from kaggle_environments import evaluate, make
from alpha_model import kaggle_model
from kaggle_alpha_agent import agent



if __name__ == "__main__":
        env = make('connectx', debug=True)
        configuration = env.configuration

        model = kaggle_model(configuration)

        trainer = env.train([agent, 'Random'])
        observation = trainer.reset()
        
        model.eval()
        print(model.get_preds(observation))

67db950157d0a101b1e64903a0300a8f85512473
<mask token>

<mask token>
if __name__ == '__main__':
    env = make('connectx', debug=True)
    configuration = env.configuration
    model = kaggle_model(configuration)
    trainer = env.train([agent, 'Random'])
    observation = trainer.reset()
    model.eval()
    print(model.get_preds(observation))

from kaggle_environments import evaluate, make
from alpha_model import kaggle_model
from kaggle_alpha_agent import agent
if __name__ == '__main__':
    env = make('connectx', debug=True)
    configuration = env.configuration
    model = kaggle_model(configuration)
    trainer = env.train([agent, 'Random'])
    observation = trainer.reset()
    model.eval()
    print(model.get_preds(observation))

from kaggle_environments import evaluate, make
from alpha_model import kaggle_model
from kaggle_alpha_agent import agent



if __name__ == "__main__":
        env = make('connectx', debug=True)
        configuration = env.configuration

        model = kaggle_model(configuration)

        trainer = env.train([agent, 'Random'])
        observation = trainer.reset()
        
        model.eval()
        print(model.get_preds(observation))
