mlCommom

assets/Deepfence_ML_flowmeter.py

@@ -4,42 +4,24 @@ from __future__ import division
 import pandas as pd
 import matplotlib.pyplot as plt  # plotting
 import numpy as np  # linear algebra
-import math
 
 from sklearn.linear_model import LogisticRegression
-from sklearn.svm import SVC
 
-from sklearn.pipeline import make_pipeline
-
-from sklearn.preprocessing import StandardScaler, MinMaxScaler
+from sklearn.preprocessing import StandardScaler
 
 from sklearn.model_selection import (
     train_test_split,
     GridSearchCV,
-    cross_val_score,
-    RepeatedStratifiedKFold,
-    StratifiedKFold,
 )
 
 from sklearn.metrics import (
     accuracy_score,
     confusion_matrix,
-    roc_curve,
     roc_auc_score,
-    auc,
-    precision_score,
     recall_score,
-    precision_recall_curve,
     f1_score,
 )
 
-
-from collections import Counter
-from sklearn.datasets import make_classification
-import copy
-import warnings
-
-
 # # Data
 
 # ### File path
@@ -86,7 +68,7 @@ colsPerTime = [
 for feature in colsPerTime:
     pd_comb[feature + "PerTime"] = pd_comb[feature] / pd_comb["flowDuration"]
     print(feature + "PerTime")
-
+    
 # ## Features
 # Feature columns.
 feature_cols = [

assets/requirements.txt

@@ -0,0 +1,18 @@
+Click
+cycler
+Flask
+itsdangerous
+Jinja2
+joblib
+kiwisolver
+MarkupSafe
+matplotlib
+numpy
+pandas
+pyparsing
+python-dateutil
+pytz
+scikit-learn
+scipy
+six
+Werkzeug