Clusters with K:", str(util.global_variables.K))
Clusterer().computeClusters(symbolClasses[c:c+1])
console.write_header(" Synthetic Data Calculations")
synth_calc.ambiguity_for_different_radiuses_real_data(symbolClasses[:], foreignClasses)
def synthetic_test_paper_2():
# CREATE CHAR_NUM CHARACTERISTICS
console.write_header("Creating Characteristics")
characteristics = []
data.generate_characteristic(characteristics)
# CREATE CLASS_NUM SYMBOL CLASSES
console.write_header(" Creating Symbol Classes")
symbolClasses = []
data.generate_symbol_classes(symbolClasses, characteristics)
# CREATE CLOUD DISTORTION IN NATIVE SET
console.write_header("Computing K cloud Distortion")
Distorter().create_cluster_assessment_cloud(util.global_variables.K_CLOUD_DISTORTION,symbolClasses)
#Distorter().create_k_clouds(util.global_variables.K_CLOUD_DISTORTION,symbolClasses)
util.global_variables.K = 2
Clusterer().computeClusters(symbolClasses[:])
Plot3D().renderPlot(symbolClasses)
util.global_variables.K = 1
Clusterer().computeClusters(symbolClasses[:])
Plot3D().renderPlot(symbolClasses)
util.global_variables.K = 3
Clusterer().computeClusters(symbolClasses[:])
Plot3D().renderPlot(symbolClasses)
def semisynthetic_test_paper_1():
console.write_header("Loading Native symbols")
symbolClasses = loader.load_native_xls()
console.write_header("Loading Foreign symbols")
foreignClasses = loader.load_foreign_xls()
util.global_variables.CLASS_NUM = len(symbolClasses)
util.global_variables.CHAR_NUM = len(symbolClasses[0].learning_set[0].characteristicsValues)
# CREATE ELLIPSOIDS AND CUBOIDS FOR EACH LEARNING SET
console.write_header("Generating Convex and Compact Sets")
membership = BasicMembership(symbolClasses, False)
membership.shrink_objects(0) # just to write to he file
for i in range(0,5):
# Check native
membership.check_natives_ellipsoid_proper(symbolClasses[:],"foreign_REAL","foreign_REAL")
membership.check_natives_cuboid_proper(symbolClasses[:],"foreign_REAL","foreign_REAL")
# Check foreign
membership.check_foreign_ellipsoid(foreignClasses, "foreign_REAL")
membership.check_foreign_cuboids(foreignClasses, "foreign_REAL")
# Shrink
if i != 4:
membership.shrink_objects(5)
def grouping_assessment():
# CREATE CHAR_NUM CHARACTERISTICS
console.write_header("Creating Characteristics")
characteristics = []
data.generate_characteristic(characteristics)
# CREATE CLASS_NUM SYMBOL CLASSES
console.write_header(" Creating Symbol Classes")
symbolClasses = []
data.generate_symbol_classes(symbolClasses, characteristics)
console.write_header("Computing K cloud Distortion")
#Distorter().create_k_clouds(util.global_variables.K_CLOUD_DISTORTION,symbolClasses)
Distorter().create_non_homogeneus_cloud(symbolClasses)
console.write_header("Computing Cluster Evaluation")
ps.cluster_evaluation(util.global_variables.MAX_K_CLUS_EVALUATION,symbolClasses)
def semisynthetic_test_paper_2():
console.write_header("Loading Native symbols")
symbolClasses = loader.load_native_xls()
console.write_header("Loading Foreign symbols")
foreignClasses = loader.load_foreign_xls()
util.global_variables.CLASS_NUM = len(symbolClasses)
util.global_variables.CHAR_NUM = len(symbolClasses[0].learning_set[0].characteristicsValues)
# COMPUTE CLUSTER EVALUATION
for c in range(0, util.global_variables.CLASS_NUM):
console.write_header("Computing Cluster Evaluation")
best_k = ps.cluster_evaluation(util.global_variables.MAX_K_CLUS_EVALUATION, symbolClasses[c:c+1])
util.global_variables.K = best_k[0]
console.write_header("Computing Clusters with K:", str(util.global_variables.K))
Clusterer().computeClusters(symbolClasses[c:c+1])
paper2.compute(symbolClasses, foreignClasses)
def full_test():
# CREATE CHAR_NUM CHARACTERISTICS
console.write_header("Creating Characteristics")
characteristics = []
data.generate_characteristic(characteristics)
# CREATE CLASS_NUM SYMBOL CLASSES
console.write_header(" Creating Symbol Classes")
symbolClasses = []
data.generate_symbol_classes(symbolClasses, characteristics)
console.write_header("Computing Homogeneous Distortion")
Distorter().create_homogeneus_cloud(symbolClasses)
for c in range(0, util.global_variables.CLASS_NUM):
console.write_header("Computing Cluster Evaluation")
best_k = ps.cluster_evaluation(util.global_variables.MAX_K_CLUS_EVALUATION, symbolClasses[c:c+1])
util.global_variables.K = best_k[0]
console.write_header("Computing Clusters with K:", str(util.global_variables.K))
