Skip to content
Snippets Groups Projects
Commit 7ed76719 authored by Matteo Galletti's avatar Matteo Galletti
Browse files

Add new file

parent cdb6c679
No related branches found
No related tags found
No related merge requests found
'''
timeseries_classification.py
================================================================================
The module containing services specific for timeseries classification,
using Deep Learning techniques
Copyright 2020 - The IoTwins Project Consortium, Alma Mater Studiorum
Università di Bologna. All rights reserved.
'''
#!/usr/bin/python3.6
import os, random, pickle, tempfile, joblib
import pandas as pd
import numpy as np
import sys, time, warnings, io
np.set_printoptions(threshold=sys.maxsize)
import os.path
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import accuracy_score, precision_recall_fscore_support
from sklearn.metrics import confusion_matrix, roc_auc_score
from tensorflow.keras.models import load_model
import tensorflow.keras as keras
from tensorflow.keras.metrics import AUC, Precision, Recall
pd.set_option('display.max_columns', 15)
from collections import Counter
from sklearn.model_selection import train_test_split
warnings.filterwarnings('ignore')
#from boto3sts import credentials as creds
#import boto3, botocore, datetime
from ast import literal_eval
path_to_cert = "/ca_chain.pem"
extend_trainset = True
print("ciao")
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment