vanitasvitae/pywatts
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Cap all prediction values to zero

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reedts 2018-08-13 14:42:31 +02:00
parent aec38b2764
commit 68e9b9ddd0
1 changed files with 3 additions and 2 deletions
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pywatts/routines.py
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@ -64,7 +64,8 @@ def plot_training(evaluation):
def predict(nn, X_pred):
pred = nn.predict1h(X_pred)
predictions = np.array([p['predictions'] for p in pred])
# Cap results to 0
predictions = np.array([max(p['predictions'], 0) for p in pred])
return predictions
@ -80,7 +81,7 @@ def predict24h(nn, X_pred):
# Remove first value and append predicted value
del input['dc'][0]
input['dc'].append(predictions[-1])
print(input)
print("Prediction for hour %d/%d" % (i+1, 24))
return predictions