- - © Copyright 2020, Erdogan Taskesen + © Copyright 2020, Erdogan Taskesen.
- - © Copyright 2020, Erdogan Taskesen + © Copyright 2020, Erdogan Taskesen.
out is a dictionary containing y_proba, y_pred and df.
-The output values has the same order as input value y
out is a dictionary containing y, y_proba, y_pred and P.
+The output values has the same order as input value y
+Note that dataframe df is included when using the todf=True paramter.
# Print probabilities
print(out['y_proba'])
# > [0.02702734, 0.04908335, 0.08492715, 0.13745288, 0.49567466, 0.41288701, 0.3248188 , 0.02260135, 0.00636084]
@@ -379,7 +384,8 @@ Make predictions¶
In the previous example, we showed that the output can be captured results and out but the results are also stored in the object itself.
In our examples it is the dist object.
-The same variable names are used; y_proba, y_pred and df.
+The same variable names are used; y, y_proba, y_pred and P.
+Note that dataframe df is included when using the todf=True paramter.
# All scores of the tested distributions
print(dist.summary)
@@ -387,15 +393,15 @@ Extract resultsdist.model
# Show the predictions for y
-print(dist.y_pred)
+print(dist.results['y_pred'])
# ['down' 'down' 'none' 'none' 'none' 'none' 'up' 'up' 'up']
# Show the probabilities for y that belong with the predictions
-print(dist.y_proba)
+print(dist.results['y_proba'])
# [2.75338375e-05 2.74664877e-03 4.74739680e-01 3.28636879e-01 1.99195071e-01 1.06316132e-01 5.05914722e-02 2.18922761e-02 8.89349927e-03]
-# All predicted information is also stored in a structured dataframe
-print(dist.df)
+# All predicted information is also stored in a structured dataframe (only when setting the todf=True)
+print(dist.results['df'])