Colab updates.

notebooks/TSFEL_HAR_Example.ipynb

@@ -34,7 +34,7 @@
  "#@title Import Time Series Feature Extraction Library\n",
  "import warnings\n",
  "warnings.filterwarnings('ignore')\n",
- "!pip install https://github.com/fraunhoferportugal/tsfel/releases/tag/v0.1.1_dev >/dev/null 2>&1\n",
+ "!pip install https://github.com/fraunhoferportugal/tsfel/archive/v0.1.1-dev.tar.gz 2>&1\n",
  "!pip install --upgrade -q gspread >/dev/null 2>&1\n",
  "!pip install gspread oauth2client >/dev/null 2>&1\n",
  "!pip install pandas >/dev/null 2>&1\n",
@@ -131,12 +131,12 @@
  "metadata": {
  "colab": {
  "base_uri": "https://localhost:8080/",
- "height": 295.0
+ "height": 295
  },
  "colab_type": "code",
+ "collapsed": true,
  "id": "EK66Oc_jNzKc",
- "outputId": "b747d1b0-e61c-43dc-99de-7c496e22a6f9",
- "collapsed": true
+ "outputId": "b747d1b0-e61c-43dc-99de-7c496e22a6f9"
  },
  "outputs": [
  {
@@ -187,12 +187,11 @@
  "metadata": {
  "colab": {
  "base_uri": "https://localhost:8080/",
- "height": 86.0
+ "height": 86
  },
  "colab_type": "code",
  "id": "uf_qta_DJ4xD",
- "outputId": "1c81ad71-e3d6-43fa-f138-99958fe0ace1",
- "collapsed": false
+ "outputId": "1c81ad71-e3d6-43fa-f138-99958fe0ace1"
  },
  "outputs": [
  {
@@ -250,7 +249,7 @@
  "cellView": "form",
  "colab": {
  "base_uri": "https://localhost:8080/",
- "height": 330.0
+ "height": 330
  },
  "colab_type": "code",
  "id": "vu5o5PBAXcFP",
@@ -289,7 +288,7 @@
  "cellView": "form",
  "colab": {
  "base_uri": "https://localhost:8080/",
- "height": 2047.0
+ "height": 2047
  },
  "colab_type": "code",
  "id": "Oa6gCQVwBaG_",
@@ -1816,7 +1815,7 @@
  "metadata": {
  "colab": {
  "base_uri": "https://localhost:8080/",
- "height": 260.0
+ "height": 260
  },
  "colab_type": "code",
  "id": "E3o5jF_sOwDI",
@@ -1847,6 +1846,13 @@
  "source": [
  "classifier = DecisionTreeClassifier()\n",
  "\n",
+ "# Handling eventual missing values from the feature extraction\n",
+ "X_train.replace([np.inf, -np.inf], np.nan, inplace=True)\n",
+ "X_train.fillna(X_train.mean(), inplace=True)\n",
+ "\n",
+ "X_test.replace([np.inf, -np.inf], np.nan, inplace=True)\n",
+ "X_test.fillna(X_test.mean(), inplace=True)\n",
+ "\n",
  "# Train the classifier\n",
  "classifier.fit(X_train, y_train.ravel())\n",
  "\n",
@@ -1865,7 +1871,7 @@
  "metadata": {
  "colab": {
  "base_uri": "https://localhost:8080/",
- "height": 375.0
+ "height": 375
  },
  "colab_type": "code",
  "id": "6lhdbQnCQxSV",
@@ -1933,7 +1939,7 @@
  "name": "python",
  "nbconvert_exporter": "python",
  "pygments_lexer": "ipython3",
- "version": "3.7.4"
+ "version": "3.7.3"
  }
  },
  "nbformat": 4,

setup.py

@@ -13,7 +13,7 @@
 
 setuptools.setup(
  name="tsfel",
- version="0.1.0",
+ version="0.1.1-dev",
  author="Fraunhofer Portugal",
  description="Library for time series feature extraction",
  long_description=long_description,
@@ -23,7 +23,7 @@
  packages=setuptools.find_packages(),
  classifiers=[
  "Programming Language :: Python :: 3",
- "License :: OSI Approved :: MIT License",
+ "License :: OSI Approved :: BSD License",
  "Operating System :: OS Independent",
  ],
  install_requires=install_reqs