TeamID + CFID not found

[levski87]

Running this on Google Colab as per the instructions and I get the following error:

WARNING:tensorflow:SavedModel saved prior to TF 2.5 detected when loading Keras model. Please ensure that you are saving the model with model.save() or tf.keras.models.save_model(), NOT tf.saved_model.save(). To confirm, there should be a file named "keras_metadata.pb" in the SavedModel directory.
2023-02-08 22:16:31.374171: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-02-08 22:16:31.383792: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-02-08 22:16:31.384025: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-02-08 22:16:31.384472: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-02-08 22:16:31.384775: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-02-08 22:16:31.384992: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-02-08 22:16:31.385168: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-02-08 22:16:31.961132: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-02-08 22:16:31.961430: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-02-08 22:16:31.961633: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-02-08 22:16:31.961800: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.
2023-02-08 22:16:31.961847: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13805 MB memory: -> device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5
WARNING:tensorflow:SavedModel saved prior to TF 2.5 detected when loading Keras model. Please ensure that you are saving the model with model.save() or tf.keras.models.save_model(), NOT tf.saved_model.save(). To confirm, there should be a file named "keras_metadata.pb" in the SavedModel directory.
------------------draftkings odds data------------------
Detroit Pistons (440) @ Cleveland Cavaliers (-580)
Charlotte Hornets (145) @ Washington Wizards (-170)
Philadelphia 76ers (155) @ Boston Celtics (-180)
Indiana Pacers (220) @ Miami Heat (-260)
San Antonio Spurs (430) @ Toronto Raptors (-560)
Sacramento Kings (-360) @ Houston Rockets (295)
Minnesota Timberwolves (180) @ Utah Jazz (-210)
Dallas Mavericks (265) @ LA Clippers (-320)
Golden State Warriors (120) @ Portland Trail Blazers (-140)
**Traceback (most recent call last):
File "main.py", line 106, in
main()
File "main.py", line 79, in main
data, todays_games_uo, frame_ml, home_team_odds, away_team_odds = createTodaysGames(games, df, odds)
File "main.py", line 52, in createTodaysGames
frame_ml = games_data_frame.drop(columns=['TEAM_ID', 'CFID', 'CFPARAMS', 'TEAM_NAME'])
File "/usr/local/lib/python3.8/dist-packages/pandas/util/_decorators.py", line 311, in wrapper
return func(*args, kwargs)
File "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py", line 4906, in drop
return super().drop(
File "/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py", line 4150, in drop
obj = obj._drop_axis(labels, axis, level=level, errors=errors)
File "/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py", line 4214, in _drop_axis
raise KeyError(f"{labels} not found in axis")
KeyError: "['TEAM_ID' 'CFID' 'CFPARAMS' 'TEAM_NAME'] not found in axis"

[salive]

Just remove 'CFID', 'CFPARAMS' from this list ['TEAM_ID', 'CFID', 'CFPARAMS', 'TEAM_NAME'] in main.py

[kyleskom]

I will take a look at this, if not trying running from local.

[kyleskom]

#84

[kyleskom]

Fixed with #85