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KitNET 55-py #8

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741ba1a
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rubythalib33 Jan 15, 2024
4a98a20
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rubythalib33 Jan 15, 2024
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dimaraed Mar 28, 2024
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1 change: 1 addition & 0 deletions dd
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4 changes: 2 additions & 2 deletions example.py
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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
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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")
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