diff --git a/README.md b/README.md index 59945604..6e70b59e 100644 --- a/README.md +++ b/README.md @@ -27,16 +27,16 @@ authors: affiliation: 1 - name: Laura Ootes^[co-first author] # note this makes a footnote saying 'co-first author' orcid: 0000-0002-2800-8309 - affiliation: 1 + affiliation: 1 - name: Pranav Chandramouli^[co-first author] # note this makes a footnote saying 'co-first author' orcid: 0000-0002-7896-2969 - affiliation: 1 + affiliation: 1 - name: Aron Jansen^[co-first author] # note this makes a footnote saying 'co-first author' orcid: 0000-0002-4764-9347 - affiliation: 1 + affiliation: 1 - name: Stef Smeets^[co-first author] # note this makes a footnote saying 'co-first author' orcid: 0000-0002-5413-9038 - affiliation: 1 + affiliation: 1 affiliations: - name: Netherlands eScience Center, Amsterdam, the Netherlands index: 1 @@ -121,12 +121,12 @@ You need: ```python model_path = 'your_model.onnx' # model trained on your data modality -data_item = # data item for which the model's prediction needs to be explained +data_item = # data item for which the model's prediction needs to be explained ``` 2. If the task is classification: which are the *classes* your model has been trained for? -```python +```python labels = [class_a, class_b] # example of binary classification labels ``` *Which* of these classes do you want an explanation for? @@ -148,24 +148,24 @@ We are intersted which words are contributing positively (red) and which - negat ```python model_path = 'your_text_model.onnx' # also define a model runner here (details in dedicated notebook) -review = 'The movie started great but the ending is boring and unoriginal.' -labels = ["negative", "positive"] -explained_class_index = labels.index("positive") +review = 'The movie started great but the ending is boring and unoriginal.' +labels = ["negative", "positive"] +explained_class_index = labels.index("positive") explanation = dianna.explain_text(model_path, text, 'LIME') dianna.visualization.highlight_text(explanation[explained_class_index], model_runner.tokenizer.tokenize(review)) ``` ![image](https://user-images.githubusercontent.com/6087314/155532504-6f90f032-cbb4-4e71-9b99-aa9c0de4e86a.png) -Here is another illustration on how to use dianna to explain which parts of a bee *image* contributied positively (red) or negativey (blue) towards a classifying the image as a *'bee'* using *RISE*. +Here is another illustration on how to use dianna to explain which parts of a bee *image* contributied positively (red) or negativey (blue) towards a classifying the image as a *'bee'* using *RISE*. The Imagenet model has been trained to distinguish between 1000 classes (specified in ```labels```). For images, which are data of higher dimention compared to text, there are also some specifics to consider: ```python -model_path = 'your_image_model.onnx' -image = PIL.Image.open('your_bee_image.jpeg') -axis_labels = {2: 'channels'} -explained_class_index = labels.index('bee') +model_path = 'your_image_model.onnx' +image = PIL.Image.open('your_bee_image.jpeg') +axis_labels = {2: 'channels'} +explained_class_index = labels.index('bee') explanation = dianna.explain_image(model_path, image, 'RISE', axis_labels=axis_labels, labels=labels) dianna.visualization.plot_image(explanation[explained_class_index], utils.img_to_array(image)/255., heatmap_cmap='bwr') plt.show() @@ -185,7 +185,7 @@ plt.show() ### Overview tutorial There are **full working examples** on how to use the supported explainers and how to use dianna for **all supported data modalities** in our [overview tutorial](./tutorials/overview.ipynb). -#### Demo movie (update planned): +#### Demo movie (update planned): [![Watch the video on YouTube](https://img.youtube.com/vi/u9_c5DJewLU/default.jpg)](https://youtu.be/u9_c5DJewLU) ### IMPORTANT: Sensitivity to hyperparameters @@ -194,7 +194,7 @@ The default hyperparameters used in DIANNA for each explainer as well as the val ## Dashboard -Explore the explanations of your trained model using the DIANNA dashboard (for now images, text and time series classification is supported). +Explore the explanations of your trained model using the DIANNA dashboard (for now images, text and time series classification is supported). [Click here](https://github.com/dianna-ai/dianna/tree/main/dianna/dashboard) for more information. @@ -223,17 +223,17 @@ DIANNA comes with simple datasets. Their main goal is to provide intuitive insig | Dataset | Description | Examples | Generation | | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------ | -| [Coffee dataset](https://www.timeseriesclassification.com/description.php?Dataset=Coffee) Coffe Logo | Food spectographs time series dataset for a two class problem to distinguish between Robusta and Arabica coffee beans. | example image | [data source](https://github.com/QIBChemometrics/Benchtop-NMR-Coffee-Survey) | -| [Weather dataset](https://zenodo.org/record/7525955) Weather Logo | The light version of the weather prediciton dataset, which contains daily observations (89 features) for 11 European locations through the years 2000 to 2010. | example image | [data source](https://github.com/florian-huber/weather_prediction_dataset) | +| [Coffee dataset](https://www.timeseriesclassification.com/description.php?Dataset=Coffee) Coffe Logo | Food spectographs time series dataset for a two class problem to distinguish between Robusta and Arabica coffee beans. | example image | [data source](https://github.com/QIBChemometrics/Benchtop-NMR-Coffee-Survey) | +| [Weather dataset](https://zenodo.org/record/7525955) Weather