Muse-get seed_distances from phantom_average_track

muse-4.py

# get seed_distances from phantom_average_track
seed_distances = [phantom_average_track.values()] + playlist_tracks_attributes
dist = DistanceMetric.get_metric('euclidean')
distances = dist.pairwise(seed_distances)[0]
seed_data['distances'] = distances[1:len(distances)]

# get attributes of the 5 closest tracks to the phantom_average_track
seed_indexes = seed_data['distances'].argsort()[:5]
seed_songs = [seed_data['song_ids'][i] for i in seed_indexes]
seed_artists = [seed_data['artist_ids'][i] for i in seed_indexes]
    
# get target attributes from phantom_average_track (roudn to two decimals)
target_energy = str(round(phantom_average_track['energy'],2))
target_liveness = str(round(phantom_average_track['liveness'],2))
target_tempo = str(round(phantom_average_track['tempo'],2))
target_speechiness = str(round(phantom_average_track['speechiness'],2))
target_acousticness = str(round(phantom_average_track['acousticness'],2))
target_instrumentalness = str(round(phantom_average_track['instrumentalness'],2))
target_danceability = str(round(phantom_average_track['danceability'],2))
target_loudness = str(round(phantom_average_track['loudness'],2))