typo found in `t81_558_class_14_03_anomaly.ipynb` about t81_558_deep_learning HOT 3 CLOSED

You are basically saying the out of sample/in-sample prints were flipped? I made that adjustment and also got rid of the stray .format(score1).

from t81_558_deep_learning.

I recall they being two typos, I saw only one now

df_normal = df[normal_mask]
x_normal = df_normal.values

x_normal_train, x_normal_test = train_test_split(x_normal, test_size=0.25, random_state=42)

pred = model.predict(x_normal)
score2 = np.sqrt(metrics.mean_squared_error(pred,x_normal))
print(f"Insample Normal Score (RMSE): {score2}")

Regarding the last line, to my understanding, Insample implies it being from the training set. However, this appears to be all (normal) date

Sorry if I'm mistaken. Please feel free to close the request when ever you wish

from t81_558_deep_learning.

Added more description. Training occurred entirely on normal data so the insample and out of sample both come from just normals. The final RMSE reports the error on the non-normal, which is higher, indicating an anomoly.

from t81_558_deep_learning.