aboutsummaryrefslogtreecommitdiff
path: root/evaluate.py
diff options
context:
space:
mode:
authornunzip <np.scarh@gmail.com>2018-12-12 23:14:44 +0000
committernunzip <np.scarh@gmail.com>2018-12-12 23:14:44 +0000
commit7167c720b525b86d689775c58b0be4ec92c8fc4d (patch)
treec5ab0df21723f161f67f2ac4970434798d569b55 /evaluate.py
parent88ed5d2fec953107584fb53fefd9094dac6dec38 (diff)
parent7eef0dccc6ff8cfa2e75fa3d940f9a2f38144611 (diff)
downloadvz215_np1915-7167c720b525b86d689775c58b0be4ec92c8fc4d.tar.gz
vz215_np1915-7167c720b525b86d689775c58b0be4ec92c8fc4d.tar.bz2
vz215_np1915-7167c720b525b86d689775c58b0be4ec92c8fc4d.zip
Merge branch 'master' of git.skozl.com:e4-pattern
Diffstat (limited to 'evaluate.py')
-rwxr-xr-xevaluate.py7
1 files changed, 0 insertions, 7 deletions
diff --git a/evaluate.py b/evaluate.py
index 0f8fe48..99e5eed 100755
--- a/evaluate.py
+++ b/evaluate.py
@@ -8,21 +8,14 @@
# [-K KMEAN] [-A] [-P PCA]
import matplotlib.pyplot as plt
-from mpl_toolkits.mplot3d import Axes3D
import sys
-import random
import os
import json
import scipy.io
-from random import randint
-from sklearn.neighbors import KNeighborsClassifier
from sklearn.neighbors import NearestNeighbors
-from sklearn.neighbors import DistanceMetric
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
-from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA
from sklearn.model_selection import train_test_split
-from sklearn.preprocessing import StandardScaler
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
import argparse