Anomalous Dex -- Stuck on 4.1.c.3

data_type_confusion_trained_model.py

# run this script using persisted model.joblib from step 3

from typing import Optional, List

from pydantic import BaseModel
from joblib import load

clf = load("model.joblib")

class FeatureVector(BaseModel):
    vector: List[float]
    score: Optional[bool] = None

demo_input = FeatureVector(vector=[-0.15795269682074692, 0.0007172682747855299])

clf.score_samples(demo_input.vector)
"""Line above  gets error:
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.
"""


x = clf.score_samples([(-0.15795269682074692,-0.10624223103526062),
                       (-0.2531546758780664,-0.10674898283572026),
                       (0.0007172682747855299,-0.10674898283572026)])

print(x)
# array([-0.34156764, -0.42965497, -0.3826468 ])