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MLFlow

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This commit is contained in:
Dominik Strzako 2021-05-16 13:02:05 +02:00
parent 1dd2bba636
commit 3cfbb7e703
90 changed files with 207 additions and 7 deletions
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Zadanie_08_MLflow.py
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@ -7,8 +7,6 @@ import numpy as np
import sys
from sklearn.preprocessing import StandardScaler, LabelEncoder
from tensorflow.keras.optimizers import Adam
from sacred.observers import FileStorageObserver, MongoObserver
from sacred import Experiment
from datetime import datetime
import os
import sys
@ -19,8 +17,8 @@ with mlflow.start_run():
batch_param = int(sys.argv[1]) if len(sys.argv) > 1 else 16
epoch_param = int(sys.argv[2]) if len(sys.argv) > 2 else 5
mlflow.log_param("batch_size: ", batch_param)
mlflow.log_param("epochs: ", epoch_param)
#mlflow.log_param("batch_size: ", batch_param)
#mlflow.log_param("epochs: ", epoch_param)
wine=pd.read_csv('train.csv')
@ -61,8 +59,6 @@ with mlflow.start_run():
NeuralModel.fit(scaled_x, yenc, batch_size= batch_param, epochs = epoch_param) #verbose = 1
NeuralModel.save('wine_model.h5')
#TO TYLKO NA POTRZEBY ZADANIA
y_pred = NeuralModel.predict(scaled_x)
@ -70,4 +66,4 @@ with mlflow.start_run():
results = accuracy_score(yenc,y_pred)
mlflow.log_metric("Accuracy: ", results)
#mlflow.log_metric("Accuracy: ", results)

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