31 lines
723 B
Python
31 lines
723 B
Python
import os
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import sys
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import tensorflow as tf
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import pywatts.db
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from pywatts.routines import *
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# get rid of TF debug message
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
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if len(sys.argv) != 3:
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print("Usage: python predict_for_json.py 24h|1h <file.json>")
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exit(1)
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type = sys.argv[1] # '1h' or '24h'
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json_file = sys.argv[2] # json file
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queries = input_queries(json_file)
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feature_col = [tf.feature_column.numeric_column(str(idx)) for idx in range(336)]
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n = pywatts.neural.Net(feature_cols=feature_col)
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predictions = []
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for query in queries:
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if type == '1h':
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predictions.extend(predict(n, query).astype('Float64').tolist())
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else:
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predictions.append(predict24h(n, query))
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print(predictions)
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