Logo | The light version of the weather prediciton dataset, which contains daily observations (89 features) for 11 European locations through the years 2000 to 2010. | example image | [data source](https://github.com/florian-huber/weather_prediction_dataset) | -### Tabular +### Tabular | Dataset | Description | Examples | Generation | | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------ | -| [Pengiun dataset](https://www.kaggle.com/code/parulpandey/penguin-dataset-the-new-iris) Penguins Logo | Palmer Archipelago (Antarctica) penguin dataset is a great intro dataset for data exploration & visualization similar to the famous Iris dataset. | example image | [data source](https://github.com/allisonhorst/palmerpenguins) | -| [Weather dataset](https://zenodo.org/record/7525955) Weather Logo | The light version of the weather prediciton dataset, which contains daily observations (89 features) for 11 European locations through the years 2000 to 2010. | example image | [data source](https://github.com/florian-huber/weather_prediction_dataset) | - -## ONNX models +| [Pengiun dataset](https://www.kaggle.com/code/parulpandey/penguin-dataset-the-new-iris) Penguins Logo | Palmer Archipelago (Antarctica) penguin dataset is a great intro dataset for data exploration & visualization similar to the famous Iris dataset. | example image | [data source](https://github.com/allisonhorst/palmerpenguins) | +| [Weather dataset](https://zenodo.org/record/7525955) Weather Logo | The light version of the weather prediciton dataset, which contains daily observations (89 features) for 11 European locations through the years 2000 to 2010. | example image | [data source](https://github.com/florian-huber/weather_prediction_dataset) | +| [Land atmosphere dataset](https://zenodo.org/records/12623257) Atmosphere Logo | It contains land-atmosphere variables and latent heat flux (LEtot) simulated by STEMMUS-SCOPE (soil-plant model), version 1.5.0, over 19 Fluxnet sites and for the year 2014 with hourly intervals. | example image | [data source](https://zenodo.org/records/12623257) | +## ONNX model @@ -276,6 +276,7 @@ And here are links to notebooks showing how we created our models on the benchma | :-------------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [Penguin model (classification)](https://zenodo.org/records/10580743) | [Penguin model generation](https://github.com/dianna-ai/dianna-exploration/blob/main/example_data/model_generation/penguin_species/generate_model.ipynb) | | [Sunshine hours prediction model (regression)](https://zenodo.org/records/10580833) | [Sunshine hours prediction model generation](https://github.com/dianna-ai/dianna-exploration/blob/main/example_data/model_generation/sunshine_prediction/generate_model.ipynb) | +| [Latent heat flux prediction model (regression)](https://zenodo.org/records/12623257) | [Latent heat flux prediction model](doi:10.5281/zenodo.12623256/stemmus_scope_emulator_model_LEtot.onnx) | **_We envision the birth of the ONNX Scientific models zoo soon..._** @@ -294,22 +295,22 @@ DIANNA supports different data modalities and XAI methods (explainers). We have | Tabular | planned | ✅ | ✅ | | Embedding | work in progress | | | | Graphs* | next steps | ... | ... | - -[LRP](https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0130140&type=printable) and [PatternAttribution](https://arxiv.org/pdf/1705.05598.pdf) also feature in the top 5 of our thoroughly evaluated explainers. + +[LRP](https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0130140&type=printable) and [PatternAttribution](https://arxiv.org/pdf/1705.05598.pdf) also feature in the top 5 of our thoroughly evaluated explainers. Also [GradCAM](https://openaccess.thecvf.com/content_ICCV_2017/papers/Selvaraju_Grad-CAM_Visual_Explanations_ICCV_2017_paper.pdf)) has been recently found to be *semantically continous*! **Contributing by adding these and more (new) post-hoc explainability methods on ONNX models is very welcome!** ### Scientific use-cases -Our goal is that the scientific community embrases XAI as a source for novel and unexplored perspectives on scientific problems. +Our goal is that the scientific community embrases XAI as a source for novel and unexplored perspectives on scientific problems. Here, we offer [tutorials](./tutorials) on specific scientific use-cases of uisng XAI: | Use-case (data) \ XAI | [RISE](http://bmvc2018.org/contents/papers/1064.pdf) | [LIME](https://www.kdd.org/kdd2016/papers/files/rfp0573-ribeiroA.pdf) | [KernelSHAP](https://proceedings.neurips.cc/paper/2017/file/8a20a8621978632d76c43dfd28b67767-Paper.pdf) | | :----------------------------------------------------------------| :----------------------------------------------------| :---------------------------------------------------------------------| :-------------------------------------------------------------------------------------------------------| | Biology (Phytomorphology): Tree Leaves classification (images) | | ✅ | | | Astronomy: Fast Radio Burst detection (timeseries) | ✅ | | | -| Geo-science (raster data) | planned | ... | ... | -| Social sciences (text) | work in progress | ... |... | -| Climate | planned | ... | ... | +| Land-atmosphere modeling: Latent heat flux prediction (tabular) | | | ✅ | +| Social sciences (text) | work in progress | ... |... | +| Climate | planned | ... | ... | ## Reference documentation diff --git a/dianna/methods/kernelshap_tabular.py b/dianna/methods/kernelshap_tabular.py index 19b8125c..a667cf0b 100644 --- a/dianna/methods/kernelshap_tabular.py +++ b/dianna/methods/kernelshap_tabular.py @@ -16,6 +16,7 @@ def __init__( mode: str = "classification", feature_names: List[int] = None, training_data_kmeans: Optional[int] = None, + silent: bool = False, ) -> None: """Initializer of KERNELSHAPTabular. @@ -32,6 +33,7 @@ def __init__( in the training data. training_data_kmeans(int, optional): summarize the whole training set with weighted kmeans + silent (bool, optional): whether to print progress messages """ if training_data_kmeans: self.training_data = shap.kmeans(training_data, @@ -41,6 +43,7 @@ def __init__( self.feature_names = feature_names self.mode = mode self.explainer: KernelExplainer + self.silent = silent def explain( self, @@ -73,8 +76,7 @@ def explain( explain_instance_kwargs = utils.get_kwargs_applicable_to_function( self.explainer.shap_values, kwargs) - saliency = self.explainer.shap_values(input_tabular, - **explain_instance_kwargs) + saliency = self.explainer.shap_values(input_tabular, silent=self.silent, **explain_instance_kwargs) if self.mode == 'regression': saliency = saliency[0] diff --git a/dianna/utils/downloader.py b/dianna/utils/downloader.py index 5fa2751c..e4a9cef6 100644 --- a/dianna/utils/downloader.py +++ b/dianna/utils/downloader.py @@ -59,6 +59,10 @@ "doi:10.5281/zenodo.10656613/apertif_frb_dynamic_spectrum_model.onnx", "sha256:3c87db3c6257d7f251a7bdceb3197d5bb482b8edc19870219fb7ca7c204dd257" ], + "stemmus_scope_emulator_model_LEtot.onnx": [ + "doi:10.5281/zenodo.12623256/stemmus_scope_emulator_model_LEtot.onnx", + "sha256:8c8f34ad5a2c519b1f3c67a4eb0c645c96cac1de166277bfb24e7887c2ce83be" + ], } labels = { @@ -141,6 +145,10 @@ "doi:10.5281/zenodo.5071376/weather_prediction_dataset_light.csv", "sha256:945883204cae14251aec44e78845eb880ed3c04ac56a26fb5283c20f149be960" ], + "stemmus_scope_emulator_train_test_2014_data.csv": [ + "doi:10.5281/zenodo.12623256/stemmus_scope_emulator_train_test_2014_data.csv", + "sha256:d30970c152f00dc45be7775361f4c88dfb084b13dd8e41fdb001c5306c136519" + ], } diff --git a/tutorials/README.md b/tutorials/README.md index 516f19d6..e3f46023 100644 --- a/tutorials/README.md +++ b/tutorials/README.md @@ -36,7 +36,7 @@ pip install .[notebooks] |*Images*|[Simple Scientific (LeafSnap30)](https://zenodo.org/record/5061353/)| $30$ tree species leaves *classification* | LeafSnap30 Logo | |*Text*| | | | |*Timeseries* | Fast Radio Burst (FRB) dataset (not publicly available) | Binary *classificaiton* of Fast Radio Burst (FRB) timeseries data : noise or a real FRB. | FRB logo| -|*Tabular*| | | | +|*Tabular*| [Land atmosphere dataset](https://zenodo.org/records/12623257)| Prediction of "latent heat flux" (*regression*). The random forest model is used as an [emulator](https://github.com/EcoExtreML/Emulator) to replace the physical model [STEMMUS_SCOPE](https://github.com/EcoExtreML/STEMMUS_SCOPE) to predict global maps of latent heat flux. | Atmosphere Logo | ### Models @@ -52,7 +52,7 @@ The ONNX models used in the tutorials are available at [dianna/models](https://g |*Text* |[nlp-logo_half_size](./explainers/RISE/rise_text.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/RISE/rise_text.ipynb) |[nlp-logo_half_size](./explainers/LIME/lime_text.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/LIME/lime_text.ipynb) |[]()| | *Time series*| [Weather Logo](./explainers/RISE/rise_timeseries_weather.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/RISE/rise_timeseries_weather.ipynb)| [Weather Logo](./explainers/LIME/lime_timeseries_weather.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/LIME/lime_timeseries_weather.ipynb)| | | | | [Coffee Logo](./explainers/LIME/lime_timeseries_coffee.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/LIME/lime_timeseries_coffee.ipynb) | | -| *Tabular* | Penguin Logo](./explainers/RISE/rise_tabular_penguin.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/RISE/rise_tabular_penguin.ipynb) | [Penguin Logo](./explainers/LIME/lime_tabular_penguin.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/LIME/lime_tabular_penguin.ipynb) |[Penguin Logo](./explainers/KernelSHAP/kernelshap_tabular_penguin.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/KernelSHAP/kernelshap_tabular_penguin.ipynb) | +| *Tabular* | [Penguin Logo](./explainers/RISE/rise_tabular_penguin.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/RISE/rise_tabular_penguin.ipynb) | [Penguin Logo](./explainers/LIME/lime_tabular_penguin.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/LIME/lime_tabular_penguin.ipynb) |[Penguin Logo](./explainers/KernelSHAP/kernelshap_tabular_penguin.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/KernelSHAP/kernelshap_tabular_penguin.ipynb) | | | | [Weather Logo](./explainers/LIME/lime_tabular_weather.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/KernelSHAP/kernelshap_tabular_weather.ipynb)|[Weather Logo](./explainers/KernelSHAP/kernelshap_tabular_weather.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/KernelSHAP/kernelshap_tabular_weather.ipynb) | To learn more about how we aproach the masking for time-series data, please read our [Masking time-series for XAI](https://blog.esciencecenter.nl/masking-time-series-for-explainable-ai-90247ac252b4) blog-post. @@ -64,7 +64,7 @@ To learn more about how we aproach the masking for time-series data, please read |*Images*| | [LeafSnap30 Logo](./explainers/LIME/lime_images.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/LIME/lime_images.ipynb) || |*Text* | | | | | *Time series*| [FRB logo](./explainers/RISE/rise_timeseries_frb.