From f663add27d97d256adf1333194f5754fbbee06da Mon Sep 17 00:00:00 2001
From: allegroai <>
Date: Mon, 19 Aug 2019 21:26:29 +0300
Subject: [PATCH] Simplify examples

---
 examples/joblib_example.py   | 19 ++++++++++++++++++-
 examples/manual_reporting.py | 13 ++++++-------
 2 files changed, 24 insertions(+), 8 deletions(-)

diff --git a/examples/joblib_example.py b/examples/joblib_example.py
index fc1eaf00..a502fe10 100644
--- a/examples/joblib_example.py
+++ b/examples/joblib_example.py
@@ -6,6 +6,8 @@ except ImportError:
 from sklearn import datasets
 from sklearn.linear_model import LogisticRegression
 from sklearn.model_selection import train_test_split
+import numpy as np
+import matplotlib.pyplot as plt
 
 
 from trains import Task
@@ -25,4 +27,19 @@ joblib.dump(model, 'model.pkl', compress=True)
 
 loaded_model = joblib.load('model.pkl')
 result = loaded_model.score(X_test, y_test)
-print(result)
+x_min, x_max = X[:, 0].min() - .5, X[:, 0].max() + .5
+y_min, y_max = X[:, 1].min() - .5, X[:, 1].max() + .5
+h = .02  # step size in the mesh
+xx, yy = np.meshgrid(np.arange(x_min, x_max, h), np.arange(y_min, y_max, h))
+plt.figure(1, figsize=(4, 3))
+
+plt.scatter(X[:, 0], X[:, 1], c=y, edgecolors='k', cmap=plt.cm.Paired)
+plt.xlabel('Sepal length')
+plt.ylabel('Sepal width')
+
+plt.xlim(xx.min(), xx.max())
+plt.ylim(yy.min(), yy.max())
+plt.xticks(())
+plt.yticks(())
+
+plt.show()
\ No newline at end of file
diff --git a/examples/manual_reporting.py b/examples/manual_reporting.py
index 1feba570..9692501f 100644
--- a/examples/manual_reporting.py
+++ b/examples/manual_reporting.py
@@ -8,17 +8,12 @@ from trains import Task
 task = Task.init(project_name='examples', task_name='Manual reporting')
 
 # standard python logging
-logging.getLogger().setLevel('DEBUG')
-logging.debug('This is a debug message')
 logging.info('This is an info message')
-logging.warning('This is a warning message')
-logging.error('This is an error message')
-logging.critical('This is a critical message')
 
 # this is loguru test example
 try:
     from loguru import logger
-    logger.debug("That's it, beautiful and simple logging! (using ANSI colors)")
+    logger.info("That's it, beautiful and simple logging! (using ANSI colors)")
 except ImportError:
     pass
 
@@ -40,6 +35,10 @@ logger.report_histogram("example_histogram", "random histogram", iteration=1, va
 confusion = np.random.randint(10, size=(10, 10))
 logger.report_matrix("example_confusion", "ignored", iteration=1, matrix=confusion)
 
+# report 3d surface
+logger.report_surface("example_surface", "series1", iteration=1, matrix=confusion,
+                      xtitle='title X', ytitle='title Y', ztitle='title Z')
+
 # report 2d scatter plot
 scatter2d = np.hstack((np.atleast_2d(np.arange(0, 10)).T, np.random.randint(10, size=(10, 1))))
 logger.report_scatter2d("example_scatter", "series_xy", iteration=1, scatter=scatter2d)
@@ -48,7 +47,7 @@ logger.report_scatter2d("example_scatter", "series_xy", iteration=1, scatter=sca
 scatter3d = np.random.randint(10, size=(10, 3))
 logger.report_scatter3d("example_scatter_3d", "series_xyz", iteration=1, scatter=scatter3d)
 
-# report images
+# reporting images
 m = np.eye(256, 256, dtype=np.float)
 logger.report_image_and_upload("test case", "image float", iteration=1, matrix=m)
 m = np.eye(256, 256, dtype=np.uint8)*255