From 484a6b882633f48723c792bcd09ce2f0ca87ef5b Mon Sep 17 00:00:00 2001
From: Solange Emmenegger <solange.emmenegger@hslu.ch>
Date: Fri, 16 Sep 2022 08:32:06 +0000
Subject: [PATCH] Filter out Future Warning
---
.../Data Quality Assessment_Solution.ipynb | 4 ++++
.../Supervised Learning Fundamentals_Solution.ipynb | 3 +++
notebooks/04B Gradient Descent/Gradient Descent.ipynb | 3 +++
.../Support Vector Machines as Demo.ipynb | 3 +++
notebooks/08A Neural Networks/Neural Networks.ipynb | 3 +++
.../08B Backpropagation/Neural Networks from Scratch.ipynb | 4 +++-
.../convolutional_neural_network.ipynb | 5 ++++-
notebooks/09B Transfer Learning/transfer_learning.ipynb | 4 +++-
notebooks/11A Clustering/Clustering Examples.ipynb | 3 +++
notebooks/11A Clustering/Clustering.ipynb | 2 ++
.../11B Anomaly Detection/Anomaly Detection - Part 2.ipynb | 3 +++
.../12A Association Rules/Association Rules Examples.ipynb | 3 ++-
notebooks/12A Association Rules/Association Rules.ipynb | 3 ++-
13 files changed, 38 insertions(+), 5 deletions(-)
diff --git a/notebooks/01A Data Quality Assessment/Data Quality Assessment_Solution.ipynb b/notebooks/01A Data Quality Assessment/Data Quality Assessment_Solution.ipynb
index de41241..754dfc1 100644
--- a/notebooks/01A Data Quality Assessment/Data Quality Assessment_Solution.ipynb
+++ b/notebooks/01A Data Quality Assessment/Data Quality Assessment_Solution.ipynb
@@ -58,6 +58,10 @@
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
+ "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
+ "\n",
"sns.set()"
]
},
diff --git a/notebooks/03A Supervised Learning/Supervised Learning Fundamentals_Solution.ipynb b/notebooks/03A Supervised Learning/Supervised Learning Fundamentals_Solution.ipynb
index 2091887..ecfc7c4 100644
--- a/notebooks/03A Supervised Learning/Supervised Learning Fundamentals_Solution.ipynb
+++ b/notebooks/03A Supervised Learning/Supervised Learning Fundamentals_Solution.ipynb
@@ -43,6 +43,9 @@
"\n",
"from sklearn.model_selection import KFold\n",
"\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
+ "\n",
"from tqdm.notebook import tqdm\n",
"import ipywidgets as widgets\n",
"%matplotlib inline"
diff --git a/notebooks/04B Gradient Descent/Gradient Descent.ipynb b/notebooks/04B Gradient Descent/Gradient Descent.ipynb
index 196f1ec..d57a78a 100644
--- a/notebooks/04B Gradient Descent/Gradient Descent.ipynb
+++ b/notebooks/04B Gradient Descent/Gradient Descent.ipynb
@@ -31,6 +31,9 @@
"from sklearn.metrics import r2_score\n",
"from collections import defaultdict\n",
"\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
+ "\n",
"from tqdm.notebook import tqdm\n",
"from ipywidgets import interact\n",
"%matplotlib inline"
diff --git a/notebooks/07B Support Vector Machines/Support Vector Machines as Demo.ipynb b/notebooks/07B Support Vector Machines/Support Vector Machines as Demo.ipynb
index 10e146e..c2394b8 100644
--- a/notebooks/07B Support Vector Machines/Support Vector Machines as Demo.ipynb
+++ b/notebooks/07B Support Vector Machines/Support Vector Machines as Demo.ipynb
@@ -37,6 +37,9 @@
"from sklearn.metrics import accuracy_score\n",
"from sklearn.metrics import f1_score\n",
"\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
+ "\n",
"from scipy import stats\n",
"import pylab as pl\n",
"import random\n",
diff --git a/notebooks/08A Neural Networks/Neural Networks.ipynb b/notebooks/08A Neural Networks/Neural Networks.ipynb
index ad43392..da70ba0 100644
--- a/notebooks/08A Neural Networks/Neural Networks.ipynb
+++ b/notebooks/08A Neural Networks/Neural Networks.ipynb
@@ -28,6 +28,9 @@
"from sklearn.metrics import accuracy_score\n",
"sns.set()\n",
"\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
+ "\n",
"%matplotlib inline"
]
},
diff --git a/notebooks/08B Backpropagation/Neural Networks from Scratch.ipynb b/notebooks/08B Backpropagation/Neural Networks from Scratch.ipynb
index 18d922c..8ddd94c 100644
--- a/notebooks/08B Backpropagation/Neural Networks from Scratch.ipynb