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/RISE/rise_timeseries_frb.ipynb) | | -| *Tabular* | | | | +| *Tabular* | | |[Atmosphere Logo](./explainers/KernelSHAP/kernelshap_tabular_land_atmosphere.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/KernelSHAP/kernelshap_tabular_land_atmosphere.ipynb)| ### IMPORTANT: Hyperparameters The XAI methods (explainers) are sensitive to the choice of their hyperparameters! In this [master Thesis](https://staff.fnwi.uva.nl/a.s.z.belloum/MSctheses/MScthesis_Willem_van_der_Spec.pdf), this sensitivity is researched and useful conclusions are drawn. @@ -94,12 +94,12 @@ Also the main conclusions (🠊) from the thesis (on images and text) about the 🠊 The most crucial parameter is the *Kernel width*: low values cause high sensitivity, however that observaiton was dependant on the evaluaiton metric. #### KernelSHAP -| Hyperparameter | Default value | mnist_zero_and_one_half_size (*i*)| SimpleGeometric Logo (*i*)| -| ------------- | ------------- |------------- |------------- | -| $n_{samples}$ | **auto/int** | $1000$| $2000$ | -| $n_{segments}$ | **$100$** |$200$ |$200$ | -| $sigma$ | **$0$** | default | default | +| Hyperparameter | Default value | mnist_zero_and_one_half_size (*i*)| SimpleGeometric Logo (*i*) | Atmosphere Logo (*tab*) | +| ------------- | ------------- |------------- |------------- | ------------- | +| $n_{samples}$ | **auto/int** | $1000$| $2000$ | $136588$| +| $n_{segments}$ | **$100$** |$200$ |$200$ |default | +| $sigma$ | **$0$** | default | default | default| -🠊 The most crucial parameter is the nubmer of super-pixels $n_{segments}. Higher values led to higher sensitivity, however that observaiton was dependant on the evaluaiton metric. +🠊 The most crucial parameter is the nubmer of super-pixels $n_{segments}$. Higher values led to higher sensitivity, however that observaiton was dependant on the evaluaiton metric. 🠊 Regularization had only a marginal detrimental effect, the best results were obtained using no regularization (no smoothing, $sigma = 0$) or least squares regression. diff --git a/tutorials/explainers/KernelSHAP/kernelshap_tabular_land_atmosphere.ipynb b/tutorials/explainers/KernelSHAP/kernelshap_tabular_land_atmosphere.ipynb new file mode 100644 index 00000000..15ab6fcb --- /dev/null +++ b/tutorials/explainers/KernelSHAP/kernelshap_tabular_land_atmosphere.ipynb @@ -0,0 +1,1189 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "b961e78a-3fb9-47df-b86a-3f21f18bdfb5", + "metadata": { + "tags": [] + }, + "source": [ + "\"Logo_ER10\"\n", + "\n", + "### Model interpretation using Kernel SHAP (SHapley Additive exPlanations) for terrestrial water-energy-carbon fluxes\n", + "\n", + "This notebook shows how to apply the Kernel SHAP explainability method on a model trained to predict \"**latent heat flux (LEtot)**\". \n", + "\n", + "#### Research context: \n", + "We use a Random Forest model that predicts \"LEtot\" using a set of **land-atmosphere** variables (in-situ measurments). The model's training workflow and data are based on research carried by \"Qianqian Han\" https://doi.org/10.5194/egusphere-egu24-5488 as a part of [EcoExtreML](https://research-software-directory.org/projects/ecoextreml) project. For this notebook, a subset of in-situ measurments and simulations from the year 2014 has been chosen to train the model. The time series data are organized into a 2D dataframe. In this dataframe, each row represents a single data instance at a specific time and location, while each column corresponds to a different variable name, as shown below. The simulated \"LEtot\" data are the results of a physical model [STEMMUS_SCOPE](https://github.com/EcoExtreML/STEMMUS_SCOPE) applied on different locations on the globe. The goal is to use the random forest model as an [emulator](https://github.com/EcoExtreML/Emulator) to predict global maps of \"LEtot\".\n", + "\n", + "#### Values of Kernel SHAP method:\n", + "Kernel SHAP (SHapley Additive exPlanations) values are a unified measure of feature importance that allocates the contribution of each feature to the prediction for a specific instance. In the context of a regression problem, the interpretation of Kernel SHAP values is as follows:\n", + "\n", + "- **Magnitude**: The magnitude of a SHAP value for a feature indicates the degree to which that feature affects the prediction. A larger absolute SHAP value means that the feature has a stronger impact on the output.\n", + "- **Sign**: The sign of a SHAP value indicates the direction of the effect. A positive SHAP value for a feature indicates that the presence of that feature increases the model's output, while a negative SHAP value indicates that the presence of that feature decreases the model's output.\n", + "- **Zero**: A SHAP value of zero for a feature indicates that the feature did not contribute to the prediction for that specific instance.