Clusterer().computeClusters(symbolClasses[c:c+1])
console.write_header("Creating Non Homogeneous Foreign")
foreignClassesNonHomo = f_creator.create_non_homogeneous_foreign(symbolClasses)
console.write_header("Creating Homogeneous Foreign")
foreignClassesHomo = f_creator.create_homogeneous_foreign(symbolClasses, characteristics)
console.write_header(" Synthetic Data Calculations")
synth_calc.ambiguity_for_different_radiuses(symbolClasses[:], foreignClassesHomo, foreignClassesNonHomo)
def synthetic_homo_native():
# CREATE CHAR_NUM CHARACTERISTICS
console.write_header("Creating Characteristics")
characteristics = []
data.generate_characteristic(characteristics)
# CREATE CLASS_NUM SYMBOL CLASSES
console.write_header(" Creating Symbol Classes")
symbolClasses = []
data.generate_symbol_classes(symbolClasses, characteristics)
# Distortion
console.write_header("Computing Homogeneous Distortion")
Distorter().create_homogeneus_cloud(symbolClasses)
# Clustering
console.write_header("Computing Clusters")
Clusterer().computeClusters(symbolClasses[:util.global_variables.CLASS_NUM])
# Plot3D
console.write_header(" Displaying Plot")
Plot3D().renderPlot(symbolClasses[:util.global_variables.CLASS_NUM])
# Generating Foreign classes
console.write_header("Creating Non Homogeneous Foreign")
foreignClassesNonHomo = f_creator.create_non_homogeneous_foreign(symbolClasses)
console.write_header("Creating Homogeneous Foreign")
foreignClassesHomo = f_creator.create_homogeneous_foreign(symbolClasses, characteristics)
# Radiuses
console.write_header(" Synthetic Data Calculations")
synth_calc.ambiguity_for_different_radiuses(symbolClasses[:], foreignClassesHomo, foreignClassesNonHomo)
def synthetic_test_paper_1():
# CREATE CHAR_NUM CHARACTERISTICS
console.write_header("Creating Characteristics")
characteristics = []
data.generate_characteristic(characteristics)
# CREATE CLASS_NUM SYMBOL CLASSES
console.write_header(" Creating Symbol Classes")
symbolClasses = []
data.generate_symbol_classes(symbolClasses, characteristics)
# DISTORTION (UNIFORM)
console.write_header("Computing Homogeneous Distortion")
Distorter().create_homogeneus_cloud(symbolClasses)
# FOREIGN HOMOGENEOUS
console.write_header("Creating Homogeneous Foreign")
foreignClassesHomo = f_creator.create_homogeneous_foreign(symbolClasses, characteristics)
# FOREIGN NON-HOMOGENEOUS
console.write_header("Creating Non Homogeneous Foreign")
foreignClassesNonHomo = f_creator.create_non_homogeneous_foreign(symbolClasses)
# CREATE ELLIPSOIDS AND CUBOIDS FOR EACH LEARNING SET
console.write_header("Generating Convex and Compact Sets")
membership = BasicMembership(symbolClasses)
membership.shrink_objects(0) # just to write to he file
plot = Plot2D()
plot.renderPlot(symbolClasses, membership, ObjectType.ELLIPSOID)
plot.renderPlot(symbolClasses, membership, ObjectType.CUBOID)
for i in range(0,5):
# Check native
membership.check_natives_ellipsoid_proper(symbolClasses[:],"foreign_homo","foreign_non_homo")
membership.check_natives_cuboid_proper(symbolClasses[:],"foreign_homo","foreign_non_homo")
# Check foreign
membership.check_foreign_ellipsoid(foreignClassesHomo, "foreign_homo")
membership.check_foreign_ellipsoid(foreignClassesNonHomo, "foreign_non_homo")
membership.check_foreign_cuboids(foreignClassesHomo, "foreign_homo")
membership.check_foreign_cuboids(foreignClassesNonHomo, "foreign_non_homo")
# Shrink
if i != 4:
membership.shrink_objects(5)
plot.renderPlot(symbolClasses, membership, ObjectType.ELLIPSOID)
plot.renderPlot(symbolClasses, membership, ObjectType.CUBOID)
import util.console as console
import sys
# CHECK ARGUMENTS
console.parse_argv(sys.argv[1:])
import util.global_variables
import test_templates as tests
# RUN CONFIGS
console.write_header("Run configuration")
console.print_config()
'''
Native symbols: synthetic; homogeneous;
Foreign symbols: synthetic; homogeneous and non-homogeneous
'''
if util.global_variables.TEST_TYPE == util.global_variables.TestType.SYNTHETIC_HOMO_NATIVE:
tests.synthetic_homo_native()
if util.global_variables.TEST_TYPE == util.global_variables.TestType.GROUPING_ASSESSMENT:
tests.grouping_assessment()
if util.global_variables.TEST_TYPE == util.global_variables.TestType.FULL:
tests.full_test()
if util.global_variables.TEST_TYPE == util.global_variables.TestType.REAL_DATA:
tests.real_data()
if util.global_variables.TEST_TYPE == util.global_variables.TestType.REAL_DATA_STATIC_K:
tests.real_data_static_k()