Add TSLime example notebook

Author: ruivieira

examples/TSLime.ipynb

@@ -0,0 +1,35 @@
+import pandas as pd
+import os
+import zipfile
+def load_ford(category: str = "A", input_length: int = 500):
+    """
+    Prepares train and test dataframes.
+
+    Returns:
+
+        x_train (np.ndarray): Train data in numpy format.
+        x_test (np.ndarray): Test data in numpy format.
+        y_train (np.ndarray): Train labels in numpy format.
+        x_test (np.ndarray): Test labels in numpy format.
+    """
+    _dir = os.path.dirname(os.path.abspath(__file__))
+    data_file = os.path.join(_dir, f'../data/Ford{category}.zip')
+
+    with zipfile.ZipFile(data_file, 'r') as z:
+        with z.open(f'Ford{category}_TRAIN.txt') as f:
+            train = pd.read_csv(f, delim_whitespace=True, header=None)
+        with z.open(f'Ford{category}_TEST.txt') as f:
+            test = pd.read_csv(f, delim_whitespace=True, header=None)
+
+    y_train = train.iloc[:, 0]
+    x_train = train.iloc[:, 1:]
+    x_test = test.iloc[:, 1:]
+    y_test = test.iloc[:, 0]
+
+    x_train = x_train.values.reshape(-1, input_length, 1)
+    x_test = x_test.values.reshape(-1, input_length, 1)
+
+    y_train[y_train == -1] = 0
+    y_test[y_test == -1] = 0
+
+    return x_train, x_test, y_train, y_test

examples/data/FordA.zip

@@ -1,5 +1,8 @@
-joblib~=1.1.1
+joblib~=1.2.0
 pandas~=1.5.3
 scikit-learn~=1.2.1
 xgboost==1.4.2
 matplotlib~=3.6.3
+tensorflow
+keras
+huggingface-hub

examples/utils/data.py

@@ -1,2 +1,2 @@
-trustyai==0.2.10
+trustyai==0.2.12
 jupyterlab~=3.5.3