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Sanlap1997/model3.py Secret

Created October 3, 2020 06:27
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model3.py
# pick the feature columns
sensor_cols = ['s' + str(i) for i in range(1,22)]
sequence_cols = ['setting1', 'setting2', 'setting3', 'cycle_norm']
sequence_cols.extend(sensor_cols)
# generator for the sequences
seq_gen = (list(gen_sequence(train_df[train_df['id']==id], sequence_length, sequence_cols))
for id in train_df['id'].unique())
# generate sequences and convert to numpy array
seq_array = np.concatenate(list(seq_gen)).astype(np.float32)
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