From 741ba1abb8f9dd86f3eb27e183c64dc9684da7bd Mon Sep 17 00:00:00 2001
From: Ruby Abdullah <46517141+rubythalib33@users.noreply.github.com>
Date: Mon, 15 Jan 2024 02:48:36 +0000
Subject: [PATCH 1/3] update

---
 example.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/example.py b/example.py
index 487d172..0c60f32 100644
--- a/example.py
+++ b/example.py
@@ -22,7 +22,7 @@
     zip_ref.extractall()
 
 print("Reading Sample dataset...")
-X = pd.read_csv("mirai3.csv",header=None).as_matrix() #an m-by-n dataset with m observations
+X = pd.read_csv("mirai3.csv",header=None).values #an m-by-n dataset with m observations
 
 # KitNET params:
 maxAE = 10 #maximum size for any autoencoder in the ensemble layer

From 4a98a20d13aeb983a4a16b1c43b7ebc2cfde5b0c Mon Sep 17 00:00:00 2001
From: Ruby Abdullah <46517141+rubythalib33@users.noreply.github.com>
Date: Mon, 15 Jan 2024 02:51:45 +0000
Subject: [PATCH 2/3] update

---
 example.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/example.py b/example.py
index 0c60f32..58eb006 100644
--- a/example.py
+++ b/example.py
@@ -54,7 +54,7 @@
 from matplotlib import pyplot as plt
 from matplotlib import cm
 plt.figure(figsize=(10,5))
-timestamps = pd.read_csv("mirai3_ts.csv",header=None).as_matrix()
+timestamps = pd.read_csv("mirai3_ts.csv",header=None).values
 fig = plt.scatter(timestamps[FMgrace+ADgrace+1:],RMSEs[FMgrace+ADgrace+1:],s=0.1,c=logProbs[FMgrace+ADgrace+1:],cmap='RdYlGn')
 plt.yscale("log")
 plt.title("Anomaly Scores from KitNET's Execution Phase")

From 7cd7e53eca329ed1d8d6ebddc7ee53741689d184 Mon Sep 17 00:00:00 2001
From: dimaraed <150087272+dimaraed@users.noreply.github.com>
Date: Fri, 29 Mar 2024 00:51:44 +0200
Subject: [PATCH 3/3] Create dd

---
 dd | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 dd

diff --git a/dd b/dd
new file mode 100644
index 0000000..8b13789
--- /dev/null
+++ b/dd
@@ -0,0 +1 @@
+