Created
May 22, 2019 12:02
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Fit model, dump to S3 via s3fs
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import s3fs | |
import pickle | |
import json | |
import numpy as np | |
BUCKET_NAME = "my-bucket" | |
# definitions, keras/tf/... imports... | |
if __name__ == "__main__": | |
s3 = s3fs.S3FileSystem(anon=False) # mount | |
model_options = { "name": "", | |
"comment": "trained on half the dataset", | |
"params": { | |
"n_trees": 4 | |
}} | |
json.dump(model_options, s3.open(f"{BUCKET_NAME}/options_{model_options['name'] + str(np.random.randint(10000))}.json",'w')) | |
model = generate_baseline(model_options["params"]) # generate some base line model with whatever option we want to use. | |
model.fit(X,y) | |
pickle.dump(model, s3.open(f"{BUCKET_NAME}/model_{model_options['name'] + str(np.random.randint(10000))}.pkl",'w')) |
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