Correct requirements.txt

[obtim]

Please post the correct requirements.txt
I can't build a project on Anaconda, under Win10

[kyleskom]

What error / imports are missing?

[obtim]

I use Anaconda.Navigator 2.3.1 under win10
Created virtualEnv with Python 3.9.13
My last requirements.txt is:
colorama==0.4.4
keras==2.7.0
numpy
pandas
requests==2.25.1
scikit_learn==1.1.2
tensorflow==2.5.1
tqdm==4.59.0
xgboost==1.6.1

I've got this error:
(NBA-Python3_9_13) c:\Python_Projects\NBA-Machine-Learning-Sports-Betting>python main.py
2022-11-23 17:39:54.033563: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
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.
2022-11-23 17:39:55.474472: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library nvcuda.dll
2022-11-23 17:39:55.490652: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: NVIDIA GeForce GT 1030 computeCapability: 6.1
coreClock: 1.468GHz coreCount: 3 deviceMemorySize: 2.00GiB deviceMemoryBandwidth: 44.76GiB/s
2022-11-23 17:39:55.490814: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
2022-11-23 17:39:55.498022: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublas64_11.dll
2022-11-23 17:39:55.506213: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublasLt64_11.dll
2022-11-23 17:39:55.510176: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cufft64_10.dll
2022-11-23 17:39:55.511571: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library curand64_10.dll
2022-11-23 17:39:55.514472: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusolver64_11.dll
2022-11-23 17:39:55.517816: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusparse64_11.dll
2022-11-23 17:39:55.518406: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudnn64_8.dll
2022-11-23 17:39:55.518588: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2022-11-23 17:39:55.531353: 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: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-11-23 17:39:55.533374: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: NVIDIA GeForce GT 1030 computeCapability: 6.1
coreClock: 1.468GHz coreCount: 3 deviceMemorySize: 2.00GiB deviceMemoryBandwidth: 44.76GiB/s
2022-11-23 17:39:55.537791: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2022-11-23 17:39:56.008804: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:
2022-11-23 17:39:56.008935: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264] 0
2022-11-23 17:39:56.009631: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0: N
2022-11-23 17:39:56.010416: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1331 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce GT 1030, pci bus id: 0000:01:00.0, compute capability: 6.1)
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.
[17:39:56] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:749: Found JSON model saved before XGBoost 1.6, please save the model using current version again. The support for old JSON model will be discontinued in XGBoost 2.3.
[17:39:56] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:749: Found JSON model saved before XGBoost 1.6, please save the model using current version again. The support for old JSON model will be discontinued in XGBoost 2.3.
Traceback (most recent call last):
File "c:\Python_Projects\NBA-Machine-Learning-Sports-Betting\main.py", line 79, in
main()
File "c:\Python_Projects\NBA-Machine-Learning-Sports-Betting\main.py", line 49, in main
data = get_todays_games_json(todays_games_url)
File "c:\Python_Projects\NBA-Machine-Learning-Sports-Betting\src\Utils\tools.py", line 35, in get_todays_games_json
json = raw_data.json()
File "C:\ProgramData\Anaconda3\envs\NBA-Python3_9_13\lib\site-packages\requests\models.py", line 900, in json
return complexjson.loads(self.text, **kwargs)
File "C:\ProgramData\Anaconda3\envs\NBA-Python3_9_13\lib\json_init_.py", line 346, in loads
return _default_decoder.decode(s)
File "C:\ProgramData\Anaconda3\envs\NBA-Python3_9_13\lib\json\decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "C:\ProgramData\Anaconda3\envs\NBA-Python3_9_13\lib\json\decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

[kyleskom]

I unfortunately do not have a windows machine to duplicate this on.

[obtim]

Can you specify the versions of the Python packages you are using on your system? And the version of Python?
P.S. I used to build this project on Win7, but then I upgraded to Win10.

[kyleskom]

Python 3.9.7
xgboost 1.6.2
numpy 1.23.4
pandas 1.5.1

[tereenceeec]

2023-10-24 23:44:04.510376: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-10-24 23:44:04.510427: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-10-24 23:44:04.510478: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-10-24 23:44:04.519346: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-10-24 23:44:05.561580: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Traceback (most recent call last):
File "/content/main.py", line 6, in
from colorama import Fore, Style
ModuleNotFoundError: No module named 'colorama'

any help?

[BrettWilliams22]

I was having a similar issue to this^ ill let you know if I figure it out

[elfrost]

I had to run and install requirements in (myenv).