bug fixes

Author: riibeirogabriel

README.md

@@ -25,6 +25,6 @@ Each functionality in learningOrchestra is contained in its own class. Check the
 
 * [Here](examples/titanic.py) has an example using the [Titanic Dataset](https://www.kaggle.com/c/titanic/overview):
 * [Here](examples/sentiment_analysis.py) has an example using the [Sentiment Analysis On IMDb reviews](https://www.kaggle.com/avnika22/imdb-perform-sentiment-analysis-with-scikit-learn):
-* [Here](examples/mnist.py) has an example using the [MNIST Dataset](http://yann.lecun.com/exdb/mnist/):
+* [Here](examples/mnist_async.py) has an example using the [MNIST Dataset](http://yann.lecun.com/exdb/mnist/):
 
 

examples/mnist.py

@@ -247,8 +247,8 @@ def treat_dataset(dataset: dict) -> tuple:
 
 
 show_mnist_evaluate = '''
-    print(mnist_evaluated)
-    response = None
+print(mnist_evaluated)
+response = None
 '''
 function_python.run_function_async(
     name="mnist_model_evaluated_print",

examples/sentiment_analysis.py

@@ -4,7 +4,7 @@
 from learning_orchestra_client.train.scikitlearn import TrainScikitLearn
 from learning_orchestra_client.predict.scikitlearn import PredictScikitLearn
 
-CLUSTER_IP = "http://34.68.100.96"
+CLUSTER_IP = "http://34.123.167.241"
 
 dataset_csv = DatasetCsv(CLUSTER_IP)
 
@@ -107,12 +107,12 @@ def tokenizer_porter(text):
     module_path="sklearn.linear_model",
     class_name="LogisticRegressionCV",
     class_parameters={
-        "cv": 6,
+        "cv": 5,
         "scoring": "accuracy",
         "random_state": 0,
         "n_jobs": -1,
         "verbose": 3,
-        "max_iter": 500
+        "max_iter": 100
     }
 
 )