\n", + "\n", + "It's important to note that SHAP values are instance-specific. " + ] + }, + { + "cell_type": "markdown", + "id": "fa56c977-4533-4852-bfa4-5dbb06101a32", + "metadata": { + "tags": [] + }, + "source": [ + "#### Colab Setup" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2af4d822-2986-4989-9b85-cd06e877a183", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "running_in_colab = 'google.colab' in str(get_ipython())\n", + "if running_in_colab:\n", + " # install dianna\n", + " !python3 -m pip install dianna[notebooks]" + ] + }, + { + "cell_type": "markdown", + "id": "1368fdb7-0d2e-45f8-b044-789d90efec7c", + "metadata": { + "tags": [] + }, + "source": [ + "#### 0 - Libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1e44f61a-5fa4-4790-ad25-6e1a868b03a5", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "from joblib import load\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "import dianna\n", + "from dianna import visualization\n", + "from dianna.utils import SimpleModelRunner\n", + "from dianna.utils.downloader import download\n", + "\n", + "# for plotting purpuses\n", + "import os\n", + "import shap\n", + "import textwrap\n", + "import matplotlib.pyplot as plt\n", + "from shap import Explanation\n", + "\n", + "np.random.seed(0)" + ] + }, + { + "cell_type": "markdown", + "id": "e083ba91-ac3c-4f2c-b1d6-8fe5ee2ad64f", + "metadata": {}, + "source": [ + "#### 1- Load and visualize the data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "a0d02b92-beae-4cd0-9c7f-ad2d3a9d0b05", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# this data covers only one year of data i.e. 2014\n", + "data_path = download('stemmus_scope_emulator_train_test_2014_data.csv', 'data')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2243edc2-4f1c-4ea5-9242-5a506ad0e436", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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..................................................................
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136585136585US-Myb2014-03-15 00:00:000.0346.486005309.0510101022.20000022.37499410.8781031.528500...0.00.00.00.00.00.00.01.00.00.0
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" + ], + "text/plain": [ + " Unnamed: 0 station date_UTC Precip_msr Rin \\\n", + "0 0 AU-ASM 2013-12-31 15:00:00 0.0 0.000000 \n", + "1 1 AU-ASM 2013-12-31 16:00:00 0.0 0.000000 \n", + "2 2 AU-ASM 2013-12-31 17:00:00 0.0 0.000000 \n", + "3 3 AU-ASM 2013-12-31 18:00:00 0.0 0.000000 \n", + "4 4 AU-ASM 2013-12-31 19:00:00 0.0 0.000000 \n", + "... ... ... ... ... ... \n", + "136583 136583 US-Myb 2014-03-14 22:00:00 0.0 691.839510 \n", + "136584 136584 US-Myb 2014-03-14 23:00:00 0.0 536.578495 \n", + "136585 136585 US-Myb 2014-03-15 00:00:00 0.0 346.486005 \n", + "136586 136586 US-Myb 2014-03-15 01:00:00 0.0 150.326500 \n", + "136587 136587 US-Myb 2014-03-15 02:00:00 0.0 19.586501 \n", + "\n", + " Rli p Ta ea u ... \\\n", + "0 422.350995 940.534220 31.677529 0.087688 2.134386 ... \n", + "1 405.639800 932.560705 31.299402 0.099312 1.201066 ... \n", + "2 413.726000 939.196055 30.007821 0.107478 1.354100 ... \n", + "3 412.545700 940.048085 30.011499 0.110519 1.795051 ... \n", + "4 381.210585 940.882070 29.375940 0.112046 1.729858 ... \n", + "... ... ... ... ... ... ... \n", + "136583 315.739010 1023.000000 20.380014 10.184294 2.369500 ... \n", + "136584 315.739010 1022.500000 21.415002 10.509555 1.799000 ... \n", + "136585 309.051010 1022.200000 22.374994 10.878103 1.528500 ... \n", + "136586 302.363010 1022.150000 22.409997 10.705077 1.653500 ... \n", + "136587 302.363010 1022.000000 21.284998 11.456781 1.538500 ... \n", + "\n", + " IGBP_veg_long2 IGBP_veg_long3 IGBP_veg_long4 IGBP_veg_long5 \\\n", + "0 0.0 0.0 0.0 1.0 \n", + "1 0.0 0.0 0.0 1.0 \n", + "2 0.0 0.0 0.0 1.0 \n", + "3 0.0 0.0 0.0 1.0 \n", + "4 0.0 0.0 0.0 1.0 \n", + "... ... ... ... ... \n", + "136583 0.0 0.0 0.0 0.0 \n", + "136584 0.0 0.0 0.0 0.0 \n", + "136585 0.0 0.0 0.0 0.0 \n", + "136586 0.0 0.0 0.0 0.0 \n", + "136587 0.0 0.0 0.0 0.0 \n", + "\n", + " IGBP_veg_long6 IGBP_veg_long7 IGBP_veg_long8 IGBP_veg_long9 \\\n", + "0 0.0 0.0 0.0 0.0 \n", + "1 0.0 0.0 0.0 0.0 \n", + "2 0.0 0.0 0.0 0.0 \n", + "3 0.0 0.0 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'date_UTC', 'Rin', 'Rli', 'p', 'Ta', 'ea', 'u', 'CO2', 'LAI','Vcmo', 'hc', 'Precip_msr','SSM', *[f'IGBP_veg_long{i}' for i in range(1, 12)]]\n", + "x = dataset[x_vars]\n", + "\n", + "y_vars = ['station', 'date_UTC', 'LEtot']\n", + "y = dataset[y_vars]\n", + "\n", + "# Note: These are not exactly the same data on which model was trained because of randomness in train_test_split!\n", + "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.25, random_state=0, shuffle=True)\n", + "\n", + "# sort based on time\n", + "x_test = x_test.sort_values('date_UTC')\n", + "y_test = y_test.sort_values('date_UTC')\n", + "\n", + "x_train = x_train.sort_values('date_UTC')\n", + "y_train = y_train.sort_values('date_UTC')" + ] + }, + { + "cell_type": "markdown", + "id": "dfb0c03a-34c7-4ebb-953f-20ece4ff7fe7", + "metadata": { + "tags": [] + }, + "source": [ + "#### 2- Load the model" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "e88b0899-c739-4921-9c07-031989bf6e5b", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "def preprocess(data):\n", + " data_reshaped = data\n", + " if len(data.shape) == 1:\n", + " data_reshaped = data.reshape(1,-1)\n", + " return data_reshaped.astype(np.float32)\n", + "\n", + "# this model is trained on the data of 2014\n", + "model_path = download('stemmus_scope_emulator_model_LEtot.onnx', 'model')\n", + "runner = SimpleModelRunner(model_path, preprocess_function=preprocess)" + ] + }, + { + "cell_type": "markdown", + "id": "53291587-6211-4dfc-baf1-7b66d85bd7eb", + "metadata": { + "tags": [] + }, + "source": [ + "##### Inspect the performance of the model \n", + "\n", + "Here, the correlation and relative mean absolute error (MAE) are calculated using test data" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "3ed3fc8c-0430-45e2-bdf3-ea2c6d3c1292", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Relative MAE is 0.09253918269272535 and correlation is 0.9868130054495278\n" + ] + } + ], + "source": [ + "features = x_test.drop(columns=['station', 