diff --git a/topic/machine-learning/automl/automl_timeseries_forecasting_with_pycaret.ipynb b/topic/machine-learning/automl/automl_timeseries_forecasting_with_pycaret.ipynb index 8d71cf8a..79217839 100644 --- a/topic/machine-learning/automl/automl_timeseries_forecasting_with_pycaret.ipynb +++ b/topic/machine-learning/automl/automl_timeseries_forecasting_with_pycaret.ipynb @@ -107,12 +107,25 @@ "source": [ "## Getting started\n", "\n", - "First, install the required dependencies. \n", - "\n", - "```bash\n", - "pip install -r requirements.txt\n", - "```\n", + "First, install the required dependencies. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#!pip install -r requirements.txt\n", "\n", + "# In an environment like Google Colab, please use the abolute path of requirements.txt:\n", + "#!pip install -r https://raw.githubusercontent.com/crate/cratedb-examples/main/topic/machine-learning/automl/requirements.txt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ "**Note:** As of time of this writing, PyCaret requires Python 3.8, 3.9 or 3.10.\n", "\n", "Second, you will need a CrateDB instance to store and serve the data. The \n", @@ -120,13 +133,6 @@ "sign up for a free account at https://console.cratedb.cloud and \n", "[deploy a cluster].\n", "\n", - "[deploy a cluster]: https://cratedb.com/docs/cloud/en/latest/tutorials/deploy/stripe.html#deploy-cluster\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ "To populate your environment with corresponding database access credentials,\n", "create an `.env` file with the following content:\n", "\n", @@ -140,6 +146,7 @@ "\n", "You can find your CrateDB credentials in the [CrateDB Cloud Console].\n", "\n", + "[deploy a cluster]: https://cratedb.com/docs/cloud/en/latest/tutorials/deploy/stripe.html#deploy-cluster\n", "[CrateDB Cloud Console]: https://cratedb.com/docs/cloud/en/latest/reference/overview.html#cluster" ] },