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save and load a machine learning model using Pickle

Impossible Impala answered on January 2, 2022 Popularity 10/10 Helpfulness 6/10

answer save and load a machine learning model using Pickle

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save and load a machine learning model using Pickle

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#Save the model using pickle
import pickle
# save the model to disk
pickle.dump(model, open(model_file_path, 'wb'))

#Load the model 
model = pickle.load(open(model_file_path, 'rb'))

#Saving a Keras model
# Calling `save('my_model')` creates a SavedModel folder `my_model`.
model.save("my_model")
#Load a Keras Model
# It can be used to reconstruct the model identically.
reconstructed_model = keras.models.load_model("my_model")

Popularity 10/10 Helpfulness 6/10 Language python

Source: Grepper

Tags: load machine-learning model pickle python save using

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Contributed on Mar 25 2022

Impossible Impala

0 Answers Avg Quality 2/10

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save model pickle

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with open('model_pkl', 'wb') as files:
    pickle.dump(model, files)
with open('model_pkl' , 'rb') as f:
    lr = pickle.load(f)

Popularity 10/10 Helpfulness 9/10 Language python

Source: www.analyticsvidhya.com

Tags: model mode

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Contributed on Jan 02 2022

Colorful Copperhead

0 Answers Avg Quality 2/10

save and load a machine learning model using Pickle

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save and load a machine learning model using Pickle

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save model pickle

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