From d5235b9c8f576eb716d9b9e9d881a661165d077c Mon Sep 17 00:00:00 2001
From: Baptiste Bauvin <baptiste.bauvin@lis-lab.fr>
Date: Tue, 28 Jan 2020 10:31:55 +0100
Subject: [PATCH] Cleaned
---
.../mono_multi_view_classifiers/exec_classif.py | 6 ++----
1 file changed, 2 insertions(+), 4 deletions(-)
diff --git a/multiview_platform/mono_multi_view_classifiers/exec_classif.py b/multiview_platform/mono_multi_view_classifiers/exec_classif.py
index 1dac8577..f98cc194 100644
--- a/multiview_platform/mono_multi_view_classifiers/exec_classif.py
+++ b/multiview_platform/mono_multi_view_classifiers/exec_classif.py
@@ -11,15 +11,14 @@ import itertools
import numpy as np
from joblib import Parallel, delayed
from sklearn.tree import DecisionTreeClassifier
+
# Import own modules
from . import monoview_classifiers
from . import multiview_classifiers
from .multiview.exec_multiview import exec_multiview, exec_multiview_multicore
from .monoview.exec_classif_mono_view import exec_monoview, exec_monoview_multicore
from .utils.dataset import delete_HDF5
-from .result_analysis import get_results
-from .result_analysis import plot_results_noise
-# resultAnalysis, analyzeLabels, analyzeIterResults, analyzeIterLabels, genNamesFromRes,
+from .result_analysis import get_results, plot_results_noise, analyze_biclass
from .utils import execution, dataset, multiclass, configuration
matplotlib.use(
@@ -772,7 +771,6 @@ def exec_benchmark(nb_cores, stats_iter, nb_multiclass,
# else:
for arguments in benchmark_arguments_dictionaries:
benchmark_results = exec_one_benchmark_mono_core(dataset_var=dataset_var, **arguments)
- from .result_analysis import analyze_biclass
analyze_biclass([benchmark_results], benchmark_arguments_dictionaries, stats_iter, metrics, example_ids=dataset_var.example_ids)
results += [benchmark_results]
logging.debug("Done:\t Executing all the needed biclass benchmarks")
--
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