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Saving signatura and input_example

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This commit is contained in:
Dominik Strzako 2021-05-23 19:14:06 +02:00
parent b30d32769a
commit 6ef47ff7f3
49 changed files with 140 additions and 2 deletions
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Zadanie_08_and_09_MLflow.py
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@ -44,7 +44,7 @@ with mlflow.start_run():
scale = StandardScaler()
scaled_x = scale.fit_transform(x)
x_train, x_test, y_train, y_test = train_test_split(scaled_x,yenc , test_size=0.2,train_size=0.8, random_state=21)
NeuralModel = Sequential([
@ -62,6 +62,9 @@ with mlflow.start_run():
NeuralModel.fit(x_train, y_train, batch_size= batch_param, epochs = epoch_param) #verbose = 1
#signature = mlflow.models.signature.infer_signature(x_train.values, NeuralModel.predict(x_train.values))
#input_example = x_test.values[10]
y_pred = NeuralModel.predict(x_test)
y_pred = np.around(y_pred, decimals=0)
@ -72,4 +75,4 @@ with mlflow.start_run():
mlflow.log_metric("Accuracy", results)
mlflow.keras.save_model(NeuralModel, "my_model")
mlflow.keras.save_model(NeuralModel, "my_model", signature= mlflow.models.signature.infer_signature(x_train, y_train), input_example= x_train[0])

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