'date_UTC']).fillna(0)\n", + "y_predict = runner(features.to_numpy())\n", + "y_actual = y_test.drop(columns=['station', 'date_UTC']).fillna(0).to_numpy()\n", + "\n", + "relative_mae = np.mean(np.abs(y_predict - y_actual))/ np.mean(y_actual)\n", + "cor = np.corrcoef(y_predict.T, y_actual.T)[0,1]\n", + "print(f\"Relative MAE is {relative_mae} and correlation is {cor}\")" + ] + }, + { + "cell_type": "markdown", + "id": "5d05435c-0077-4903-8de7-0059940a3f7a", + "metadata": { + "tags": [] + }, + "source": [ + "#### 3 - Example: Run the explainer for one sample (data instance)\n", + "\n", + "First we run DIANNA on a single data instance to show how to run DIANNA with this dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "1dbd7dbc-5ee3-4ef2-86ea-d0d2adbadd42", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# select one instance to be explained\n", + "features = x_test.drop(columns=['station', 'date_UTC']).fillna(0)\n", + "data_instance = features.iloc[0].values.reshape(1, -1)\n", + "\n", + "# The background dataset to use for integrating out features (see shap documentation)\n", + "# the number of clusters 5 is determind using kmean inertia plot, see\n", + "# https://scikit-learn.org/stable/modules/clustering.html#k-means\n", + "background_data = x_train.drop(columns=['station', 'date_UTC']).fillna(0).to_numpy()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "1f80f4a0-e8b0-4149-baae-0645f87a1cf5", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3427ac13a4e74fec8838fe45b9ef9650", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/1 [00:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "_ = visualization.plot_tabular(explanation[0], features.columns, num_features=len(features.columns))" + ] + }, + { + "cell_type": "markdown", + "id": "9e45ccd6-c04a-4e22-9e26-e9dc89ce212b", + "metadata": {}, + "source": [ + "##### some insights\n", + "The figure shows that the values of Ta, SSM, Rin in this sample had a negative effect on model's predicted value for that instance, while the value of ea had a positive effect. Some of the variables uch as IGBP and Precip_msr variables, have SHAP values of zero, indicating they did not contribute to the predictions. Let's have a look at other instances." + ] + }, + { + "cell_type": "markdown", + "id": "80411a9d-881e-4196-8559-17aaadd15841", + "metadata": {}, + "source": [ + "#### 5 - Run the explainer at one location, several data instances (here as an example one month time series)\n", + "\n", + "To investigate feature importance in general for a single location, we now run multiple data-instances through our DIANNA pipeline and inspect the results." + ] + }, + { + "cell_type": "markdown", + "id": "7a8d4242-b3ef-4f10-8b65-a52146e4f45a", + "metadata": {}, + "source": [ + "##### 5.1 - define some functions for visualizations\n", + "\n", + "The code in the following cell is necessary to display all visualizations, with their captions, side-by-side for convenient viewing." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "4c6803b8-3ed4-4f06-a811-1f7905d13e42", + "metadata": {}, + "outputs": [], + "source": [ + "def display_figures(figures, captions, rows, cols):\n", + " fig, ax = plt.subplots(rows, cols, figsize=(24, 8))\n", + " for i, figure in enumerate(figures):\n", + " figure.set_size_inches(8, 8)\n", + " figure.savefig(f'fig{i}.png', dpi=100)\n", + " image_data = plt.imread(f'fig{i}.png')\n", + " ax[i].imshow(image_data)\n", + " ax[i].axis('off')\n", + " wrapped_caption = textwrap.fill(captions[i], width=60)\n", + " ax[i].text(0.5, -0.2, wrapped_caption, size=10, ha=\"center\",\n", + " transform=ax[i].transAxes)\n", + " # Remove the temporary file\n", + " os.remove(f'fig{i}.png')\n", + " plt.show()\n", + "\n", + "\n", + "def comparison_plot(y_actual, y_pred, show=True):\n", + " plt.plot(y_actual, label='Actual', color=\"blue\", linewidth=3, alpha=0.7)\n", + " plt.plot(y_pred, label='Prediction', color=\"orange\")\n", + " plt.xlabel('time index')\n", + " plt.ylabel('LEtot')\n", + " plt.legend()\n", + " if show:\n", + " plt.show()\n", + "\n", + "captions = [\"Fig 1: Prediction vs Actual time series using test data. The x axis is time index.\", \n", + " \"Fig 2: Heatamp. The x axis is time index. The y axis is the feature names. The colorbar shows the shap values. \"\n", + " \"The f(x) graph shows the cumulative SHAP values across all features for each sample, \"\n", + " \"highlighting the relative importance of features across different samples.\", \n", + " \"Fig 3: Summary. The x axis is shap values. The colorbar shows the range of each feature values (from low to high).\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "bcd5292c-101c-4bd4-abe8-1f5f1e3bb4af", + "metadata": {}, + "outputs": [], + "source": [ + "# to store explanations values\n", + "explanations = {}" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "44a9e1ed-bef7-453d-a308-9a649214ba27", + "metadata": {}, + "outputs": [], + "source": [ + "# select one location and time steps\n", + "location = \"US-Myb\"\n", + "month = 1\n", + "key = f\"{location}_{month}\"\n", + "\n", + "x_test_time = x_test[(x_test[\"station\"] == location) & (x_test[\"date_UTC\"].dt.month == month)]\n", + "features = x_test_time.drop(columns=['station', 'date_UTC']).fillna(0)\n", + "background_data = x_train.drop(columns=['station', 'date_UTC']).fillna(0).to_numpy()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "598deb27-0ff9-4af3-ad37-b48e8823d098", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dianna is done!