add CI notebook path (low diffs)

build.gradle

@@ -110,7 +110,7 @@ def exampleName=project.properties["exampleName"] ?: ""
 
 task checkExample(type: Exec) {
     dependsOn installLocally
-    workingDir "./examples"
+    workingDir "."
     // exampleName must be passed with -PexampleName=FFT-examples.ipynb
     commandLine "papermill", exampleName, exampleName
 

examples/FFT-examples.ipynb

@@ -53,7 +53,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = pd.read_csv('temps.csv')\n",
+    "df = pd.read_csv('examples/temps.csv')\n",
     "df['temps'] = df['Daily minimum temperatures'].str.replace('^[^\\d]*', '').astype(float)"
    ]
   },
@@ -289,7 +289,7 @@
     }
    ],
    "source": [
-    "df = pd.read_csv('AirPassengers.csv', delimiter=\",\")\n",
+    "df = pd.read_csv('examples/AirPassengers.csv', delimiter=\",\")\n",
     "ts_2 = TimeSeries.from_dataframe(df, 'Month', ['#Passengers'])\n",
     "train, val = ts_2.split_after(pd.Timestamp('19551201'))\n",
     "train.plot()\n",
@@ -415,7 +415,7 @@
     }
    ],
    "source": [
-    "df = pd.read_csv('energy_dataset.csv', delimiter=\",\")\n",
+    "df = pd.read_csv('examples/energy_dataset.csv', delimiter=\",\")\n",
     "df['time'] = pd.to_datetime(df['time'], utc=True)\n",
     "df['time']= df.time.dt.tz_localize(None)\n",
     "\n",
@@ -489,4 +489,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

examples/RNN-examples.ipynb

@@ -90,7 +90,7 @@
    "outputs": [],
    "source": [
     "# Read data:\n",
-    "df = pd.read_csv('AirPassengers.csv', delimiter=\",\")\n",
+    "df = pd.read_csv('examples/AirPassengers.csv', delimiter=\",\")\n",
     "series = TimeSeries.from_dataframe(df, 'Month', ['#Passengers'])\n",
     "\n",
     "# Create training and validation sets:\n",
@@ -484,7 +484,7 @@
     }
    ],
    "source": [
-    "df2 = pd.read_csv('monthly-sunspots.csv', delimiter=\",\")\n",
+    "df2 = pd.read_csv('examples/monthly-sunspots.csv', delimiter=\",\")\n",
     "series_sunspot = TimeSeries.from_dataframe(df2, 'Month', ['Sunspots'])\n",
     "\n",
     "series_sunspot.plot()\n",
@@ -710,4 +710,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

examples/TCN-examples.ipynb

@@ -41,7 +41,7 @@
    "outputs": [],
    "source": [
     "# Read data:\n",
-    "df = pd.read_csv('AirPassengers.csv', delimiter=\",\")\n",
+    "df = pd.read_csv('examples/AirPassengers.csv', delimiter=\",\")\n",
     "ts = TimeSeries.from_dataframe(df, 'Month', ['#Passengers']).add_datetime_attribute('month', True)\n",
     "\n",
     "# Create training and validation sets:\n",
@@ -187,7 +187,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df2 = pd.read_csv('monthly-sunspots.csv', delimiter=\",\")\n",
+    "df2 = pd.read_csv('examples/monthly-sunspots.csv', delimiter=\",\")\n",
     "series_sunspot = TimeSeries.from_dataframe(df2, 'Month', ['Sunspots'])\n",
     "series_sunspot = series_sunspot.add_datetime_attribute('month', True)\n",
     "train_sp, val_sp = series_sunspot.split_after(pd.Timestamp('19401001'))\n",
@@ -372,4 +372,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

examples/darts-intro.ipynb

@@ -86,7 +86,7 @@
     }
    ],
    "source": [
-    "df = pd.read_csv('AirPassengers.csv', delimiter=\",\")\n",
+    "df = pd.read_csv('examples/AirPassengers.csv', delimiter=\",\")\n",
     "series = TimeSeries.from_dataframe(df, 'Month', ['#Passengers'])\n",
     "series.plot(lw=3)"
    ]
@@ -961,4 +961,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}

examples/multivariate-examples.ipynb

@@ -113,7 +113,7 @@
    ],
    "source": [
     "# Read data:\n",
-    "df = pd.read_csv('AirPassengers.csv', delimiter=\",\")\n",
+    "df = pd.read_csv('examples/AirPassengers.csv', delimiter=\",\")\n",
     "ts = TimeSeries.from_dataframe(df, 'Month', ['#Passengers'])\n",
     "ts.plot()"
    ]
@@ -396,4 +396,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}