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Commit 429b4f63 authored by Dominique Benielli's avatar Dominique Benielli
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renaming

parent 9b0f1735
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with 102 additions and 18 deletions
from . import exec_classif, result_analysis, metrics, monoview_classifiers, \ from . import exec_classif, result_analysis, metrics, monoview_classifiers, \
monoview, multiview, utils, multiview_classifiers monoview, multiview, utils, multiview_classifiers
__all__ = ['Metrics', 'Monoview', 'MonoviewClassifiers', 'Multiview', 'utils'] __all__ = ['metrics', 'monoview', 'monoview_classifiers', 'multiview', 'utils']
...@@ -13,7 +13,7 @@ import h5py ...@@ -13,7 +13,7 @@ import h5py
import numpy as np # for reading CSV-files and Series import numpy as np # for reading CSV-files and Series
from . import monoview_utils from . import monoview_utils
from .analyzeResult import execute from .analyze_result import execute
# Import own modules # Import own modules
from .. import monoview_classifiers from .. import monoview_classifiers
from ..utils.dataset import getValue, extractSubset from ..utils.dataset import getValue, extractSubset
......
from ...multiview import analyzeResults from ...multiview import analyze_results
# Author-Info # Author-Info
__author__ = "Baptiste Bauvin" __author__ = "Baptiste Bauvin"
...@@ -12,7 +12,7 @@ def execute(classifier, trainLabels, ...@@ -12,7 +12,7 @@ def execute(classifier, trainLabels,
name, KFolds, name, KFolds,
hyperParamSearch, nIter, metrics, hyperParamSearch, nIter, metrics,
viewsIndices, randomState, labels, classifierModule): viewsIndices, randomState, labels, classifierModule):
return analyzeResults.execute(classifier, trainLabels, return analyze_results.execute(classifier, trainLabels,
testLabels, DATASET, testLabels, DATASET,
classificationKWARGS, classificationIndices, classificationKWARGS, classificationIndices,
LABELS_DICTIONARY, views, nbCores, times, LABELS_DICTIONARY, views, nbCores, times,
......
import numpy as np import numpy as np
from ...multiview.Additions import diversity_utils from ...multiview.additions import diversity_utils
def genName(config): def genName(config):
......
from . import DisagreeFusionModule,analyzeResults from . import disagree_fusion,analyze_results
\ No newline at end of file \ No newline at end of file
from ...multiview import analyzeResults from ...multiview import analyze_results
# Author-Info # Author-Info
__author__ = "Baptiste Bauvin" __author__ = "Baptiste Bauvin"
...@@ -12,7 +12,7 @@ def execute(classifier, trainLabels, ...@@ -12,7 +12,7 @@ def execute(classifier, trainLabels,
name, KFolds, name, KFolds,
hyperParamSearch, nIter, metrics, hyperParamSearch, nIter, metrics,
viewsIndices, randomState, labels, classifierModule): viewsIndices, randomState, labels, classifierModule):
return analyzeResults.execute(classifier, trainLabels, return analyze_results.execute(classifier, trainLabels,
testLabels, DATASET, testLabels, DATASET,
classificationKWARGS, classificationIndices, classificationKWARGS, classificationIndices,
LABELS_DICTIONARY, views, nbCores, times, LABELS_DICTIONARY, views, nbCores, times,
......
import numpy as np import numpy as np
from ...multiview.Additions import diversity_utils from ...multiview.additions import diversity_utils
def genName(config): def genName(config):
......
from . import analyzeResults, DoubleFaultFusionModule from . import analyze_results, double_fault_fusion
\ No newline at end of file \ No newline at end of file
from ...multiview import analyzeResults from ...multiview import analyze_results
# Author-Info # Author-Info
__author__ = "Baptiste Bauvin" __author__ = "Baptiste Bauvin"
...@@ -12,7 +12,7 @@ def execute(classifier, trainLabels, ...@@ -12,7 +12,7 @@ def execute(classifier, trainLabels,
name, KFolds, name, KFolds,
hyperParamSearch, nIter, metrics, hyperParamSearch, nIter, metrics,
viewsIndices, randomState, labels, classifierModule): viewsIndices, randomState, labels, classifierModule):
return analyzeResults.execute(classifier, trainLabels, return analyze_results.execute(classifier, trainLabels,
testLabels, DATASET, testLabels, DATASET,
classificationKWARGS, classificationIndices, classificationKWARGS, classificationIndices,
LABELS_DICTIONARY, views, nbCores, times, LABELS_DICTIONARY, views, nbCores, times,
......
import numpy as np import numpy as np
from ...multiview.Additions import diversity_utils from ...multiview.additions import diversity_utils
def genName(config): def genName(config):
......
from . import analyzeResults, EntropyFusionModule from . import analyze_results, entropy_fusion
\ No newline at end of file \ No newline at end of file
from ...multiview import analyzeResults from ...multiview import analyze_results
# Author-Info # Author-Info
__author__ = "Baptiste Bauvin" __author__ = "Baptiste Bauvin"
...@@ -12,7 +12,7 @@ def execute(classifier, trainLabels, ...@@ -12,7 +12,7 @@ def execute(classifier, trainLabels,
name, KFolds, name, KFolds,
hyperParamSearch, nIter, metrics, hyperParamSearch, nIter, metrics,
viewsIndices, randomState, labels, classifierModule): viewsIndices, randomState, labels, classifierModule):
return analyzeResults.execute(classifier, trainLabels, return analyze_results.execute(classifier, trainLabels,
testLabels, DATASET, testLabels, DATASET,
classificationKWARGS, classificationIndices, classificationKWARGS, classificationIndices,
LABELS_DICTIONARY, views, nbCores, times, LABELS_DICTIONARY, views, nbCores, times,
......
import numpy as np import numpy as np
from ...multiview.Additions import diversity_utils from ...multiview.additions import diversity_utils
def genName(config): def genName(config):
......
from . import FatLateFusionModule, analyzeResults from . import fat_late_fusion, analyze_results
\ No newline at end of file \ No newline at end of file
from ...multiview import analyzeResults from ...multiview import analyze_results
# Author-Info # Author-Info
__author__ = "Baptiste Bauvin" __author__ = "Baptiste Bauvin"
...@@ -12,7 +12,7 @@ def execute(classifier, trainLabels, ...@@ -12,7 +12,7 @@ def execute(classifier, trainLabels,
name, KFolds, name, KFolds,
hyperParamSearch, nIter, metrics, hyperParamSearch, nIter, metrics,
viewsIndices, randomState, labels, classifierModule): viewsIndices, randomState, labels, classifierModule):
return analyzeResults.execute(classifier, trainLabels, return analyze_results.execute(classifier, trainLabels,
testLabels, DATASET, testLabels, DATASET,
classificationKWARGS, classificationIndices, classificationKWARGS, classificationIndices,
LABELS_DICTIONARY, views, nbCores, times, LABELS_DICTIONARY, views, nbCores, times,
......
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