\n" + ] + } + ], + "source": [ + "# run explainer over time series, this might take a few minutes\n", + "explanations[key] = dianna.explain_tabular(runner, input_tabular=features.values, method='kernelshap',\n", + " mode ='regression', training_data=background_data, training_data_kmeans=5,\n", + " feature_names=features.columns, silent=True)\n", + "\n", + "print(\"Dianna is done!\") " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "58e165a8-e59d-48fa-bba7-c491581708f9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# create shap_values object\n", + "shap_values = Explanation(explanations[key])\n", + "shap_values.feature_names = features.columns\n", + "\n", + "# create comparison plot: predictions vs test data \n", + "y_predict_time = runner(features.to_numpy())\n", + "y_test_time = y_test[(y_test[\"station\"] == location) & (y_test[\"date_UTC\"].dt.month == month)].drop(columns=['station', 'date_UTC']).fillna(0).to_numpy()\n", + "comparison_plot(y_test_time, y_predict_time, show=False) \n", + "comparison_img = plt.gcf()\n", + "plt.close()\n", + "\n", + "# create summary plot\n", + "shap.summary_plot(shap_values, features.values, feature_names=features.columns, cmap=\"PRGn\", show=False, max_display=15)\n", + "summary_img = plt.gcf()\n", + "plt.close()\n", + "\n", + "# create heatmap plot\n", + "shap.plots.heatmap(shap_values, cmap=\"bwr\", show=False, max_display=15)\n", + "heatmap_img = plt.gcf()\n", + "plt.close()\n", + "\n", + "# plot all three figures in one cell\n", + "figures = [comparison_img, heatmap_img, summary_img]\n", + "display_figures(figures, captions, 1, 3)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "4f52e487-4616-49e2-86b9-08a8b8ed8ecc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Relative MAE is 0.2215188921211095 and correlation is 0.9700512335266412\n" + ] + } + ], + "source": [ + "relative_mae = np.mean(np.abs(y_predict_time - y_test_time))/ np.mean(y_test_time)\n", + "cor = np.corrcoef(y_predict_time.T, y_test_time.T)[0,1]\n", + "print(f\"Relative MAE is {relative_mae} and correlation is {cor}\")" + ] + }, + { + "cell_type": "markdown", + "id": "5e993ae9-bf7b-47cb-a674-5a361dc8b7e3", + "metadata": {}, + "source": [ + "##### some insights\n", + "Figure 1 illustrates that under-predictions (where predicted values are lower than actual test values) predominantly occur in the first half of the time series. To understand this behavior, we can examine the SHAP values for further insights. As shown in Figure 2, the SHAP values for three variables (Ta, Rin, and SSM) are largely negative in the first half of the time series. According to SHAP definitions, these three variables are contributing most to this under-predictions. Figure 3 reveals that both high and low values of Ta and SSM lead to negative SHAP values, while only low values of Rin result in negative SHAP values.\n", + "\n", + "Conversely, Figure 1 shows that over-predictions (where predicted values are higher than actual test values) mainly occur in the latter part of the time series. To investigate the cause of these spikes, we again refer to the SHAP values. Figure 2 indicates that the SHAP values of Rin are strongly positive in the latter part of the time series. Additionally, the SHAP values of SSM remain strongly negative in this part of the series. From Figure 3, we observe that only high values of Rin lead to high positive SHAP values and are contributing most to over-predictions.\n", + "\n", + "Another observation from Figures 2 and 3 is that several variables, such as IGBP and Precip_msr variables, have SHAP values of zero, indicating they did not contribute to the predictions." + ] + }, + { + "cell_type": "markdown", + "id": "618d964a-d011-4ed0-9204-660740d0cbac", + "metadata": {}, + "source": [ + "### Select a different location and month\n", + "\n", + "Now we are going to investigate the feature importance for a different location and time." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "51ae2fca-ac1c-4f33-be90-49513d38abc7", + "metadata": {}, + "outputs": [], + "source": [ + "# select one location and time steps\n", + "location = \"US-Me6\"\n", + "month = 2\n", + "key = f\"{location}_{month}\"\n", + "\n", + "x_test_time = x_test[(x_test[\"station\"] == location) & (x_test[\"date_UTC\"].dt.month == month)]\n", + "features = x_test_time.drop(columns=['station', 'date_UTC']).fillna(0)\n", + "background_data = x_train.drop(columns=['station', 'date_UTC']).fillna(0).to_numpy()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "ea8de04a-dfeb-4892-a20a-10621470e3b9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dianna is done!\n" + ] + } + ], + "source": [ + "# run explainer over time series, this might take a few minutes\n", + "explanations[key] = dianna.explain_tabular(runner, input_tabular=features.values, method='kernelshap',\n", + " mode ='regression', training_data=background_data, training_data_kmeans=5,\n", + " feature_names=features.columns, silent=True)\n", + "\n", + "print(\"Dianna is done!\") " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "e3b17dfd-fc4c-4481-bb5d-5077042bcb94", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# create shap_values object\n", + "shap_values = Explanation(explanations[key])\n", + "shap_values.feature_names = features.columns\n", + "\n", + "# create comparison plot: predictions vs test data \n", + "y_predict_time = runner(features.to_numpy())\n", + "y_test_time = y_test[(y_test[\"station\"] == location) & (y_test[\"date_UTC\"].dt.month == month)].drop(columns=['station', 'date_UTC']).fillna(0).to_numpy()\n", + "comparison_plot(y_test_time, y_predict_time, show=False) \n", + "comparison_img = plt.gcf()\n", + "plt.close()\n", + "\n", + "# create summary plot\n", + "shap.summary_plot(shap_values, features.values, feature_names=features.columns, cmap=\"PRGn\", show=False, max_display=15)\n", + "summary_img = plt.gcf()\n", + "plt.close()\n", + "\n", + "# create heatmap plot\n", + "shap.plots.heatmap(shap_values, cmap=\"bwr\", show=False, max_display=15)\n", + "heatmap_img = plt.gcf()\n", + "plt.close()\n", + "\n", + "# plot all three figures in one cell\n", + "figures = [comparison_img, heatmap_img, summary_img]\n", + "display_figures(figures, captions, 1, 3)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "94dfef6f-3568-4765-b051-2a05105dacf6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Relative MAE is 0.27991943305822775 and correlation is 0.9344053781949128\n" + ] + } + ], + "source": [ + "relative_mae = np.mean(np.abs(y_predict_time - y_test_time))/ np.mean(y_test_time)\n", + "cor = np.corrcoef(y_predict_time.T, y_test_time.T)[0,1]\n", + "print(f\"Relative MAE is {relative_mae} and correlation is {cor}\")" + ] + }, + { + "cell_type": "markdown", + "id": "b878e5f0-c21e-4055-8fe7-9ac227405ce6", + "metadata": {}, + "source": [ + "##### some insights\n", + "Figure 1 illustrates that under-predictions (where predicted values are lower than actual test values) predominantly occur in the middle of the time series. To understand this behavior, we can examine the SHAP values for further insights. As shown in Figure 2, the SHAP values for three variables (Ta, Rin, and SSM) are largely negative in the middle of the time series. According to SHAP definitions, these three variables are contributing most to this under-predictions. Figure 3 reveals that both high and low values of Ta and SSM lead to negative SHAP values, while only low values of Rin result in negative SHAP values.\n", + "\n", + "Another observation from Figures 2 and 3 is that several variables, such as IGBP and Precip_msr variables, have SHAP values of zero, indicating they did not contribute to the predictions." + ] + }, + { + "cell_type": "markdown", + "id": "39c0a710-ad17-4b97-8cfc-888b20f96ccc", + "metadata": {}, + "source": [ + "##### zoom in\n", + "Figure 1 illustrates that at time index = 96 there is an under-predictions (where predicted value is 61.001163 whereas actual value is 94.3072815). To understand this, let's zoom in to the data and ask diannan to explain this instance." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "9de8f681-0adc-4a3c-932f-26e2a9100b69", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3935807873c44ae2b5dde5271fbe5e8e", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/1 [00:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# select data where there is a large under-predictions\n", + "data_instance = features.iloc[96].values.reshape(1, -1) \n", + "explanation = dianna.explain_tabular(runner, input_tabular=data_instance, method='kernelshap',\n", + " mode ='regression', training_data=background_data, training_data_kmeans=5,\n", + " feature_names=features.columns)\n", + "_ = visualization.plot_tabular(explanation[0], features.columns, num_features=len(features.columns))" + ] + }, + { + "cell_type": "markdown", + "id": "84649c2c-ec64-4568-97c9-7b9adc4ce682", + "metadata": {}, + "source": [ + "##### some insights\n", + "This figure illustrates that the variable Ta is contributing (negatively) most to this under-predictions." + ] + }, + { + "cell_type": "markdown", + "id": "8180cd5f-4bef-41e4-b7aa-8ed4f46e386c", + "metadata": {}, + "source": [ + "##### another zoom in\n", + "Figure 1 illustrates that at time index = 101 there is an over-predictions (where predicted value is 117.56776 whereas actual value is 92.1536555). To understand this, let's zoom in to the data and ask diannan to explain this instance." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "bda0aa70-bfe4-4f7e-adee-5d54d11ed1f9", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "41aeb9bbf05e4bc497c33e28d9bc05b9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/1 [00:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# select data where there is a large over-predictions\n", + "data_instance = features.iloc[101].values.reshape(1, -1) \n", + "explanation = dianna.explain_tabular(runner, input_tabular=data_instance, method='kernelshap',\n", + " mode ='regression', training_data=background_data, training_data_kmeans=5,\n", + " feature_names=features.columns)\n", + "_ = visualization.plot_tabular(explanation[0], features.columns, num_features=len(features.columns))" + ] + }, + { + "cell_type": "markdown", + "id": "6d493cc7-56d9-4f2b-bc12-8677b29cfb00", + "metadata": {}, + "source": [ + "##### some insights\n", + "This figure illustrates that the variable Rin is contributing (positively) most to this over-predictions." + ] + }, + { + "cell_type": "markdown", + "id": "a9bcddca-5e1c-4c2e-8143-a38975349871", + "metadata": {}, + "source": [ + "### 6. Conclusion\n", + "\n", + "In this notebook, we use a Random Forest model to predict \"latent heat flux (LEtot)\" using a set of 23 land-atmosphere features. To interpret the model's predictions, we run the KernelSHAP method via Dianna to assess the contribution of each feature to the output. The shap values showed that the features Ta, Rin, and SSM hold the greatest importance, while variables such as IGBP and Precip_msr did not contribute to the predictions." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "11472329-764a-4938-9b47-5765e14c5d42", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}