From c1cf5675b12b223cebeae3d3114f257590fcc318 Mon Sep 17 00:00:00 2001 From: lisekarimi Date: Sat, 7 Jun 2025 05:08:01 +0200 Subject: [PATCH] Clean up notebook to reduce file sizes --- .../lisekarimi/10_part1_ensemble_model.ipynb | 8592 +---------------- .../lisekarimi/10_part2_modal.ipynb | 41 +- 2 files changed, 52 insertions(+), 8581 deletions(-) diff --git a/week8/community_contributions/lisekarimi/10_part1_ensemble_model.ipynb b/week8/community_contributions/lisekarimi/10_part1_ensemble_model.ipynb index 6e164b0..5635a9f 100644 --- a/week8/community_contributions/lisekarimi/10_part1_ensemble_model.ipynb +++ b/week8/community_contributions/lisekarimi/10_part1_ensemble_model.ipynb @@ -30,7 +30,8 @@ "\n", "---\n", "๐Ÿ“ข Find more LLM notebooks on my [GitHub repository](https://github.com/lisekarimi/lexo)" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -147,7 +148,8 @@ }, "source": [ "### ๐Ÿ“ฅ Load Test Dataset" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -208,7 +210,8 @@ }, "source": [ "### ๐Ÿ“ฅ Load Models and ChromaDB" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -616,7 +619,8 @@ }, "source": [ "### ๐Ÿ“Š Model prediction collection" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -743,7 +747,8 @@ "metadata": {}, "source": [ "### โœ‚๏ธ Split dataset and process" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -830,7 +835,8 @@ "- FT-LLaMA Predictions: [99.0, 53.0, 550.0, 852.0, ...]\n", "- GPT-4o-mini Predictions: [179.99, 97.0, 348.0, 769.0, ...]\n", "- XGBoost Predictions: [220.19, 59.85, 254.29, 335.76, 165.04, ...]" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -871,7 +877,8 @@ "metadata": {}, "source": [ "### ๐Ÿ‹๏ธTrain the Ensemble Model" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -922,7 +929,8 @@ "\n", "\n", "Overall: FT_LLaMA leads, max adds value, XGBoost corrects for overestimationโ€”resulting in a balanced ensemble." - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -932,7 +940,8 @@ }, "source": [ "### ๐Ÿ”ฎ Prediction" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -994,7 +1003,8 @@ }, "source": [ "### ๐Ÿงช Evaluation" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -1042,7 +1052,8 @@ "Generally, an Rยฒ above 0.7 is considered good for price prediction tasks\n", "- RMSE = 127.6: Average error; good if prices are in the thousands.\n", "- MAPE = 29.7%: This means our predictions are off by roughly 30% on average. Typical for price prediction, but thereโ€™s room for improvement.\n" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -1052,7 +1063,8 @@ }, "source": [ "### ๐Ÿš€ Push to HF" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -1107,8562 +1119,8 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.11" - }, - "widgets": { - "application/vnd.jupyter.widget-state+json": { - "0084e537ffa74ab4a6d5f307b0916d2c": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - 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] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -42,7 +43,8 @@ "- ๐Ÿง‘โ€๐Ÿ’ป Local vs Remote code execution:\n", " - Local code runs on your machine\n", " - Remote code runs in the cloud (via Modal" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -53,7 +55,8 @@ "- Before starting, install Modal in your environment (Run this once): `uv pip install modal`\n", "- Create an account at modal.com (they give you $5 free to start).\n", "- Then authenticate your environment: `modal setup`" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -101,7 +104,8 @@ "- `modal.App`: Defines and registers the Modal app\n", "- `.remote()`: Sends request to Modal API to execute the code remotely\n", "- `modal deploy -m`: Deploys app permanently like a real cloud service" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -109,7 +113,8 @@ "metadata": {}, "source": [ "## โš™๏ธ Minimal Example" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -148,7 +153,8 @@ "What we have here is an **ephemeral app**: the container shuts down after finishing.\n", "\n", "For our project, we need a persistently running app that behaves like a production API. To achieve that, we should use `modal deploy -m`, making the app suitable for serving AI services reliably." - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -156,7 +162,8 @@ "metadata": {}, "source": [ "## ๐Ÿ“ฆ Persistent Deployment with `modal deploy`" - ] + ], + "outputs": [] }, { "attachments": { @@ -180,7 +187,8 @@ "This builds and deploys the app (`example-hello-world`), registers `f()`, and makes it callable via `.remote()` anytime โ€” even outside the notebook.\n", "\n", "![image.png](attachment:b84a3557-9805-462f-a1d5-008b3aa4f4f5.png)" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -239,7 +247,8 @@ "- Prepare the app to handle `.remote()` calls when they come in\n", "\n", "![image.png](attachment:b950fed1-8806-424c-830a-d8b99927801e.png)" - ] + ], + "outputs": [] }, { "attachments": { @@ -279,7 +288,8 @@ "To save credits, you can set `min_containers=0` and `scaledown_window=300` โ€” this way, no container stays warm by default, and a new one will spin up only when `.remote()` is called (i.e., on cold start).\n", "\n", "![image.png](attachment:4a22e438-6b25-4c69-9439-99d146ffd188.png)\n" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -303,7 +313,8 @@ "letโ€™s go one step further โ€” wrap this logic inside a local Python class.\n", "\n", "In the next step, we'll build a local Agent that cleanly interacts with our deployed `Modal app`, using the same `Modal API` under the hood." - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -324,7 +335,8 @@ "2. `.price.remote(...)` โ†’ runs the remote method on Modal \n", "\n", "This keeps our code clean and modular." - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -347,7 +359,8 @@ "Now that weโ€™ve seen how Modal agents work โ€” connecting to remote services and running `.remote()` โ€” weโ€™ll use the same pattern for the rest of our models.\n", "\n", "โœ… For each model โ€” **XGBoost**, **GPT-4o RAG**, and the **Ensemble** โ€” weโ€™ll build a dedicated Agent. " - ] + ], + "outputs": [] } ], "metadata": { @@ -371,4 +384,4 @@ }, "nbformat": 4, "nbformat_minor": 5 -} +} \ No newline at end of file