+++ b/notebooks/08B Backpropagation/Neural Networks from Scratch.ipynb
@@ -20,7 +20,9 @@
"outputs": [],
"source": [
"import numpy as np\n",
- "import matplotlib.pyplot as plt"
+ "import matplotlib.pyplot as plt\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)"
]
},
{
diff --git a/notebooks/09A Convolutional Neural Network/convolutional_neural_network.ipynb b/notebooks/09A Convolutional Neural Network/convolutional_neural_network.ipynb
index 904f554..f5af201 100644
--- a/notebooks/09A Convolutional Neural Network/convolutional_neural_network.ipynb
+++ b/notebooks/09A Convolutional Neural Network/convolutional_neural_network.ipynb
@@ -47,7 +47,10 @@
"import tensorflow as tf\n",
"from tensorflow import keras\n",
"from tensorflow.keras import datasets, layers, models\n",
- "from tensorflow.keras.optimizers import SGD, Adam"
+ "from tensorflow.keras.optimizers import SGD, Adam\n",
+ "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)"
]
},
{
diff --git a/notebooks/09B Transfer Learning/transfer_learning.ipynb b/notebooks/09B Transfer Learning/transfer_learning.ipynb
index 07d8391..02c1c80 100644
--- a/notebooks/09B Transfer Learning/transfer_learning.ipynb
+++ b/notebooks/09B Transfer Learning/transfer_learning.ipynb
@@ -45,7 +45,9 @@
"from tensorflow import keras\n",
"from tensorflow.keras import datasets, layers, models\n",
"from tensorflow.keras.optimizers import SGD, Adam\n",
- "\n"
+ "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)"
]
},
{
diff --git a/notebooks/11A Clustering/Clustering Examples.ipynb b/notebooks/11A Clustering/Clustering Examples.ipynb
index 074350a..105c350 100644
--- a/notebooks/11A Clustering/Clustering Examples.ipynb
+++ b/notebooks/11A Clustering/Clustering Examples.ipynb
@@ -26,6 +26,9 @@
"from mlxtend.preprocessing import TransactionEncoder\n",
"from mlxtend.frequent_patterns import apriori, association_rules\n",
"\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
+ "\n",
"%matplotlib inline"
]
},
diff --git a/notebooks/11A Clustering/Clustering.ipynb b/notebooks/11A Clustering/Clustering.ipynb
index 21a35f3..1460ec9 100644
--- a/notebooks/11A Clustering/Clustering.ipynb
+++ b/notebooks/11A Clustering/Clustering.ipynb
@@ -30,6 +30,8 @@
"from sklearn.decomposition import PCA\n",
"\n",
"from tqdm.notebook import tqdm\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
"\n",
"%matplotlib inline"
]
diff --git a/notebooks/11B Anomaly Detection/Anomaly Detection - Part 2.ipynb b/notebooks/11B Anomaly Detection/Anomaly Detection - Part 2.ipynb
index c114169..6dd322a 100644
--- a/notebooks/11B Anomaly Detection/Anomaly Detection - Part 2.ipynb
+++ b/notebooks/11B Anomaly Detection/Anomaly Detection - Part 2.ipynb
@@ -35,6 +35,9 @@
"\n",
"import matplotlib.gridspec as gridspec\n",
"\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
+ "\n",
"from tqdm.notebook import tqdm\n",
"import ipywidgets as widgets"
]
diff --git a/notebooks/12A Association Rules/Association Rules Examples.ipynb b/notebooks/12A Association Rules/Association Rules Examples.ipynb
index 5f7e936..59d06fd 100644
--- a/notebooks/12A Association Rules/Association Rules Examples.ipynb
+++ b/notebooks/12A Association Rules/Association Rules Examples.ipynb
@@ -23,7 +23,8 @@
"\n",
"from mlxtend.preprocessing import TransactionEncoder\n",
"from mlxtend.frequent_patterns import apriori, association_rules\n",
- "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
"%matplotlib inline"
]
},
diff --git a/notebooks/12A Association Rules/Association Rules.ipynb b/notebooks/12A Association Rules/Association Rules.ipynb
index 32ad56e..8668067 100644
--- a/notebooks/12A Association Rules/Association Rules.ipynb
+++ b/notebooks/12A Association Rules/Association Rules.ipynb
@@ -25,7 +25,8 @@
"import plotly.graph_objs as go\n",
"\n",
"from tqdm.notebook import tqdm\n",
- "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
"%matplotlib inline"
]
},
--
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